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RxJS, ggplot2, Python Data Persistence, Caffe2, PyBrain, Python Data Access, H2O, Colab, Theano, Flutter, KNime, Mean.js, Weka, Solidity

RxJS, ggplot2, Python Data Persistence, Caffe2, PyBrain, Python Data Access, H2O, Colab, Theano, Flutter, KNime, Mean.js, Weka, Solidity
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How To Improve Your Programming Skills Using Exercism Short Bytes: After learning the basics of coding, one needs to improve his/her skills to master a language. To help you out in this important process, Exercism.io, an open source tool, has been created. It helps you with its hundreds of practice exercises in 30+ programming languages. While some people might claim that learning programming isn’t tough, there are others who find it hard to master the skills. In the past, to help you out, we introduced you to awesome and fun coding resources like Hyperpolyglot, CodinGame, StackOverflow Documentation, and SyntaxDB. Exercism is regularly updated with new practice problems. This free online tool to learn programming comes with hundreds of practice problems for more than 30 programming languages. Learning and improve programming from the scratch For a person with not-so-much technical experience, the first encounter with a programming language could be dreadful. Experienced programmer? Learn how to write clean code

Welcome · Programming Basics with C# - Free Coding Book with Video Lessons The Python Tutorial — Python 3.8.7rc1 documentation Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python web site, and may be freely distributed. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. For a description of standard objects and modules, see The Python Standard Library. The Glossary is also worth going through.

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