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Natural Language Processing (NLP) Tutorial with Python & NLTK
 
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This video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and more. Python, NLTK, & Jupyter Notebook are used to demonstrate the concepts. This tutorial was developed by Edureka. 🔗NLP Certification Training: https://goo.gl/kn2H8T 🔗Subscribe to the Edureka YouTube channel: https://www.youtube.com/user/edurekaIN 🔗Edureka Online Training: https://www.edureka.co/ -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
Views: 26584 freeCodeCamp.org
Sentiment Analysis in 4 Minutes
 
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Link to the full Kaggle tutorial w/ code: https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words Sentiment Analysis in 5 lines of code: http://blog.dato.com/sentiment-analysis-in-five-lines-of-python I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ The Stanford Natural Language Processing course: https://class.coursera.org/nlp/lecture Cool API for sentiment analysis: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 108920 Siraj Raval
12.1: What is word2vec? - Programming with Text
 
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In this new playlist, I explain word embeddings and the machine learning model word2vec with an eye towards creating JavaScript examples with ml5.js. 🎥 Next Video: https://youtu.be/mI23bDF0VRI 🎥 Playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aQ0oh9nH8c6U1j9gCg-GdF 🔗 Understanding Word Vectors by Allison Parrish: https://gist.github.com/aparrish/2f562e3737544cf29aaf1af30362f469 🎥 "Experimental Creative Writing with the Vectorized Word" by Allison Parrish: https://youtu.be/L3D0JEA1Jdc 🎥 What is a Vector: https://youtu.be/mWJkvxQXIa8 🚂 Website: http://thecodingtrain.com/ 💖 Patreon: https://patreon.com/codingtrain 🛒 Store: https://www.designbyhumans.com/shop/codingtrain/ 📚 Books: https://www.amazon.com/shop/thecodingtrain 🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🔗 p5.js: https://p5js.org 🔗 Processing: https://processing.org
Views: 51187 The Coding Train
C Programming Tutorial | Learn C programming | C language
 
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C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. 1) This is by far the most comprehensive C Programming course you'll find here, or anywhere else. 2) This C Programming tutorial Series starts from the very basics and covers advanced concepts as we progress. This course breaks even the most complex applications down into simplistic steps. 3) It is aimed at complete beginners, and assumes that you have no programming experience whatsoever. 4) This C Programming tutorial Series uses Visual training method, offering users increased retention and accelerated learning. Every programmer should and must have learnt C whether it is a Java or C# expert, Because all these languages are derived from C. In this tutorial you will learn all the basic concept of C programming language. Every section in this tutorial is downloadable for offline learning. Topics will be added additional to the tutorial every week or the other which cover more topics and with advanced topics. This is we will Learn Data Types, Arithmetic, If, Switch, Ternary Operator, Arrays, For Loop, While Loop, Do While Loop, User Input, Strings, Functions, Recursion, File I/O, Exceptions, Pointers, Reference Operator , memory management, pre-processors and more. #Ctutorialforbeginners #Ctutorial #Cprogramming #Cprogrammingtutorial #Cbasicsforbeginners c tutorial for beginners. C programming tutorials for beginners. C Programming Language Tutorials Time: 00:12:35 - Lesson 2 - C programming introduction and first ‘hello world’ program Time: 00:25:45 - Lesson 3 - simple input & output ( printf, scanf, placeholder ) Time: 00:41:07 - Lesson 4: Comments Time: 00:44:32 - Lesson 5 - Variables and basic data types Time: 00:52:41 - Lesson 6 - simple math & operators Time: 1:00:00 - lesson 7 - if statements Time: 1:09:00 - lesson 8 - if else & nested if else Time: 1:20:00 - lesson 9 - the ternary (conditional) operator in C Time: 1:28:56 - Lesson 10 - Switch Statement in C Time: 1:43:35 - Lesson 11 - while loop Time: 1:52:24 - Lesson 12 - do while loop Time: 2:01:14 - Lesson 13 - for loop Time: 2:11:25 - Lesson 14 - functions in C Time: 2:22:54 - Lesson 15: Passing parameters and arguments in C Time: 2:31:40 - Lesson 16: Return values in functions Time: 2:41:33 - Lesson 17: scope rules in C Time: 2:51:08 - Lesson 18: Arrays in C Time: 3:02:28 - Lesson 19: Multidimentional arrays in C Time: 3:12:33 - Lesson 20: Passing Arrays as function arguments in C Time: 3:24:54 - Lesson 21: Pointers in C Time: 3:35:36 - Lesson 22: Array of pointers Time: 3:43:38 - Lesson 23: Passing pointers as function arguments Time: 3:57:44 - Lesson 24: Strings in C Time: 4:12:17 - Lesson 25: (struct) structures in C Time: 4:27:10 - Lesson 26: Unions in C -------------------Online Courses to learn---------------------------- Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Python Certification Training for Data Science - http://bit.ly/2BB3PV8 Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter
Views: 4115101 ProgrammingKnowledge
Natural Language Processing With Python and NLTK p.1 Tokenizing words and Sentences
 
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Natural Language Processing is the task we give computers to read and understand (process) written text (natural language). By far, the most popular toolkit or API to do natural language processing is the Natural Language Toolkit for the Python programming language. The NLTK module comes packed full of everything from trained algorithms to identify parts of speech to unsupervised machine learning algorithms to help you train your own machine to understand a specific bit of text. NLTK also comes with a large corpora of data sets containing things like chat logs, movie reviews, journals, and much more! Bottom line, if you're going to be doing natural language processing, you should definitely look into NLTK! Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1 sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 492229 sentdex
Coding Challenge #44.1: AFINN-111 Sentiment Analysis - Part 1
 
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This is Part 1 of a two-part Coding Challenge on Sentiment Analysis with the AFINN-111 word list. In this video, I explain what the AFINN-111 is and how to convert Tab Separated Values (.tsv) data into JSON data. This video is part of Session 8 of the "Programming from A to Z" ITP class. Link to Part 2: https://youtu.be/VV1JmMYceJw Course url: http://shiffman.net/a2z/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman Links discussed in this video: AFINN: http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010 Node.js: https://nodejs.org/ Express.js: http://expressjs.com/ p5.js: https://p5js.org/ GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/0siX/
Views: 22057 The Coding Train
1.1: Introduction - Programming with Text
 
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Welcome to Programming from A to Z! "Programming from A to Z" is a course I teach at ITP (http://itp.nyu.edu). This playlist is anyone who would like to follow along online. Each week, I'll release videos on a new topic. Here is the course description. This course focuses on programming strategies and techniques behind procedural analysis and generation of text-based data. We'll explore topics ranging from evaluating text according to its statistical properties to the automated production of text with probabilistic methods to text visualization. Students will learn server-side and client-side JavaScript programming and develop projects that can be shared and interacted with online. There will be weekly homework assignments as well as a final project. Course url: http://shiffman.net/a2z/ Next Video: https://youtu.be/d3OcFexe9Ik Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Links discussed in this video: ITP from Tisch School of the Arts: https://tisch.nyu.edu/itp Influences and Inspiration for the Programming from A to Z class: Jackson Mac Low's Wikipedia Page: https://en.wikipedia.org/wiki/Jackson_Mac_Low Nick Montfort: http://nickm.com/ Allison Parrish: http://www.decontextualize.com/ Kate Compton's Tracery: https://github.com/galaxykate/tracery Addie Wagenknecht: http://www.placesiveneverbeen.com/ Lynn Cherny: http://www.ghostweather.com/bio.html Darius Kazemi: http://tinysubversions.com/ Eyeo Festival on Vimeo: https://vimeo.com/eyeofestival Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/V91D/
Views: 129033 The Coding Train
Learning Python 012: Building a Spellcheck Program
 
