339 results on '"Neville-Neil, George V."'
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2. Structuring Success
3. Structuring Success.
4. Stone Knives and Bear Skins: There is no money in tools.
5. Dear Diary
6. Repeat, Reproduce, Replicate: The pressure to publish versus the will to defend scientific claims.
7. Is There Another System?
8. Halfway Around the World
9. Stone Knives and Bear Skins
10. The Parchment Path?
11. The Human Touch
12. Structuring Success: The problem with software structure is people don't really learn it until they really need it.
13. Software Drift: Open source forking.
14. Dear Diary.
15. All Sliders to the Right
16. The Elephant in the Room
17. Is There Another System?: Computer science is the study of what can be automated.
18. All Sliders to the Right
19. The Elephant in the Room
20. OSS Supply-chain Security: What Will It Take?
21. Halfway Around the World: Learn the language, meet the people, eat the food.
22. The Four Horsemen of an Ailing Software Project
23. When should a black box be transparent?
24. Dear Diary: ON KEEPING A LABORATORY NOTEBOOK.
25. Getting off the mad path
26. The Planning and Care of Data
27. Kode Vicious: The Parchment Path?
28. Getting Off the Mad Path
29. Patent absurdity
30. Divide and conquer
31. In praise of the disassembler
32. The Non-Psychopath's Guide to Managing an Open Source Project: Respect your staff, learn from others, and know when to let go.
33. The Human Touch: THERE IS NO SUBSTITUTE FOR GOOD, DIRECT, HONEST TRAINING.
34. Aversion to versions
35. Kabin fever
36. The Non-psychopath's Guide to Managing an Open-source Project
37. Removing kode
38. Kabin Fever
39. Sanity vs. invisible markings
40. Broken hearts and coffee mugs
41. Kode vicious plays in traffic
42. Master of tickets
43. Numbers are for computers, strings are for humans
44. Master of Tickets
45. Koding academies
46. Numbers Are for Computers, Strings Are for Humans
47. Whither sockets?
48. Code spelunking redux
49. When Should a Black Box Be Transparent? WHEN IS A REPLACEMENT NOT A REPLACEMENT?
50. The Planning and Care of Data.
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