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Python Performance (Dan Tofan, 2023)

  • 收录时间:2023-11-30 07:00:07
  • 文件大小:372MB
  • 下载次数:1
  • 最近下载:2023-11-30 07:00:07
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文件列表

  1. 3. Using the Right Data Structures/6. Comparing Dataclass, Dictionary, and NamedTuple.mp4 16MB
  2. 2. Measuring Performance/4. Why Profile.mp4 16MB
  3. 2. Measuring Performance/6. Visualizing Profiling Data.mp4 14MB
  4. 3. Using the Right Data Structures/3. Comparing Sets and Tuples.mp4 14MB
  5. 2. Measuring Performance/5. More Profilers.mp4 14MB
  6. 7. Using More Processes/1. Process-based Parallelism.mp4 14MB
  7. 6. Using Asynchronous Code/3. When to Use asyncio.mp4 14MB
  8. 2. Measuring Performance/3. Basic Ways to Measure Performance.mp4 13MB
  9. 3. Using the Right Data Structures/2. Comparing Lists and Arrays.mp4 13MB
  10. 3. Using the Right Data Structures/5. Using Dictionaries.mp4 13MB
  11. 4. Optimizing Python Code/3. Efficient Iterations with Generators.mp4 12MB
  12. 6. Using Asynchronous Code/2. Challenges of Working with asyncio.mp4 12MB
  13. 4. Optimizing Python Code/1. Caching.mp4 12MB
  14. 3. Using the Right Data Structures/1. Which Data Structure Is Faster.mp4 12MB
  15. 5. Using More Threads/2. Challenges of Working with Threads.mp4 12MB
  16. 5. Using More Threads/1. What Are Threads.mp4 12MB
  17. 6. Using Asynchronous Code/1. Asynchronous Code.mp4 12MB
  18. 4. Optimizing Python Code/5. Permission or Forgiveness.mp4 12MB
  19. 5. Using More Threads/3. When to Use Multithreading.mp4 12MB
  20. 4. Optimizing Python Code/7. Optimizing Numerical Calculations.mp4 11MB
  21. 7. Using More Processes/4. Scaling from One to More Machines.mp4 11MB
  22. 3. Using the Right Data Structures/4. Comparing Queues and Deques.mp4 11MB
  23. 4. Optimizing Python Code/9. Risky Optimizations.mp4 11MB
  24. 4. Optimizing Python Code/2. For vs. List Comprehension.mp4 10MB
  25. 4. Optimizing Python Code/6. Faster Functions.mp4 10MB
  26. 4. Optimizing Python Code/4. Fast Concatenation of Strings.mp4 10MB
  27. 7. Using More Processes/3. When to Use More Processes.mp4 10MB
  28. 4. Optimizing Python Code/8. Interpreter-based Optimizations.mp4 8MB
  29. exercise.7z 8MB
  30. 2. Measuring Performance/1. Understanding Performance.mp4 7MB
  31. 2. Measuring Performance/2. Strategy to Improve Performance.mp4 5MB
  32. 7. Using More Processes/2. Processes Communication.mp4 4MB
  33. 7. Using More Processes/5. Summary.mp4 4MB
  34. 1. Course Overview/1. Course Overview.mp4 3MB
  35. cover.jpg 134KB
  36. 2. Measuring Performance/6. Visualizing Profiling Data.vtt 10KB
  37. 2. Measuring Performance/4. Why Profile.vtt 10KB
  38. 3. Using the Right Data Structures/1. Which Data Structure Is Faster.vtt 9KB
  39. 4. Optimizing Python Code/1. Caching.vtt 9KB
  40. 2. Measuring Performance/3. Basic Ways to Measure Performance.vtt 9KB
  41. 3. Using the Right Data Structures/6. Comparing Dataclass, Dictionary, and NamedTuple.vtt 9KB
  42. 5. Using More Threads/2. Challenges of Working with Threads.vtt 9KB
  43. 6. Using Asynchronous Code/1. Asynchronous Code.vtt 9KB
  44. 2. Measuring Performance/5. More Profilers.vtt 9KB
  45. 3. Using the Right Data Structures/5. Using Dictionaries.vtt 8KB
  46. 3. Using the Right Data Structures/3. Comparing Sets and Tuples.vtt 8KB
  47. 5. Using More Threads/1. What Are Threads.vtt 8KB
  48. 7. Using More Processes/1. Process-based Parallelism.vtt 8KB
  49. 2. Measuring Performance/1. Understanding Performance.vtt 8KB
  50. 4. Optimizing Python Code/3. Efficient Iterations with Generators.vtt 8KB
  51. 6. Using Asynchronous Code/3. When to Use asyncio.vtt 8KB
  52. 3. Using the Right Data Structures/2. Comparing Lists and Arrays.vtt 8KB
  53. 6. Using Asynchronous Code/2. Challenges of Working with asyncio.vtt 8KB
  54. 4. Optimizing Python Code/7. Optimizing Numerical Calculations.vtt 8KB
  55. 4. Optimizing Python Code/5. Permission or Forgiveness.vtt 8KB
  56. 3. Using the Right Data Structures/4. Comparing Queues and Deques.vtt 8KB
  57. 7. Using More Processes/4. Scaling from One to More Machines.vtt 8KB
  58. 4. Optimizing Python Code/9. Risky Optimizations.vtt 8KB
  59. 7. Using More Processes/3. When to Use More Processes.vtt 7KB
  60. 5. Using More Threads/3. When to Use Multithreading.vtt 7KB
  61. 4. Optimizing Python Code/4. Fast Concatenation of Strings.vtt 7KB
  62. 4. Optimizing Python Code/6. Faster Functions.vtt 7KB
  63. 4. Optimizing Python Code/2. For vs. List Comprehension.vtt 6KB
  64. 4. Optimizing Python Code/8. Interpreter-based Optimizations.vtt 6KB
  65. 2. Measuring Performance/2. Strategy to Improve Performance.vtt 5KB
  66. 7. Using More Processes/2. Processes Communication.vtt 4KB
  67. 7. Using More Processes/5. Summary.vtt 3KB
  68. playlist.m3u 2KB
  69. 1. Course Overview/1. Course Overview.vtt 1KB
  70. ~i.txt 988B