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Instead of discussing a specific topic, I thought I'd work on a small project that incorporated most of the things we've been learning. Download the words list here: https://users.cs.duke.edu/~ola/ap/linuxwords Download the project source code (including the words list) here: https://brandonio21.com/static/pmt.zip Thanks for watching!
Views: 3982 BrandonioProductions
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
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We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 168808 Timothy DAuria
How to Make a Text Summarizer - Intro to Deep Learning #10
 
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I'll show you how you can turn an article into a one-sentence summary in Python with the Keras machine learning library. We'll go over word embeddings, encoder-decoder architecture, and the role of attention in learning theory. Code for this video (Challenge included): https://github.com/llSourcell/How_to_make_a_text_summarizer Jie's Winning Code: https://github.com/jiexunsee/rudimentary-ai-composer More Learning resources: https://www.quora.com/Has-Deep-Learning-been-applied-to-automatic-text-summarization-successfully https://research.googleblog.com/2016/08/text-summarization-with-tensorflow.html https://en.wikipedia.org/wiki/Automatic_summarization http://deeplearning.net/tutorial/rnnslu.html http://machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/ Please subscribe! And like. And comment. That's what keeps me going. Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 172767 Siraj Raval
KMeans Text Classification and Document Similarity with C# - Source Code Included
 
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Machine Learning from scratch with C# on Text Classification Blog: http://code-ai.mk/ One of the widely used natural language processing task in different business problems is “Text Classification”. The goal of text classification is to automatically classify the text documents into one or more defined categories. This is a short demonstration on how to cluster/group text documents.We'll use KMeans which is an unsupervised machine learning algorithm. On the video you can see I have collected a lot of Wikipedia articles on three categories and I want to classify them or rank them by similarity. First I process the text, then I create a word dictionary. Based on the word dictionary I will create another frequency dictionary which will contain the frequency at which every word occurs. I will need this to additionally clean up the text from words that do not bring any value/information to the clustering algorithm. Finally I would run KMeans using euclidean distance to find the centroids in the cluster of data. Similar documents would then be grouped together. The project is written from scratch in C#. Source code is also fully available on my blog or upon request. Blog: http://code-ai.mk/
Views: 1013 Vanco Pavlevski
Import Data and Analyze with MATLAB
 
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Data are frequently available in text file format. This tutorial reviews how to import data, create trends and custom calculations, and then export the data in text file format from MATLAB. Source code is available from http://apmonitor.com/che263/uploads/Main/matlab_data_analysis.zip
Views: 411099 APMonitor.com
Building Bitcoin Software From Source Code
 
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Presentation Slides: http://averageradical.github.io/compile/#/ Send Tips directly to KevG @ bitcoin:1QDEf7xr33aHGPZUHg9WHQkyGLcYKXcv4i Much of the software associated with Bitcoin is open source, i.e. wallets, address generators, mining software, operating systems... Open source means the raw computer code is publicly available for scrutiny. Open source software is usually considered less buggy and more secure. One common obstacle with open source software is transforming it from the raw computer code to a program that runs on your phone, tablet, laptop, desktop. This process is called 'building from source'. This presentation seeks to demonstrate how to build from source several useful applications, with the ability to run these programs on multiple operating systems. Additionally, we will dive into the source code to make small changes prior to building, i.e. background color, edit text, etc... No software development experience necessary.
Views: 25900 Edge
What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
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This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 832415 Paul Programming
Whatsapp chat sentiment analysis in R | Sudharsan
 
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Whatsapp Chat Sentiment analysis using R programming! Subscribe to my channel for new and cool tutorials. You can also reach out to me on twitter: https://twitter.com/sudharsan1396 Code for this video: https://github.com/sudharsan13296/Whatsapp-analytics
Naive Bayes w/ JAVA - Tutorial 01
 
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Website + download source code @ http://www.zaneacademy.com
Views: 7824 zaneacademy
Jason Kessler - Using Scattertext and the Python NLP Ecosystem for Text Visualization
 
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Description Scattertext is a Python package that lets you compare and contrast how words are used differently in two types of documents, producing interactive, Javascript-based visualizations that can easily be embedded into Jupyter Notebooks. Using spaCy and Empath, Scattertext can also show how emotional states and words relating to a particular topic differ. Abstract Notebooks and presentation for this talk are available from https://github.com/JasonKessler/Scattertext-PyData. Motivation and introduction -What's the matter with word clouds? -How to read a plot made by Scattertext How to make your own plots -Preparing a Pandas data frame with your data set -Plotting with Scattertext, and fine tuning plots for interpretability and speed Scattertext and the Python NLP ecosystem -Visualizing emotions using Empath. -Using word vectors from spaCy and elsewhere see how topic-specific language differs. -Visualizing topic models from scikit-learn. Links -Source code for the package is hosted on Github at github.com/JasonKessler/scattertext. -For more information, please see the paper which will appear as a 2017 ACL Demo at https://arxiv.org/abs/1703.00565. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 4771 PyData
C Programming for Machine Learning (LIVE)
 
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The ability to write implementations of machine learning algorithms in pure C allows developers to very efficiently manage memory allocation, concurrency, and control flow. That means fast implementations that can outperform preexisting models in other languages, including even (gasp) Python. It’s a useful skill to know and in this live stream I’ll use C and C-based Python tools like Cython + spaCy to develop some really fast natural language processing algorithms for text data. We’ll be able to tokenize, tag, normalize, vectorize, and dependency parse articles of text to derive valuable insights. No installation necessary, we'll do this together using Google Colab in the browser. Join me, there’s a lot to cover here! Code for this video: https://github.com/llSourcell/c_programming_for_machine_learning Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More learning resources: https://pydata.org/berlin2016/schedule/presentation/51/ https://smerity.com/articles/2018/cython_for_high_and_low.html https://explosion.ai/blog/writing-c-in-cython https://spacy.io/api/cython https://medium.com/huggingface/100-times-faster-natural-language-processing-in-python-ee32033bdced Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Learn more about the School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 31473 Siraj Raval
Twitter Sentiment Analysis - Natural Language Processing With Python and NLTK p.20
 
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Finally, the moment we've all been waiting for and building up to. A live test! We've decided to employ this classifier to the live Twitter stream, using Twitter's API. We've already covered how to do live Twitter API streaming, if you missed it, you can catch up here: http://pythonprogramming.net/twitter-api-streaming-tweets-python-tutorial/ After this, we output the findings to a text file, which we intend to graph! Playlist link: https://www.youtube.com/watch?v=FLZvOKSCkxY&list=PLQVvvaa0QuDf2JswnfiGkliBInZnIC4HL&index=1 sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 87918 sentdex
9.1: What is Firebase? (Database as a Service) - Programming with Text
 
