Practical Data Science Cookbook This Practical Data Cookbook has 89 hands-on recipes for all data scientists to help complete real-world big data science and numerical projects in R and Python @computer_books

Mastering Object-oriented Python If you want to master object-oriented Python programming this book is a must-have. With 750 code samples and a relaxed tutorial, it’s a seamless route to programming Python. @computer_books

NHibernate 3.0 Cookbook Get solutions to common NHibernate problems to develop high-quality performance-critical data access applications @computer_books

Getting Started with LLVM Core Libraries Get to grips with LLVM essentials and use the core libraries to build advanced tools @computer_books

Wireshark Essentials Get up and running with Wireshark to analyze network packets and protocols effectively @computer_books

Learning pandas Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery @computer_books

Machine Learning with Spark Create scalable machine learning applications to power a modern data-driven business using Spark @computer_books

Learning Python Network Programming Utilize Python 3 to get network applications up and running quickly and easily @computer_books

Python Geospatial Development - Second Edition If you’re experienced in Python here’s an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required – this book takes you through it all, step by step.…