Daniel Arbuckle’s Mastering Python
- Covers the latest and advanced concepts of Python such as parallel processing with Python 3.6
- Explore the Python language from its basic installation and setup to concepts such as reactive programming and microservices
- Get introduced to the mechanism for rewriting code in a compiled language along with ctypes and Cython tools
Daniel Arbuckle's Mastering Python covers the basics of operating in a Python development environment, before moving on to more advanced topics. Daniel presents you with real-world solutions to Python 3.6 and advanced-level concepts, such as reactive programming, microservices, ctypes, and Cython tools.
You don't need to be familiar with the Python language to use this book, as Daniel starts with a Python primer. Throughout, Daniel highlights the major aspects of managing your Python development environment, shows you how to handle parallel computation, and helps you to master asynchronous I/O with Python 3.6 to improve performance. Finally, Daniel will teach you the secrets of metaprogramming and unit testing in Python, helping you acquire the perfect skillset to be a Python expert.
Daniel will get you up to speed on everything from basic programming practices to high-end tools and techniques, things that will help set you apart as a successful Python programmer.
What you will learn
- Get to grips with the basics of operating in a Python development environment
- Build Python packages to efficiently create reusable code
- Become proficient at creating tools and utility programs in Python
- Use the Git version control system to protect your development environment from unwanted changes
- Harness the power of Python to automate other software
- Distribute computational tasks across multiple processors
- Handle high I/O loads with asynchronous I/O to get a smoother performance
- Take advantage of Python's metaprogramming and programmable syntax features
- Get acquainted with the concepts behind reactive programming and RxPy
About the Author
Daniel Arbuckle gained his PhD in Computer Science from the University of Southern California. He has published numerous papers along with several books and video courses, and he is both a teacher of computer science and a professional programmer.
Table of Contents
- Python Primer
- Setting Up
- Making a Package
- Basic Best Practices
- Making a Command-Line Utility
- Parallel Processing
- Coroutines and Asynchronous I/O
- Unit Testing
- Reactive Programming
- Extension Modules and Compiled Code