Programming books:
- Pocket Webmaster: The Ultimate, Must-Have, Quick Reference Guide for Anyone Who Manages a Website (06 Dec 2022)
- Fluent Python: Clear, Concise, and Effective Programming (05 Oct 2022)
- Learn Java 17 Programming: Learn the fundamentals of Java Programming with this updated guide with the latest features, 2nd Edition (29 Sep 2022)
- Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation (30 Jun 2022)
- Financial Theory with Python: A Gentle Introduction (19 Oct 2021)
- HTML and CSS QuickStart Guide: The Simplified Beginners Guide to Developing a Strong Coding Foundation, Building Responsive Websites, and Mastering ... of Modern Web Design (QuickStart Guides) (20 Feb 2021)
- 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)
- Modern Java in Action: Lambdas, streams, functional and reactive programming (11 Dec 2018)
- 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)
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