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In this video, I introduce the concept of "Database as a Service" (DBaaS). I discuss how you can store data in a web application written with client-side JavaScript only. This is the first video in a tutorial series about Firebase. This video is part of the "Programming from A to Z" ITP course. Next video: https://youtu.be/7lEU1UEw3YI Course url: http://shiffman.net/a2z/firebase/ Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: https://twitter.com/shiffman GitHub Repo with all the info for Programming from A to Z: https://github.com/shiffman/A2Z-F16 Links discussed in this video: Firebase: https://firebase.google.com/ https://firebase.google.com/docs/database/web/read-and-write Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code For More Programming from A to Z videos: https://www.youtube.com/user/shiffman/playlists?shelf_id=11&view=50&sort=dd For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/1IZm/
Views: 92641 The Coding Train
How to Make a Calculator in C# Windows Form Application Part-1
 
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Source code - http://www.codebind.com/c-sharp/make-calculator-c-windows-form-application/ -------------------Online Courses to learn---------------------------- Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Python Certification Training for Data Science - http://bit.ly/2BB3PV8 Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter Windows 8 Simple Calculator sample in C# for Visual Studio Visual Studio WinForm Windows Calculator Tutorial Sample Calculator with windows form application in c# Creating a Calculator Visual Studio C# Calculator in C# (Windows Application) how to create calculater in window application with c# A Calculator using C# Simple Calculator in C# Creating A Calculator Using Windows Form Application Make simple calculator in c# windows form application calculator code in c# windows form application calculator program in c# using windows forms window form application in c#
Views: 573804 ProgrammingKnowledge
An Introduction to GPU Programming with CUDA
 
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If you can parallelize your code by harnessing the power of the GPU, I bow to you. GPU code is usually abstracted away by by the popular deep learning frameworks, but knowing how it works is really useful. CUDA is the most popular of the GPU frameworks so we're going to add two arrays together, then optimize that process using it. I love CUDA! Code for this video: https://github.com/llSourcell/An_Introduction_to_GPU_Programming Alberto's Winning Code: https://github.com/alberduris/SirajsCodingChallenges/tree/master/Stock%20Market%20Prediction Hutauf's runner-up code: https://github.com/hutauf/Stock_Market_Prediction Please Subscribe! And like. And comment. That's what keeps me going. Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: http://supercomputingblog.com/cuda-tutorials/ http://www.nvidia.com/docs/IO/116711/sc11-cuda-c-basics.pdf https://devblogs.nvidia.com/parallelforall/even-easier-introduction-cuda/ https://developer.nvidia.com/cuda-education-training https://llpanorama.wordpress.com/cuda-tutorial/ https://www.udacity.com/course/intro-to-parallel-programming--cs344 http://lorenabarba.com/gpuatbu/Program_files/Cruz_gpuComputing09.pdf http://cuda-programming.blogspot.nl/p/tutorial.html https://www.cc.gatech.edu/~vetter/keeneland/tutorial-2011-04-14/02-cuda-overview.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ No, Nvidia did not pay me to make this video lol. I just love CUDA. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 221403 Siraj Raval
TensorFlow Tutorial #20 Natural Language Processing
 
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How to process human language in a Recurrent Neural Network (LSTM / GRU) in TensorFlow and Keras. Demonstrated on Sentiment Analysis of the IMDB dataset. https://github.com/Hvass-Labs/TensorFlow-Tutorials
Views: 24801 Hvass Laboratories
17.11: Sound Visualization: Frequency Analysis with FFT - p5.js Sound Tutorial
 
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In this "p5.js Sound Tutorial" video, I use the p5.FFT object to analyze the frequencies (spectrum array) of a sound file. I create a "graphic equalizer" like visualization. Support this channel on Patreon: https://patreon.com/codingtrain Send me your questions and coding challenges! Contact: https://twitter.com/shiffman p5.js sound library reference: https://p5js.org/reference/#/libraries/p5.sound p5.FFT object reference: https://p5js.org/reference/#/p5.FFT Kristian Pedersen's this.dot song: https://soundcloud.com/kristianpedersen/this-dot-feat-daniel-shiffman Source Code for the Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Sound in p5.js videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aFcVjlDAkkGIixw70s7jpW Help us caption & translate this video! http://amara.org/v/YIOn/
Views: 111191 The Coding Train
Python Tutorial for Beginners [Full Course] 2019
 
06:14:07
Watch this Python tutorial to learn Python programming for machine learning and web development. 🔥Get My Complete Python Programming Course with a 90% Discount (LIMITED to the first 200 students): https://goo.gl/P64rZ8 📕Get My FREE Python Cheat Sheet: http://bit.ly/2Gp80s6 👍Subscribe for more Python tutorials like this: https://goo.gl/6PYaGF #Python, #MachineLearning, #WebDevelopment 🔗Supplementary Materials (Spreadsheet): https://goo.gl/x77mLc 📔Python Exercises for Beginners https://goo.gl/1XnQB1 ⭐My Favorite Python Books - Python Crash Course: https://amzn.to/2GqMdjG - Automate the Boring Stuff with Python: https://amzn.to/2N71d6S - A Smarter Way to Learn Python: https://amzn.to/2UZa6lE - Machine Learning for Absolute Beginners: https://amzn.to/2Gs0koL - Hands-on Machine Learning with scikit-learn and TensorFlow: https://amzn.to/2IdUuJy TABLE OF CONTENT 00:00:00 Introduction 00:01:49 Installing Python 3 00:06:10 Your First Python Program 00:08:11 How Python Code Gets Executed 00:11:24 How Long It Takes To Learn Python 00:13:03 Variables 00:18:21 Receiving Input 00:22:16 Python Cheat Sheet 00:22:46 Type Conversion 00:29:31 Strings 00:37:36 Formatted Strings 00:40:50 String Methods 00:48:33 Arithmetic Operations 00:51:33 Operator Precedence 00:55:04 Math Functions 00:58:17 If Statements 01:06:32 Logical Operators 01:11:25 Comparison Operators 01:16:17 Weight Converter Program 01:20:43 While Loops 01:24:07 Building a Guessing Game 01:30:51 Building the Car Game 01:41:48 For Loops 01:47:46 Nested Loops 01:55:50 Lists 02:01:45 2D Lists 02:05:11 My Complete Python Course 02:06:00 List Methods 02:13:25 Tuples 02:15:34 Unpacking 02:18:21 Dictionaries 02:26:21 Emoji Converter 02:30:31 Functions 02:35:21 Parameters 02:39:24 Keyword Arguments 02:44:45 Return Statement 02:48:55 Creating a Reusable Function 02:53:42 Exceptions 02:59:14 Comments 03:01:46 Classes 03:07:46 Constructors 03:14:41 Inheritance 03:19:33 Modules 03:30:12 Packages 03:36:22 Generating Random Values 03:44:37 Working with Directories 03:50:47 Pypi and Pip 03:55:34 Project 1: Automation with Python 04:10:22 Project 2: Machine Learning with Python 04:58:37 Project 3: Building a Website with Django Stay in Touch: https://www.facebook.com/programmingwithmosh/ https://twitter.com/moshhamedani http://programmingwithmosh.com
Views: 3071090 Programming with Mosh
How to Do Sentiment Analysis - Intro to Deep Learning #3
 
