Programming books:
- Hands-On JavaScript High Performance : Build faster web apps using Node.js, Svelte.js, and WebAssembly (28 Feb 2020)
- Clean Code in JavaScript : Develop reliable, maintainable, and robust JavaScript (20 Jan 2020)
- Python Machine Learning : The Crash Course for Beginners to Programming and Deep Learning, Artificial Intelligence, Neural Networks and Data Science. Scikit Learn, Tensorflow, Pandas and Numpy. (10 Jun 2019)
- Machine Learning with R : Expert techniques for predictive modeling, 3rd Edition (15 Apr 2019)
- Professional C# 7 and .NET Core 2.0 (17 Apr 2018)
- Illustrated C# 7 : The C# Language Presented Clearly, Concisely, and Visually (28 Mar 2018)
- Pro C# 7 : With .NET and .NET Core (23 Dec 2017)
- C++ for Financial Mathematics (01 Dec 2017)
- Python for Data Analysis, 2e (03 Nov 2017)
- Python Machine Learning : The Ultimate and Complete Guide for Beginners on Data Science and Machine Learning with Python (07 Sep 2017)
- Programming in Haskell (01 Feb 2017)
- Big Data Analytics with Spark and Hadoop (06 Oct 2016)
- Python for Everybody: Exploring Data in Python 3 (09 Apr 2016)
- Make Your Own Neural Network (21 Mar 2016)
- Starting out with Visual C# (4th Edition) (05 Mar 2016)
- C#: Handbook Learn the Basics of C# Programming in 2 Weeks (11 Feb 2016)
- Python Crash Course: A Hands-On, Project-Based Introduction to Programming (03 Dec 2015)
- C#: Learn C# in One Day and Learn It Well. C# for Beginners with Hands-on Project. (27 Oct 2015)
- Python Machine Learning (01 Sep 2015)
- R For Dummies (07 Jul 2015)
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