Mino / Learn
Codename: Veil

Episode 28 of 38 · 0:55

Choose a tool and install spaCy

Let AI pick the right tool instead of guessing: meet spaCy, a free library that runs on your laptop and recognises names, places and organisations.

All episodes

  1. 1 What we're building: an AI redaction tool 0:36
  2. 2 Create a GitHub account 0:39
  3. 3 Install VS Code 0:52
  4. 4 Install Claude Code in VSCode 0:52
  5. 5 Install Python 0:53
  6. 6 Your first Python file 1:14
  7. 7 Make a project folder 1:20
  8. 8 Set up a Python virtual environment 1:20
  9. 9 Install our first package 0:48
  10. 10 Read a PDF in Python 1:03
  11. 11 Install git 1:04
  12. 12 Your first Git commit 1:00
  13. 13 Create a GitHub repo 1:00
  14. 14 Add a .gitignore file 1:18
  15. 15 Push to GitHub 0:56
  16. 16 Your first redaction 0:58
  17. 17 Save the result to a file 0:46
  18. 18 Module one recap 0:53
  19. 19 What is regex (and asking AI to explain it) 0:55
  20. 20 Vibe-code your first detection 1:03
  21. 21 Understand the code Claude wrote 0:52
  22. 22 Generate a harder test document 0:40
  23. 23 Detect license plates and the first edge case 0:58
  24. 24 More patterns in one prompt 0:47
  25. 25 Refactor the code with Claude 0:53
  26. 26 Structured detection output 0:53
  27. 27 The limit of regex 0:59
  28. 28 Choose a tool and install spaCy 0:55
  29. 29 Detect names with spaCy 0:46
  30. 30 Where spaCy fails 0:51
  31. 31 Combine regex and spaCy 0:45
  32. 32 Module two recap 0:49
  33. 33 What is an LLM 1:16
  34. 34 Why local, why now 0:45
  35. 35 Install Ollama 0:36
  36. 36 Choose a model 1:52
  37. 37 Download and run the model 0:46
  38. 38 Connect Python to Ollama 1:26