Best New Books for October 2017
A list of the best new Programming books for October 2017, a great list of 20 new books!
Best New Books for October 2017
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition
Key Features Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve and optimize your machine learning systems and algorithms Book Description Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library.
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Updated for Python 3. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing.
Java: The Complete Reference, Tenth Edition
The Definitive Java Programming Guide Fully updated for Java SE 9, Java: The Complete Reference, Tenth Edition explains how to develop, compile, debug, and run Java programs. Bestselling programming author Herb Schildt covers the entire Java language, including its syntax, keywords, and fundamental programming principles. Swing, JavaFX, JavaBeans, and servlets are examined and numerous examples demonstrate Java in action.
C++ Templates: The Complete Guide (2nd Edition)
Templates are among the most powerful features of C++, but they remain misunderstood and underutilized, even as the C++ language and development community have advanced. In C++ Templates, Second Edition, three pioneering C++ experts show why, when, and how to use modern templates to build software that’s cleaner, faster, more efficient, and easier to maintain. Throughout, examples clearly illustrate abstract concepts and demonstrate best practices for exploiting all that C++ templates can do.
The Python Starter Kit: An In-depth and Practical course for beginners to Python Programming. Including detailed step-by-step guides and practical demonstrations.
Take on Python Programming at Your Own Pace Without Having to go Through Plain Impractical Textbooks. In this course you’ll learn: -How professional programmers set up their programming environment -Learn the 10 basic style guides for Python code -How Python Experts use variables and basic data types -How to use basic operators in Python -How to take your basic skill set to the next level with advanced programming And a lot more. Buy this book NOW and Take on Python Programming at your own pace without having to go through plain impractical textbooks.
Java: A Beginner’s Guide, Seventh Edition
Up-to-Date, Essential Java Programming Skills―Made Easy. Fully updated for Java Platform, Standard Edition 9 (Java SE 9), Java: A Beginner’s Guide, Seventh Edition, gets you started programming in Java right away. This practical Oracle Press guide features details on Java SE 9’s innovative new module system, and, as an added bonus, it includes an introduction to JShell, Java’s new interactive programming tool.
Java 9 Modularity: Patterns and Practices for Developing Maintainable Applications
The upcoming Java 9 module system will affect existing applications and offer new ways of creating modular and maintainable applications. You’ll also gain learn how to modularize existing code and how to build new Java applications in a modular way. Understand Java 9 module system concepts Master the patterns and practices for building truly modular applications Migrate existing applications and libraries to Java 9 modules Use JDK 9 tools for modular development and migration.
Python Testing with pytest: Simple, Rapid, Effective, and Scalable
Write short, maintainable tests that elegantly express what you’re testing. Write simple, maintainable tests that elegantly express what you’re testing and why. However, pytest 3.