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In this video, we'll use machine learning to help classify emotions! The example we'll use is classifying a movie review as either positive or negative via TF Learn in 20 lines of Python. Coding Challenge for this video: https://github.com/llSourcell/How_to_do_Sentiment_Analysis Ludo's winning code: https://github.com/ludobouan/pure-numpy-feedfowardNN See Jie Xun's runner up code: https://github.com/jiexunsee/Neural-Network-with-Python Tutorial on setting up an AMI using AWS: http://www.bitfusion.io/2016/05/09/easy-tensorflow-model-training-aws/ More learning resources: http://deeplearning.net/tutorial/lstm.html https://www.quora.com/How-is-deep-learning-used-in-sentiment-analysis https://gab41.lab41.org/deep-learning-sentiment-one-character-at-a-t-i-m-e-6cd96e4f780d#.nme2qmtll http://k8si.github.io/2016/01/28/lstm-networks-for-sentiment-analysis-on-tweets.html https://www.kaggle.com/c/word2vec-nlp-tutorial Please Subscribe! And like. And comment. That's what keeps me going. Join us in our Slack channel: wizards.herokuapp.com If you're wondering, I used style transfer via machine learning to add the fire effect to myself during the rap part. Please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 151381 Siraj Raval
Python Tutorial: CSV Module - How to Read, Parse, and Write CSV Files
 
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In this Python Programming Tutorial, we will be learning how to work with csv files using the csv module. We will learn how to read, parse, and write to csv files. CSV stands for "Comma-Separated Values". It is a common format for storing information. Knowing how to read, parse, and write this information to files will open the door to working with a lot of data throughout the world. Let's get started. The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-CSV ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 284732 Corey Schafer
Coding With Python :: Learn API Basics to Grab Data with Python
 
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Coding With Python :: Learn API Basics to Grab Data with Python This is a basic introduction to using APIs. APIs are the "glue" that keep a lot of web applications running and thriving. Without APIs much of the internet services you love might not even exist! APIs are easy way to connect with other websites & web services to use their data to make your site or application even better. This simple tutorial gives you the basics of how you can access this data and use it. If you want to know if a website has an api, just search "Facebook API" or "Twitter API" or "Foursquare API" on google. Some APIs are easy to use (like Locu's API which we use in this video) some are more complicated (Facebook's API is more complicated than Locu's). More about APIs: http://en.wikipedia.org/wiki/Api Code from the video: http://pastebin.com/tFeFvbXp If you want to learn more about using APIs with Django, learn at http://CodingForEntrepreneurs.com for just $25/month. We apply what we learn here into a Django web application in the GeoLocator project. The Try Django Tutorial Series is designed to help you get used to using Django in building a basic landing page (also known as splash page or MVP landing page) so you can collect data from potential users. Collecting this data will prove as verification (or validation) that your project is worth building. Furthermore, we also show you how to implement a Paypal Button so you can also accept payments. Django is awesome and very simple to get started. Step-by-step tutorials are to help you understand the workflow, get you started doing something real, then it is our goal to have you asking questions... "Why did I do X?" or "How would I do Y?" These are questions you wouldn't know to ask otherwise. Questions, after all, lead to answers. View all my videos: http://bit.ly/1a4Ienh Get Free Stuff with our Newsletter: http://eepurl.com/NmMcr The Coding For Entrepreneurs newsletter and get free deals on premium Django tutorial classes, coding for entrepreneurs courses, web hosting, marketing, and more. Oh yeah, it's free: A few ways to learn: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (40k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 464010 CodingEntrepreneurs
Data Mining Free Videos Source Code Matlab
 
00:47
http://matlabhome.ir/ Data Mining Free Videos Source Code Matlab 3.1 Pre-processing 3.2 Data mining 3.3 Results validation 4 Standards 5 Notable uses 5.1 Games 5.2 Business 5.3 Science and engineering 5.4 Human rights 5.5 Medical data mining 5.6 Spatial data mining 5.7 Temporal data mining 5.8 Sensor data mining 5.9 Visual data mining 5.10 Music data mining 5.11 Surveillance 5.12 Pattern mining 5.13 Subject-based data mining 5.14 Knowledge grid 6 Privacy concerns and ethics 6.1 Situation in Europe 6.2 Situation in the United States 7 Copyright Law 7.1 Situation in Europe 7.2 Situation in the United States 8 Software 8.1 Free open-source data mining software and applications 8.2 Commercial data-mining software and applications 8.3 Marketplace surveys 9 See also 10 References 11 Further reading 12 External links Classes Clusters Associations Sequential patternsArtificial neural networksGenetic algorithms Decision tree Nearest neighbor method Rule induction Data visualization Data Mining Crucial Concepts in Data Mining Data Warehousing On-Line Analytic Processing (OLAP) Exploratory Data Analysis (EDA) and Data Mining Techniques EDA vs. Hypothesis Testing Computational EDA Techniques Graphical (data visualization) EDA techniques Verification of results of EDA Neural Networks Languages ++ C - Sell clustering using SOM neural network and sales in K-means clustering software project MATLAB - Sell fire detection using neural networks and image segmentation by clustering algorithm K -means with the software MATLAB - Sell software Games sorting gates Flash - Sell C mean clustering algorithm (Fuzzy C-Means) for image processing software, MA - Sell K- means clustering algorithm means for image processing software with MATLAB - Sell car game software clustering software in MATLAB - yet sales edge detection project with Robert, Sobel and Gradient software MATLAB - still selling elevator project ++ C language - still selling multi-objective optimization project with genetic algorithm (MOGA) with the software MATLAB - project sales still image compression using DCT with MATLAB Sell FCM and HCM clustering method with the software MATLAB - Sell pieces and brain image with Kmeans clustering and EM software MATLAB - Sell part of the picture with Kmeans clustering software
Views: 1543 Free Matlab
Supporting IAsyncEnumerable with LINQ
 
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Asyncronous Streams feature document https://github.com/dotnet/roslyn/blob/master/docs/features/async-streams.md Reactive Extensions and System.Linq.Async on GitHub https://github.com/dotnet/reactive System.Linq.Async on NuGet https://www.nuget.org/packages/System.Linq.Async With IAsyncEnumerable being introduced in .NET Core 3, it's not surprising that developers might want to leverage their existing knowledge of Linq operations when working with async streams. In this episode, Bart De Smet comes on to talk about the System.Linq.Async nuget package that adds some common Linq query operators to IAsyncEnumerable. [01:15] - What's the history behind IAsyncEnumerable? [02:17] - How does the new IAsyncEnumerable compare to the previous? [03:39] - Can IAsyncEnumerable scale to large systems? [06:15 ] - How do the ways we partition work with IAsyncEnumerable differ from IEnumerable? [08:34] - What can we make use of IAsyncEnumerable? (Demo) [13:03] - How can we add support for common Linq expressions to IAsyncEnumerable? [16:11] - How do filtering and ordering operations work with IAsyncEnumerable? [20:00] - How important was community support to the longevity of this project? [21:55] - How have the language features made code much simpler?
Views: 3608 Microsoft Developer
Intro to Machine Learning with R & caret
 
