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python hits 2nd place

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 Python moves into second place on GitHub's list of top programming languages and Dart tops the list of fastest-growing languages.



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Python bests Java for number 2 spot on GitHub's list of most popular languages

by in Developer  on November 7, 2019, 2:49 PM PST

Python moves into second place on GitHub's list of top programming languages and Dart tops the list of fastest-growing languages.

Python surpassed Java, PHP, C#, C++, and others to become the second most popular programming language, according to GitHub's annual "The State of the Octoverse" report.

GitHub, which is owned by Microsoft, noted that over the past year, "developers collaborated in more than 370 primary languages" on the platform. GitHub ranked each language by the number of unique contributors to repositories (public and private) tagged with a primary language. While JavaScript still tops the 2019 list, Python moved from 4th to 3rd in 2015 and 3rd to 2nd this year. GitHub attributed Python's rise in popularity to the growth of "core data science packages power by Python."

octoverse19-top-lang-over-time.png

GitHub Octoverse: Top languages

  1. JavaScript
  2. Python
  3. Java
  4. PHP
  5. C#
  6. C++
  7. TypeScript
  8. Shell
  9. C
  10. Ruby

GitHub's Octoverse report isn't the only survey that shows the recent popularity growth of Python...a 20-year-old programming language. As of October 2019, it ranks first on the PYPL PopularitY of Programming Language Index, which tracks popularity based on Google searches for language tutorials. And according to the 2019 Stack Overflow Developer Survey, Python is the "fastest-growing major language today." Python also ranked second (behind Rust) on Stack Overflow's list of most loved languages and first on the list of most wanted languages.

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SEE: Python is eating the world: How one developer's side project became the hottest programming language on the planet

Google Dart tops GitHub's list of fastest growing languages

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Python bests Java for number 2 spot on GitHub's list of most popular languages

by in Developer  on November 7, 2019, 2:49 PM PST

Python moves into second place on GitHub's list of top programming languages and Dart tops the list of fastest-growing languages.

Python surpassed Java, PHP, C#, C++, and others to become the second most popular programming language, according to GitHub's annual "The State of the Octoverse" report.

GitHub, which is owned by Microsoft, noted that over the past year, "developers collaborated in more than 370 primary languages" on the platform. GitHub ranked each language by the number of unique contributors to repositories (public and private) tagged with a primary language. While JavaScript still tops the 2019 list, Python moved from 4th to 3rd in 2015 and 3rd to 2nd this year. GitHub attributed Python's rise in popularity to the growth of "core data science packages power by Python."

octoverse19-top-lang-over-time.png

GitHub Octoverse: Top languages

  1. JavaScript
  2. Python
  3. Java
  4. PHP
  5. C#
  6. C++
  7. TypeScript
  8. Shell
  9. C
  10. Ruby

GitHub's Octoverse report isn't the only survey that shows the recent popularity growth of Python...a 20-year-old programming language. As of October 2019, it ranks first on the PYPL PopularitY of Programming Language Index, which tracks popularity based on Google searches for language tutorials. And according to the 2019 Stack Overflow Developer Survey, Python is the "fastest-growing major language today." Python also ranked second (behind Rust) on Stack Overflow's list of most loved languages and first on the list of most wanted languages.

Webinar: Visibility and insights for modern application environments

Join Enterprise Strategy Group (ESG), AppDynamics, and Amazon Web Services (AWS) for in-depth guidance on creating impactful migration and application monitoring strategies. Learn how to accelerate and de-risk your move to the cloud while reducing...

Live Event provided by Amazon Web Services

SEE: Python is eating the world: How one developer's side project became the hottest programming language on the planet

Google Dart tops GitHub's list of fastest growing languages

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When it comes to GitHub's list of fastest growing languages, Python makes the top 10, but Dart and Rust take the first and second spots. Dart's top spot on this list is interesting given that the language, developed by Google and first released in 2011, topped Codementor's 2018 list of coding languages developers should avoid learning. One reason for Dart's turn around is likely Google's subsequent release of Flutter, a cross-platform development toolkit which uses Dart. In September 2019, Google announced an update to the Dart SDK and the release of Flutter 1.9. The new Dart SDK included a technical preview of ML Complete, which added AI-powered code completion powered by Google's TensorFlow Lite deep-learning framework.
 

GitHub Octoverse: Fastest growing languages

  1. Dart
  2. Rust
  3. HCL
  4. Kotlin
  5. TypeScript
  6. PowerShell
  7. Apex
  8. Python
  9. Assembly
  10. Go

SEE: Rust programming language: Seven reasons why you should learn it in 2019

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Pytorch

Machine Learning

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PyTorch: A resources guide for developers

by in Developer  on February 10, 2020, 11:46 AM PST

If you want to learn PyTorch, check out these books, courses, tutorials, videos, and websites about the open source machine learning library.

