Managing Python Projects

Course details

While the work of coding can be a solitary endeavor, software developers don't work in a vacuum. In order to successfully bring their projects to the finish line, they must spend their days coordinating effectively with other developers. In this course, join Miki Tebeka as he shares best practices and tips for efficiently managing Python projects. Miki covers the essential non-coding tasks around Python programming, including how to best approach the directory structure for a project, tackle challenges related to dependency management, and determine what (and how much) to test. Plus, get general strategies for handling the development process, including how to use source control and issue tracking systems effectively.

Learning objectives
Avoiding common mistakes by leveraging a process
How code reuse can save you time
The proper directory structure for a Python project
Efficient dependency management
Various tests and when to use them
How much to test
Strategies for using source control
Using an issue tracking system effectively

Concepts

Introduction

Managing Python day-to-day
What you should know
Using the exercise files

Why Management Is Important

Working together as a team
Avoid mistakes
Code reuse

Directory Structure

Overview
README.md
init .py
Tests
Makefile
setup.py
Challenge - Slowmath project
Solution - Slowmath project

Dependency Management

The problem
Package managers
virtualenvs
Production vs. development
Challenge - Create environment
Solution - Create environment

Testing

What to test
How much to test
Pytest overview
Fixtures
Skipping and marks
Checking for exceptions
Challenge - Test cases from file
Solution - Test cases from file

Development Process

Working together
Source control
Issue tracking
Feature branches
Code review
Retrospective
Challenge - Implement features
Solution - Implement features

Conclusion

Next steps