01:42:33
Lecture starts at 3:00 The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s huge collection of open source machine learning algorithms. If you are a data scientist working with R, the caret package (short for [C]lassification [A]nd [RE]gression [T]raining) is a must-have tool in your toolbelt. The caret package provides capabilities that are ubiquitous in all stages of the data science project lifecycle. Most important of all, caret provides a common interface for training, tuning, and evaluating more than 200 machine learning algorithms. Not surprisingly, caret is a sure fire way to accelerate your velocity as a data scientist! In this presentation Dave Langer will provide an introduction to the caret package. The focus of the presentation will be using caret to implement some of the most common tasks of the data science project lifecycle and to illustrate incorporating caret into your daily work. Attendees will learn how to: • Create stratified random samples of data useful for training machine learning models. • Train machine learning models using caret’s common interface. • Leverage caret’s powerful features for cross-validation and hyperparameter tuning. • Scale caret via use of multi-core, parallel training. • Increase their knowledge of caret’s many features. R code and accompanying dataset: https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Machine%20Learning%20with%20R%20and%20Caret caret website: http://topepo.github.io/caret/index.html Learn more about David here: https://www.meetup.com/data-science-dojo/events/239730653/ -- Learn more about Data Science Dojo here: https://hubs.ly/H0hz9yY0 Watch the latest video tutorials here: https://hubs.ly/H0hz9fB0 See what our past attendees are saying here: https://hubs.ly/H0hz9Bn0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 800 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 47525 Data Science Dojo
Edward Bullen: Building a ChatBot with Python, NLTK and scikit | PyData London 2017
 
01:31:09
Filmed at PyData 2017 Introducing the basics of Natural Language Processing using Python NLTK and Machine Learning packages to classify language in order to create a simple Q&A bot. Working code samples and a basic ChatBot framework (written in Python) will be provided and explained so that a simple Q&A bot that learns from previous experience and responds to questions with appropriate answers can be created. In this talk we will cover: Build a basic ChatBot Framework using core Python and a SQL database. Demonstrate and experiment with a Learning-by-Example bot using ranking functions in Python and SQL to get some basic chat functionality working. Introduce the Python NLTK to extract features from the chat sentences and words stored in the chatbot database. Work through a feature engineering example using NLTK and Sci-Kit and Numpy to show how we can classify sentences using Supervised Learning and estimate the accuracy of our classification model. Apply the sentence classification ML model to our chatbot engine to target responses more accurately. Prerequisites Attendees will need: + Anaconda for Python 3.5 or 3.6 + NLTK (Python Natural Language Toolkit - pip install nltk) + The Stanford Java CoreNLP Parser (https://stanfordnlp.github.io/CoreNLP/ or wget http://nlp.stanford.edu/software/stanford-corenlp-full-2016-10-31.zip and un-zip) + Java rel 8 Theoretically all of this could be installed on the day but it would just help to save time by preparing in advance. Most of what I am demonstrating will probably work against Python 2.7, but it hasn’t been tested with 2.7. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 44717 PyData
Learn Python - Full Course for Beginners [Tutorial]
 
04:26:52
This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you'll be a python programmer in no time! ⭐️ Contents ⭐ ⌨️ (0:00) Introduction ⌨️ (1:45) Installing Python & PyCharm ⌨️ (6:40) Setup & Hello World ⌨️ (10:23) Drawing a Shape ⌨️ (15:06) Variables & Data Types ⌨️ (27:03) Working With Strings ⌨️ (38:18) Working With Numbers ⌨️ (48:26) Getting Input From Users ⌨️ (52:37) Building a Basic Calculator ⌨️ (58:27) Mad Libs Game ⌨️ (1:03:10) Lists ⌨️ (1:10:44) List Functions ⌨️ (1:18:57) Tuples ⌨️ (1:24:15) Functions ⌨️ (1:34:11) Return Statement ⌨️ (1:40:06) If Statements ⌨️ (1:54:07) If Statements & Comparisons ⌨️ (2:00:37) Building a better Calculator ⌨️ (2:07:17) Dictionaries ⌨️ (2:14:13) While Loop ⌨️ (2:20:21) Building a Guessing Game ⌨️ (2:32:44) For Loops ⌨️ (2:41:20) Exponent Function ⌨️ (2:47:13) 2D Lists & Nested Loops ⌨️ (2:52:41) Building a Translator ⌨️ (3:00:18) Comments ⌨️ (3:04:17) Try / Except ⌨️ (3:12:41) Reading Files ⌨️ (3:21:26) Writing to Files ⌨️ (3:28:13) Modules & Pip ⌨️ (3:43:56) Classes & Objects ⌨️ (3:57:37) Building a Multiple Choice Quiz ⌨️ (4:08:28) Object Functions ⌨️ (4:12:37) Inheritance ⌨️ (4:20:43) Python Interpreter Course developed by Mike Dane. Check out his YouTube channel for more great programming courses: https://www.youtube.com/channel/UCvmINlrza7JHB1zkIOuXEbw 🐦Follow Mike on Twitter - https://twitter.com/mike_dane 🔗If you liked this video, Mike accepts donations on his website: https://www.mikedane.com/contribute/ ⭐️Other full courses by Mike Dane on our channel ⭐️ 💻C: https://youtu.be/KJgsSFOSQv0 💻C++: https://youtu.be/vLnPwxZdW4Y 💻SQL: https://youtu.be/HXV3zeQKqGY 💻Ruby: https://youtu.be/t_ispmWmdjY 💻PHP: https://youtu.be/OK_JCtrrv-c 💻C#: https://youtu.be/GhQdlIFylQ8 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
Views: 7364194 freeCodeCamp.org
Why Choose R Over Other Programming Languages? - Dexlab Analytics
 
00:34
R is a language used for statistical computations, data analysis and graphical representation of data and here’s what makes it so alluring… For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/+Dexlabanalyticsbigdata - Facebook : https://www.facebook.com/dexlabanalytics/ - Twitter: https://twitter.com/Dexlabanalytics - LinkedIn: https://www.linkedin.com/company/dexlab-analytics
Views: 976 Dexlab Analytics
Android Tutorial | Learn Android Development
 
07:14:53
The Android operating system is changing our lives in so many ways and also enabled enterprises to develop into big names in the IT business. It has the biggest database of users around the world and the numbers are only increasing. With the boom of mobile devices, the android app market has grown majorly, with the addition of new and innovative apps regularly. Learn everything you need to know to get started building Android apps with the Android Studio IDE. You will learn to set up your Android SDK and begin developing by incorporating UI, buttons, intents etc .This course is designed around the basics and once you complete the course, you will easily be able to create a brilliant Android app. The curriculum includes Installation, Activities, Layouts, List Views, SQLite and Services Multimedia . 00:00:00 0 # Course Introduction 00:01:32 1 # Introduction and Installing and Configuring Java JDK 00:09:10 2 # How to install Android Studio 00:17:46 3 # Building Your First Android App (Hello World Example) 00:32:42 4 # Basic Overview of an Android App 00:44:47 5 # Android Activity Lifecycle 00:52:28 6 # Android Activity Lifecycle State change Example 01:01:53 7 # Adding Two Numbers App (Simple Calculator) 01:16:27 8 # wrap_content, fill_parent, Password Field and Toast in Android 01:29:08 9 # Android Checkbox Basics and Example 01:43:45 10 # Android RadioButton Basics With Example 01:55:01 11 # Android RatingBar Basics 02:05:08 12 # Android Alert Dialog Example 02:18:01 13 # How to Start New Activity On Button Click via Intent 02:30:14 14 # Android Analogclock And Digitalclock Example 02:37:14 15 # Android Login Screen Example Part 1 02:50:23 16 # Android Login Screen Example Part 2 03:05:14 17 # Android ImageView example 03:20:02 18 # Android ListView 03:31:18 19 # SeekBar 03:41:29 20 # Android WebView Example 03:51:10 21 # Android Gestures (Using Touch Gestures) 04:05:42 22 # Fragments in Android - Part 1 04:20:28 23 # Fragments in Android - Part 2 04:30:29 24 # Android AutoCompleteTextView Control 04:38:22 25 # Android TimePicker 04:45:48 26 # Android TimePicker Dialog ( TimePickerDialog ) 04:59:23 27 # Android DatePicker Dialog ( DatePickerDialog) 05:13:04 28 # Showing Notifications and using NotificationManager 05:23:24 29 # Action Bar (ActionBar) 05:33:30 30 # Action Bar (ActionBar) # Overflow Menu Items and Icons 05:46:14 31 # Add Up Button for Low-level Activities to Action Bar 05:57:16 32 # Explicit and Implicit Intents in Android 06:08:22 33 # Introduction to Services and Creating Started Service 06:21:18 34 # Service and Thread in Android 06:31:23 35 # Creating Service Using IntentService 06:39:22 36 # Bound Services 06:54:32 37 # Applying Styles on Components 07:00:45 38 # Style inheritance in Android 07:04:44 39 # How to Save a File on Internal Storage ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science - http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning - http://bit.ly/2J2xex1 Artificial Intelligence - http://bit.ly/2AeIHUR | http://bit.ly/2PCCBEb Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 92717 ProgrammingKnowledge
C++ Tutorial | Learn C++ programming | Full C++ Programming Course
 
