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LinkedIn Learning

Managing Python Projects

via LinkedIn Learning

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Overview

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Get tips for efficiently managing your Python projects. Learn how to help your team stay coordinated as you bring your projects to the finish line.

Syllabus

Introduction
  • Managing Python day-to-day
  • What you should know
  • Using the exercise files
1. Why Management Is Important
  • Working together as a team
  • Avoid mistakes
  • Code reuse
2. Directory Structure
  • Overview
  • README.md
  • __init__.py
  • Tests
  • Makefile
  • setup.py
  • Challenge: Slowmath project
  • Solution: Slowmath project
3. Dependency Management
  • The problem
  • Package managers
  • virtualenvs
  • Production vs. development
  • Challenge: Create environment
  • Solution: Create environment
4. 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
5. Development Process
  • Working together
  • Source control
  • Issue tracking
  • Feature branches
  • Code review
  • Retrospective
  • Challenge: Implement features
  • Solution: Implement features
Conclusion
  • Next steps

Taught by

Miki Tebeka

Reviews

4.5 rating at LinkedIn Learning based on 154 ratings

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