Tags
Language
Tags
April 2024
Su Mo Tu We Th Fr Sa
31 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 1 2 3 4

Daniel Arbuckle's Mastering Python

Posted By: hill0
Daniel Arbuckle's Mastering Python

Daniel Arbuckle's Mastering Python by Daniel Arbuckle
English | 30 Jun. 2017 | ASIN: B072178BTQ | 274 Pages | AZW3 | 6.44 MB

Key Features

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
Book Description

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