07:28:30
C++ is general purpose, compiled, object-oriented programming language and its concepts served as the basis for several other languages such as Java, Python, Ruby, Perl etc. The goal of this course is to provide you with a working knowledge of C++. We'll start with the basics, including syntax, operators, loops, and functions. This Course will explain you how to use data structures and create your own Functions. This Course will show you the details of the powerful object and template systems so you can create useful classes and objects. 00:00:01 1 - Installing CodeBlocks and Getting Started (For Absolute Beginners) 00:13:52 2 - Understanding C++ Program Structure 00:28:09 3 - Understanding Variables 00:39:14 4 - Basic Calculator 00:49:00 5 - Understanding Basic Arithmetic 00:53:29 6 - If and Else Statements 01:03:43 7 - Switch Statement 01:13:24 8 - Using 'For Loop' 01:21:33 9 - Increment , Decrement and Assignment Operators 01:28:34 10 - While Loops 01:36:42 11 - Do While Loops 01:44:06 12 - Functions in C++ 01:52:51 13 - Passing Parameters and Arguments in Function 02:01:47 14 - Return Values in Functions 02:11:11 15 - Default Function Parameter 02:17:28 16 - Variable Scope and Unary Scope Resolution Operator 02:25:22 17 - Function Overloading 02:32:47 18 - Arrays in C++ 02:40:41 19 - Getting the sum of values in an array 02:44:55 20 - Multidimensional Arrays 02:53:51 21 - Pointers in C++ 03:02:05 22 - Pass by Reference / Value in C++ 03:08:17 23 - Data structures or struct (C++) 03:18:34 24 - How to pass a structure to a function in C++ 03:24:09 25 - Introduction to C++ Classes and Objects 03:33:33 26 - Setter/Getter functions in C++ 03:41:59 27 - Introduction To Constructors in C++ 03:52:45 28 - Destructors in C++ 03:59:51 29 - Placing Classes in Separate Files in C++ 04:18:10 30 - Arrow Member Selection Operator and Pointers to classes 04:27:39 31 - Operator Overloading in C++ 04:43:45 32 - C++ Inheritance 05:01:40 33 - C++ Multiple Inheritance 05:09:35 34 - Friend Class in C++ 05:18:13 35 - Introduction to Polymorphism in C++ 05:32:51 36 - Virtual Member function & Pure Virtual Functions 05:46:27 37 - C++ Function Templates 05:54:19 38 - C++ Function Templates with Multiple Parameters 05:57:57 39 - Class Templates 06:06:43 40 - Template Specialization in C++ 06:14:46 41 - Create a Text File and Write in It 06:24:54 42 - How to Read from a .txt file using C++ 06:39:59 43 - How to add C++11 support to code::blocks compiler 06:52:00 44 - C++ Vectors 07:10:13 45 - C++ Map ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science - http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning - http://bit.ly/2J2xex1 Artificial Intelligence - http://bit.ly/2AeIHUR | http://bit.ly/2PCCBEb Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ★★★ Follow ★★★ My Website - http://www.codebind.com DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 396324 ProgrammingKnowledge
RTC 3.0:  Context-Aware Search for source code using semantic analysis of related artifacts
 
04:57
Determining where functionality is implemented or what existing code may be relevant for understanding and implementing a work item can be difficult using conventional search technologies. A developer may need to already be highly familiar with existing details such as code organization and naming conventions to be able to use regular expression and other wild-card style searches effectively. In large projects such searches may not be practical, and the developer instead relies on acquired insight. Context-Aware Search enables searching using natural language rather than exact patterns. This capability allows analysis of a work item for relevant keywords. Using these keywords it then locates source code that may be relevant for the work item.
Views: 1627 Jazz.net
Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka
 
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** Python Data Science Training : https://www.edureka.co/python ** This Edureka Video on Time Series Analysis n Python will give you all the information you need to do Time Series Analysis and Forecasting in Python. Below are the topics covered in this tutorial: 1. Why Time Series? 2. What is Time Series? 3. Components of Time Series 4. When not to use Time Series 5. What is Stationarity? 6. ARIMA Model 7. Demo: Forecast Future Subscribe to our channel to get video updates. Hit the subscribe button above. Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm #timeseries #timeseriespython #machinelearningalgorithms - - - - - - - - - - - - - - - - - About the Course Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR. During our Python Certification Training, our instructors will help you to: 1. Master the basic and advanced concepts of Python 2. Gain insight into the 'Roles' played by a Machine Learning Engineer 3. Automate data analysis using python 4. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 6. Explain Time Series and it’s related concepts 7. Perform Text Mining and Sentimental analysis 8. Gain expertise to handle business in future, living the present 9. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 99119 edureka!
This is what happens when you reply to spam email | James Veitch
 
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Suspicious emails: unclaimed insurance bonds, diamond-encrusted safe deposit boxes, close friends marooned in a foreign country. They pop up in our inboxes, and standard procedure is to delete on sight. But what happens when you reply? Follow along as writer and comedian James Veitch narrates a hilarious, months-long exchange with a spammer who offered to cut him in on a hot deal. Get TED Talks recommended just for you! Learn more at https://www.ted.com/signup. The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
Views: 40350869 TED
Python Tutorial: Working with JSON Data using the json Module
 
20:34
In this Python Programming Tutorial, we will be learning how to work with JSON data. We will learn how to load JSON into Python objects from strings and how to convert Python objects into JSON strings. We will also see how to load JSON from a file and save those Python objects back to files. Let's get started... The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-JSON Python File Objects: https://youtu.be/Uh2ebFW8OYM ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 211405 Corey Schafer
Word2Vec (tutorial)
 
49:25
In this video, we'll use a Game of Thrones dataset to create word vectors. Then we'll map these word vectors out on a graph and use them to tell us related words that we input. We'll learn how to process a dataset from scratch, go over the word vectorization process, and visualization techniques all in one session. Code for this video: https://github.com/llSourcell/word_vectors_game_of_thrones-LIVE Join us in our Slack channel: http://wizards.herokuapp.com/ More learning resources: https://www.tensorflow.org/tutorials/word2vec/ https://radimrehurek.com/gensim/models/word2vec.html https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words http://sebastianruder.com/word-embeddings-1/ http://natureofcode.com/book/chapter-1-vectors/ Please subscribe. And like. And Comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 76322 Siraj Raval
Introduction - Learn Python for Data Science #1
 
