发帖
雷达卡
Daniel Arbuckle
Unlock the power of Python by learning effective application development strategies
Python is one of the most powerful, flexible, and popular programming languages in the world. It comes with all new features in version 3.5. With Python, you can write code that is efficient, maintainable, and reusable.
In this second edition of the course, we cover the basics of operating in a Python development environment as well as the advanced topics. We present you with real-world solutions to Python 3.5 and advanced-level concepts such as reactive programming and microservices, introduce ctypes and Cython tools.
You don't need to be familiar with the Python language as we start with Python primer and move on to explain what’s new in Python 3.5. You’ll get ready to install, create packages, and run them on the command line. Throughout the journey, we'll highlight the major aspects of managing your Python development environment, show you how to handle parallel computation, and help you to master asynchronous I/O with new Python 3.5 to improve the performance of your system.
Finally, you'll learn the secrets of metaprogramming and unit testing in Python—arming you with the perfect skillset to be a Python expert. This course will get you up to speed in everything from basic programming practices to high-end tools and techniques, things that will help you set apart as a successful Python programmer.
Style and Approach
This video covers the basics to advanced-level concepts in computer science. If you are a beginner, then the video will get you started. If you are experienced, it will expand your knowledge base.
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 computation 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 to the concepts behind reactive programming and RxPy
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
* METAPROGRAMMING
* UNIT TESTING
* REACTIVE PROGRAMMING
* MICROSERVICES
* EXTENSION MODULES AND COMPILED CODE
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https://bbs.pinggu.org/thread-4950732-1-1.html
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