Get to grips with Python best practices and advanced tools to design, distribute, and test your programs.
- 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 for smoother performance
- Take advantage of Python’s metaprogramming and programmable syntax features
- Get to grips with unit testing to write better code, faster
Who is this course intended for?
Packt has been committed to developer learning since 2004. A lot has changed in software since then – but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content – more than 4000 books and video courses -Packt’s mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages to cutting-edge data analytics, and DevOps, Packt takes software professionals in every field to what’s important to them now.
From skills that will help you to develop and future-proof your career to immediate solutions to everyday tech challenges, Packt is a go-to resource to make you a better, smarter developer.
|Setting Up the Work Environment|
|The Course Overview||00:00:00|
|Downloading and Installing Python||00:00:00|
|Using the Command Line and the Interactive Shell||00:00:00|
|Installing Packages with pip||00:00:00|
|Finding Packages in the Python Package Index||00:00:00|
|Creating a Package|
|Creating an Empty Package||00:00:00|
|Adding Modules to the Package||00:00:00|
|Importing One of the Package’s Modules from Another||00:00:00|
|Adding Data Files to the Package||00:00:00|
|Basic Best Practices|
|PEP 8 and Writing Readable Code||00:00:00|
|Using Version Control||00:00:00|
|Using venv to Create a Stable and Isolated Work Area||00:00:00|
|Getting the Most Out of docstrings Part 1 – PEP 257 and Sphinx||00:00:00|
|Getting the Most Out of docstrings Part 2 – doctest||00:00:00|
|Creating a Command-line Utility|
|Making a Package Executable via python – m||00:00:00|
|Handling Command-line Arguments with argparse||00:00:00|
|Executing Other Programs||00:00:00|
|Using Shell Scripts or Batch Files to Launch Programs||00:00:00|
|Coroutines and Asynchronous I/O|
|Understanding Why Asynchronous I/O Isn’t Like Parallel Processing||00:00:00|
|Using the asyncio Event Loop and Coroutine Scheduler||00:00:00|
|Making Asynchronous Tasks Interoperate||00:00:00|
|Communicating across the Network||00:00:00|
|Using Function Decorators||00:00:00|
|Using Function Annotations||00:00:00|
|Using Class Decorators||00:00:00|
|Using Context Managers||00:00:00|
|Understanding the Principles of Unit Testing||00:00:00|
|Using unittest’s Test Discovery||00:00:00|
|Using Nose for Unified Test Discovery and Reporting||00:00:00|
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