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Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install Python and our text editor (Sublime Text), then build a gender classifier using the sci-kit learn library in just about 10 lines of code. Please subscribe & share this video if you liked it! The code for this video is here: https://github.com/llSourcell/gender_classification_challenge I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Download Python here: https://www.python.org/downloads/ Download Sublime Text here: https://www.sublimetext.com/3 Some Great simple sci-kit learn examples here: https://github.com/chribsen/simple-machine-learning-examples and the official scikit website: http://scikit-learn.org/ Highly recommend this online book as supplementary reading material: https://learnpythonthehardway.org/book/ Wondering when to use which model? This chart helps, but keep in mind deep neural nets outperform pretty much any model given enough data and computing power. so use these when you don't have access to loads of data and compute: http://scikit-learn.org/stable/tutorial/machine_learning_map/ Thank you guys for watching! Subscribe, like, and comment! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 537107 Siraj Raval
Import Data, Copy Data from Excel to R CSV & TXT Files | R Tutorial 1.5 |MarinStatsLectures
 
06:59
Import Data, Copy Data from Excel (or other spreadsheets) to R: CSV & TXT Files with Free Practice Dataset: (https://bit.ly/2rOfgEJ) Need More Statistics and R Programming Tutorials? (https://bit.ly/2Fhu9XU) How to Import CSV data into R or How to Import TXT files into R from Excel or other spreadsheets using function in R ►How to import CSV data into R? We will be using "read.table" function to import comma separated data into R ► How to import txt data file into R? You will learn to use "read.delim" function to import the tab-delimited text file into R ► You will also learn to use "file.choose" argument for file location, "header" argument to let R know the data has headers or variable names and "sep" argument to let R know how the data values are separated. ►►Download the dataset here: https://statslectures.com/r-scripts-datasets ►►Like to support us? You can Donate https://bit.ly/2CWxnP2 or Share the Videos! ►► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►R Tutorials for Data Science https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA series https://bit.ly/2zBwjgL ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ►Puppet Master of Statistics: https://bit.ly/2RDAAv4 ►Hypothesis Testing: Concepts in Statistics https://bit.ly/2Ff3J9e ◼︎ Table of Content 0:00:17 What are the two main file types for saving a data file (CSV and TXT) 0:00:36 How to save an Excel file as a CSV file (comma-separated value) 0:01:10 How to open a CSV data file in Excel 0:01:20 How to open a CSV file in a text editor 0:01:36 How to import CSV file into R? using read.csv function 0:01:44 How to access the help menu for different commands/functions in R 0:02:04 How to specify file location for R? using file.choose argument on read.csv function 0:02:31 How to let R know our data has headers or variable names when importing the data into R? By using the “header” argument on read.csv function 0:03:22 How to import CSV file into R? using read.table function 0:03:38 How to specify the file location for the read.table function in R? using file.choose argument 0:03:46 How to specify how variables/columns are separated when importing data into R? the "sep" argument on read.table function will do that; for example if you don't specify that your data is comma separated, R ends up reading it all in as one variable 0:04:10 How to save a file in Excel as tab-delimited text (TXT) file 0:04:50 How to open a tab-delimited (.TXT) data file in a text editor 0:05:07 How to open a tab-delimited (.TXT) data file in excel 0:05:20 How to import tab-delimited (.TXT) data file into R? using read.delim function 0:05:44 How to specify the file path for read.delim function in R? using file.choose argument 0:06:06 How to import tab-delimited (.TXT) data file into R? using read.table function 0:06:23 How to specify that the data has headers or variable names when importing the data into R? using header argument on read.table function This video is a tutorial for programming in R Statistical Software for beginners, using RStudio. Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
How to Set Up Java Development in Visual Studio Code on Windows | vsCode Java Development Basics
 
15:29
In this video I am going to show How to Set Up Python Development environment in Visual Studio Code in windows 10. I am also going to show ow to debug your Python code using vs code. This process will also cover How to Install Python and Visual Studio Code for Windows 10. Java JDK - https://www.oracle.com/technetwork/java/javase/downloads/jdk12-downloads-5295953.html Visual Studio Code - https://visualstudio.microsoft.com/ Java in Visual Studio Code - https://code.visualstudio.com/docs/languages/java This Java Tutorial course is aimed at complete beginners to the subject. For those who have no programming experience or those who have limited knowledge of Java. We get you up and running and will give you the skills you need to master the Java programming language. #ProgrammingKnowledge #Java #VSCode ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science - http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning - http://bit.ly/2J2xex1 Artificial Intelligence - http://bit.ly/2AeIHUR | http://bit.ly/2PCCBEb Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ★★★ Follow ★★★ My Website - http://www.codebind.com DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 3322 ProgrammingKnowledge
Learn Objective C Tutorial For Beginners - Ep 11 - SWITCH Statements
 
04:48
Get a customized roadmap for your app and start building it in 7 days: ⚡ http://codewithchris.com/actionplan Learning Objective C doesn't have to be hard! In these tutorials, you will learn Objective C programming syntax, classes and software design patterns so that you can program iOS apps. The goal is to get apps submitted into the Apple App Store and to have fun doing it! I will teach you the basics of using XCode, architecting iPhone and iPad applications, designing the user interface, coding it in Objective C, all the way to monetizing it and putting it into the Apple App Store. Combined with the Learn XCode 4 Tutorial series, you'll be making iPhone apps in no time! In this video, we continue to learn about a different way to write conditional logic using SWITCH statements in Objective-C. Source Code for this video: http://codewithchris.com/source-code/ For the all the episodes in this Learn Objective C Tutorial For Beginners series, visit the playlist: http://www.youtube.com/playlist?list=PLMRqhzcHGw1YfS92iytSJCjt01FxPF9rr For more XCode and Objective C Tutorials, visit my channel: http://www.youtube.com/user/CodeWithChris WEBSITE: http://codewithchris.com FACEBOOK: http://facebook.com/codewithchris TWITTER: https://twitter.com/chriswching My channel, CodeWIthChris, is about all the aspects of building iOS apps. I'll post video tutorials on Objective C, XCode, how to submit apps to the Apple App Store, and tutorials on building various types of apps or integrating things like analytics, advertisements etc. You might even find the odd app review here or there! Fun fact from: http://www.perfectfittech.com/blogs/news/6963438-15-facts-about-apple-s-legendary-iphone Intro & Outro music "deche ok" by Gablé (http://www.gableboulga.com/)
Views: 4648 CodeWithChris
Learn Objective C Tutorial For Beginners - Episode 5 - Memory Management
 