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Must-read Developer content

PyTorch is an open source machine learning library. The name PyTorch is derived from its main programming language, Python, and Torch, the library on which it is based. Since PyTorch's release in 2016, it has grown in popularity with developers due to its ease of use, flexibility, easy debugging, fast speed, and community support. 

Developed by Facebook, PyTorch is similar to Google's TensorFlow in that it runs on tensors, but instead of using static computation graphs like TensorFlow, it utilizes dynamic computation graphs.

If you are interested in learning PyTorch, the following list of resources can help you get started.

SEE: Hiring kit: Python developer (TechRepublic Premium)

Books about PyTorch

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications: This book helps you master PyTorch by showing you how to set up PyTorch on a cloud-based environment.


PyTorch Recipes: A Problem-Solution Approach: If you're ready to jump right into programming, this book is for you. Starting off with an introduction to PyTorch, it moves into more advanced content, using a problem-solution approach.

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Deep Learning with PyTorch Quick Start Guide: Learn to Train and Deploy Neural Network Models in Python: While it's not necessary to have previous experience with PyTorch to enjoy this guide, It will help if you are familiar with Python and machine learning.

Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning: Along with teaching you how to use PyTorch for natural language processing (NLP) and deep learning, this book contains code examples and illustrations for hands-on learning.

Applied Deep Learning with PyTorch: Demystify neural networks with PyTorch: If you are ready to expand your knowledge of deep learning, its algorithms, and its applications, this book will help you accomplish these goals.

PyTorch Deep Learning Hands-On: This fast-paced guide is for machine learning engineers who are ready to put PyTorch to work quickly.

Concepts and Programming in PyTorch: A way to dive into the technicality: For those who want to learn PyTorch through a more practical approach, this book offers detailed, user-friendly instruction.

Deep Learning with PyTorch: This book, which teaches how to use deep learning algorithms with Python and PyTorch, will be available summer 2020. It also explores a case study where an algorithm was created that allowed CT scans to detect malignant lung tumors.

SEE: Python is eating the world: How one developer's side project became the hottest programming language on the planet (cover story PDF) (TechRepublic)

PyTorch courses and tutorials

To help you learn more about it, PyTorch offers documentation and tutorials on its website. The tutorial Deep Learning with PyTorch: A 60-minute Blitz is its most popular starting point.

Microsoft Azure offers PyTorch tutorials for all learning levels.

Paperspace has an excellent five-part series called PyTorch 101.

Tutorials Point offers an in-depth look into PyTorch that is conveniently broken into manageable chapters.

Devglan and Digital Defynd list courses and tutorials (free and paid) for PyTorch.

Disclosure: TechRepublic may earn a commission from some of the products featured on this page. TechRepublic and the author were not compensated for this independent review.

TechRepublic Academy, a joint venture between TechRepublic, ZDNet, and StackCommerce, offers various courses that cover PyTorch, including The Complete Python Data Science Bundle, The Complete 2020 Python Programming Certification Bundle, The Complete Machine Learning A to Z Bundle, and The Ultimate Python Programmer & Data Certification Bundle.

SEE: Facebook's PyTorch 1.1 does the heavy lifting for increasingly gigantic neural networks (ZDNet)

Videos about PyTorch

PyTorch in 5 Minutes: This video shows a brief introduction to PyTorch and how it compares to TensorFlow, then provides a short code script as an example of the language.

PyTorch Tutorial: To learn PyTorch, deep learning, and neural networks, this video from Edureka covers all the basics.

The Complete PyTorch Course: For a more in-depth look at PyTorch, this video offers almost an hour of instruction.

There is a series of lectures on PyTorch that covers the programming language and other aspects of deep learning.

SEE: Microsoft: We want you to learn Python programming language for free (ZDNet)

Websites about PyTorch

When learning PyTorch, go straight to the source with PyTorch.org. The site offers an excellent community forum if you need to post questions or want to assist others.

GitHub has a page specific to PyTorch.

Paperspace offers an introduction to PyTorch and how it compares to TensorFlow and Scikit-Learn.

Sponsored by Fritz AI, Heartbeat is a good resource for PyTorch, as well as machine learning and artificial intelligence (AI).

Towards Data Science, a Medium publication, offers community-based information about PyTorch.

Analytics Vidhya is another community-based website that has many resources to help you sharpen your PyTorch skills.

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Javascript and HTML

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