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Tools & Workflow

The everyday developer toolkit: pip and virtual environments, debugging, logging, testing, and the workflow habits that make coding smoother.

40 lessons about 13 hours Easy
Learn it by writing it.

Every lesson runs real code in your browser, checked the moment you submit. No installing anything, no setup, no waiting.

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What this course covers

  1. pip: Install Magic Libraries
  2. Virtual Environments: Sandbox Your Code
  3. Debugging: Finding the Bug
  4. Logging: Track What Happens
  5. Read an Error Like a Detective
  6. enumerate & zip
  7. Counting with Counter
  8. Working with Dates
  9. Sanity Checks with assert
  10. Timing Your Code
  11. Version Control with Git
  12. Command-Line Tools with argparse
  13. Modern File Paths with pathlib
  14. Regular Expressions
  15. Automated Testing
  16. Python Project Structure
  17. Code Style: Black, Ruff, and PEP 8
  18. JSON: The Data Exchange Language
  19. CSV: Rows of Data
  20. Environment Variables
  21. defaultdict and namedtuple
  22. Comprehensions: Collections in One Line
  23. f-strings: Formatting Mastery
  24. Sorting with Keys
  25. Sets: Unique and Fast
  26. String Methods Power Hour
  27. pprint: Readable Data Dumps
  28. Random and Seeds
  29. The math Module
  30. try/except: Graceful Failure
  31. raise: Your Own Errors
  32. Type Hints: Promises About Types
  33. dataclasses: Data Classes the Easy Way
  34. secrets: Safe Randomness
  35. hashlib: Fingerprints for Data
  36. File-Like Objects: io.StringIO
  37. Debug Printing Done Right
  38. itertools: chain and product
  39. pip Deep Dive: freeze, show, uninstall
  40. Capstone: A Pocket Toolkit

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