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Linkedin - Python Programming Efficiently

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  • 文件大小:438MB
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文件列表

  1. 3. Writing Python Efficiently/3. Design efficient loops.mp4 26MB
  2. 6. Performance Optimization in Python/2. Time profiling.mp4 25MB
  3. 3. Writing Python Efficiently/6. Write Pythonic code.mp4 24MB
  4. 3. Writing Python Efficiently/5. Exploit Python collections.mp4 22MB
  5. 3. Writing Python Efficiently/4. Comprehensions and generators.mp4 21MB
  6. 6. Performance Optimization in Python/3. Memory profiling.mp4 20MB
  7. 4. Leveraging Python Libraries/6. Serve webpages with Flask.mp4 20MB
  8. 5. Efficient Python with Object-Oriented and Functional Programming/2. Divide and conquer with Python classes.mp4 18MB
  9. 5. Efficient Python with Object-Oriented and Functional Programming/4. Functional techniques in Python.mp4 18MB
  10. 4. Leveraging Python Libraries/2. Download webpages with requests.mp4 17MB
  11. 5. Efficient Python with Object-Oriented and Functional Programming/3. Exploit class inheritance.mp4 16MB
  12. 4. Leveraging Python Libraries/4. Parse HTML with Beautiful Soup.mp4 16MB
  13. 5. Efficient Python with Object-Oriented and Functional Programming/5. Function decorators.mp4 15MB
  14. 4. Leveraging Python Libraries/3. Manipulate images with Pillow.mp4 14MB
  15. Exercise Files/Ch03.zip 13MB
  16. 1. Introduction/1. Programming efficiently with Python.mp4 13MB
  17. 2. Installation and Setup/1. Install the Anaconda Python distribution on macOS X.mp4 12MB
  18. 6. Performance Optimization in Python/5. Introduction to parallel programming.mp4 11MB
  19. 3. Writing Python Efficiently/2. Python vs. C.mp4 10MB
  20. 5. Efficient Python with Object-Oriented and Functional Programming/7. Solution- Bale of turtles.mp4 10MB
  21. 4. Leveraging Python Libraries/5. Make movies with Matplotlib.mp4 10MB
  22. 2. Installation and Setup/3. Work with Jupyter Notebooks.mp4 10MB
  23. 2. Installation and Setup/2. Install the Anaconda Python distribution on Windows.mp4 9MB
  24. 6. Performance Optimization in Python/4. Algorithm complexity.mp4 8MB
  25. 6. Performance Optimization in Python/7. Solution- Inverted index.mp4 8MB
  26. 4. Leveraging Python Libraries/8. Solution- Image-editing application.mp4 7MB
  27. 6. Performance Optimization in Python/6. Challenge- Inverted index.mp4 6MB
  28. 4. Leveraging Python Libraries/7. Challenge- Image-editing application.mp4 6MB
  29. 3. Writing Python Efficiently/8. Solution- Analyze Olympic medalist data.mp4 5MB
  30. 4. Leveraging Python Libraries/1. Choose the best libraries for your task.mp4 5MB
  31. 5. Efficient Python with Object-Oriented and Functional Programming/6. Challenge- Bale of turtles.mp4 5MB
  32. 5. Efficient Python with Object-Oriented and Functional Programming/1. Object-oriented and functional Python.mp4 3MB
  33. 6. Performance Optimization in Python/1. Computer architecture and optimization techniques.mp4 3MB
  34. 1. Introduction/2. Base knowledge.mp4 3MB
  35. 7. Conclusion/1. Keep taking advantage of Python.mp4 3MB
  36. 3. Writing Python Efficiently/7. Challenge- Analyze Olympic medalist data.mp4 3MB
  37. Exercise Files/Ch04.zip 3MB
  38. 3. Writing Python Efficiently/1. Writing Python efficiently.mp4 2MB
  39. Exercise Files/Ch02.zip 489KB
  40. Exercise Files/Ch05.zip 151KB