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Get a customized roadmap for your app and start building it in 7 days: ⚡ http://codewithchris.com/actionplan Learn Objective C Tutorial For Beginners is a series that introduces the Objective C programming language and teaches you how to write code to build iPhone apps. Learning Objective C doesn't have to be hard! In these tutorials, you will learn Objective C programming syntax, classes and software design patterns so that you can program iOS apps. Combined with the Learn XCode 4 Tutorial series, you'll be making iPhone apps in no time! In this episode, we talk about how Objective-C handles memory management! Source Code for this video: http://codewithchris.com/source-code/ For the all the episodes in this Learn Objective C Tutorial For Beginners series, visit the playlist: http://www.youtube.com/playlist?list=PLMRqhzcHGw1YfS92iytSJCjt01FxPF9rr For more XCode and Objective C Tutorials, visit my channel: http://www.youtube.com/user/CodeWithChris WEBSITE: http://codewithchris.com TWITTER: https://twitter.com/chriswching My channel, CodeWIthChris, is about all the aspects of building iOS apps. I'll post video tutorials on Objective C, XCode, how to submit apps to the Apple App Store, and tutorials on building various types of apps or integrating things like analytics, advertisements etc. You might even find the odd app review here or there! If you want to see more ObjectiveC and XCode Video Tutorials, please SUBSCRIBE so that you don't miss an episode and remember to LIKE and COMMENT if you have questions. Intro & Outro music "deche ok" by Gablé (http://www.gableboulga.com/)
Views: 11086 CodeWithChris
Full JavaFx Programming Course | JavaFx Tutorial for Beginners | Learn JavaFx
 
05:32:42
The JavaFX is a new framework intended to support desktop applications and web browsers. It is generally a java platform for creating rich internet applications that can run on a large variety of devices. Since this is a framework for Java, the code written is not machine dependent. The current release provides support for desktop applications. The goal of this course is to provide you with a working knowledge of JavaFx GUI applications. We'll start with the basics, starting from installing JavaFx on variety of IDE's e.g. Eclipse, IntelliJ Idea, Netbeans etc on different Operating Systems like Window, Mac and Linux. Next, We will learn how to create our first JavaFx project. Then we will Learn How to built-in use different JavaFX UI controls like Label, Button, Radio Button, Toggle Button, Checkbox, Choice Box, Text Field, Password Field, Scroll Bar, Scroll Pane, List View, Table View, Tree View, Tree Table View, Combo Box, Separator, Slider, Progress Bar and Progress Indicator, Hyperlink, Tooltip, HTML Editor, Titled Pane and Accordion, Menu, Color Picker, Date Picker, File Chooser. In the later half of the video I will also show , How sqlite database can be used with JavaFx. So Let's get started !!! 00:00:01 1 - Introduction To JavaFx 00:05:53 2 - Download and install JavaFX for Eclipse 00:15:17 3 - How to Create Your First JavaFX Application 00:21:48 4 - How to Use Lambda Expressions to Handle Events 00:27:34 5 - Installing JavaFX Scene Builder 00:37:30 6 - Events with JavaFX Scene Builder 00:53:02 7 - Styling with CSS in JavaFX 01:01:38 8 - How to build a Calculator in JavaFX Part-1 01:16:01 9 - How to build a Calculator in JavaFX Part-2 01:30:41 10 - Create Login Application 01:44:19 11 - Use ImageView To display Image in JavaFx 01:53:23 12 - JavaFX ComboBox 02:04:14 13 - JavaFX ListView 02:12:28 14 - JavaFX TreeView 02:22:28 15 - JavaFx TreeView Events 02:28:14 16 - JavaFX FileChooser 02:39:52 17 - JavaFX Properties 02:56:29 18 - JavaFX Binding, ProgressBar and ProgressIndicator 03:06:52 19 - JavaFX Bidirectional Binding and using Slider 03:13:31 20 - JavaFx Menu, MenuBar , MenuItem and SeparatorMenuItem 03:23:32 21 - JavaFx CheckBox 03:34:29 22 - JavaFx RadioButton 03:45:22 23 - JavaFX TableView 04:01:02 24 - JavaFX DatePicker 04:07:20 25 - JavaFX WebView 04:17:53 26 - JavaFX Charts : Pie Chart 04:29:10 27 - Event Handler for a Pie Chart 04:36:10 28 - JavaFX Charts : Line Chart 04:47:54 29 - Adding multiple Lines to LineChart 04:51:19 30 - Event Handler for a Line Chart 05:00:33 31 - Creating Media Player in JavaFX 05:15:31 32 - Adding Play, Pause, Start, Fast, Slow Buttons to Media Player 05:26:22 33 - Adding Volume Slider to MediaPlayer ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science - http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning - http://bit.ly/2J2xex1 Artificial Intelligence - http://bit.ly/2AeIHUR | http://bit.ly/2PCCBEb Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
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OpenCV Python Tutorial For Beginners 21 - Image Pyramids with Python and OpenCV
 
20:41
In this video on OpenCV Python Tutorial For Beginners, I am going to show How to use Image Pyramids with Python and OpenCV. There are two kinds of Image Pyramids. 1) Gaussian Pyramid and 2) Laplacian Pyramids Gaussian pyramids use cv.pyrDown() and cv.pyrUp() functions. Gist of code I used in this video (OpenCV: Image Pyramids Tutorial ) - https://gist.github.com/pknowledge/26bc99d96a7203081fdd9e2833933124 OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python. it is Open Source and free. opencv is easy to use and install. Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV. At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science. Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. #ProgrammingKnowledge #ComputerVision #OpenCV ★★★Top Online Courses From ProgrammingKnowledge ★★★ Python Programming Course ➡️ http://bit.ly/2vsuMaS ⚫️ http://bit.ly/2GOaeQB Java Programming Course ➡️ http://bit.ly/2GEfQMf ⚫️ http://bit.ly/2Vvjy4a Bash Shell Scripting Course ➡️ http://bit.ly/2DBVF0C ⚫️ http://bit.ly/2UM06vF Linux Command Line Tutorials ➡️ http://bit.ly/2IXuil0 ⚫️ http://bit.ly/2IXukt8 C Programming Course ➡️ http://bit.ly/2GQCiD1 ⚫️ http://bit.ly/2ZGN6ej C++ Programming Course ➡️ http://bit.ly/2V4oEVJ ⚫️ http://bit.ly/2XMvqMs PHP Programming Course ➡️ http://bit.ly/2XP71WH ⚫️ http://bit.ly/2vs3od6 Android Development Course ➡️ http://bit.ly/2UHih5H ⚫️ http://bit.ly/2IMhVci C# Programming Course ➡️ http://bit.ly/2Vr7HEl ⚫️ http://bit.ly/2W6RXTU JavaFx Programming Course ➡️ http://bit.ly/2XMvZWA ⚫️ http://bit.ly/2V2CoAi NodeJs Programming Course ➡️ http://bit.ly/2GPg7gA ⚫️ http://bit.ly/2GQYTQ2 Jenkins Course For Developers and DevOps ➡️ http://bit.ly/2Wd4l4W ⚫️ http://bit.ly/2J1B1ug Scala Programming Tutorial Course ➡️ http://bit.ly/2PysyA4 ⚫️ http://bit.ly/2PCaVj2 Bootstrap Responsive Web Design Tutorial ➡️ http://bit.ly/2DFQ2yC ⚫️ http://bit.ly/2VoJWwH MongoDB Tutorial Course ➡️ http://bit.ly/2LaCJfP ⚫️ http://bit.ly/2WaI7Ap QT C++ GUI Tutorial For Beginners ➡️ http://bit.ly/2vwqHSZ ★★★ Online Courses to learn ★★★ Data Science - http://bit.ly/2BB3PV8 | http://bit.ly/2IOrpni Machine Learning - http://bit.ly/2J2xex1 Artificial Intelligence - http://bit.ly/2AeIHUR | http://bit.ly/2PCCBEb Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ★★★ Follow ★★★ My Website - http://www.codebind.com DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
Views: 2482 ProgrammingKnowledge