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[ FreeCourseWeb.com ] Linkedin - Python - Working with Files

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2021-7-28 05:42 2024-7-18 21:16 131 237.29 MB 31
磁力链接
magnet:?xt=urn:btih:0634a84113f36363b9765f7d837abea4bbfc11a0
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjA2MzRhODQxMTNmMzYzNjNiOTc2NWY3ZDgzN2FiZWE0YmJmYzExYTBaWg==
二维码链接
[ FreeCourseWeb.com ] Linkedin - Python - Working with Files的二维码
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相关链接

FreeCourseWeb com Linkedin - Python - Working with Files

文件列表
  1. ~Get Your Files Here !/[1] Introduction/[1] Automate file tasks with Python.mp47.37MB
  2. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[1] Understand the file system.mp47.37MB
  3. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[2] Navigate the file system with os module.mp49.6MB
  4. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[3] Use os module to uncover path and file details.mp414.57MB
  5. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[4] Filter path names with glob module.mp47.19MB
  6. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[5] Recursively list all files in a directory.mp410.4MB
  7. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[6] Understand Python's new pathlib module.mp48.4MB
  8. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[7] Create directories in Python.mp46.67MB
  9. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[8] Challenge Count files.mp42.29MB
  10. ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[9] Solution Count files.mp47.45MB
  11. ~Get Your Files Here !/[3] 2. Processing Files/[1] Open files in Python.mp49.24MB
  12. ~Get Your Files Here !/[3] 2. Processing Files/[2] Read text files in Python.mp48.18MB
  13. ~Get Your Files Here !/[3] 2. Processing Files/[3] Parse JSON files with Python.mp46.04MB
  14. ~Get Your Files Here !/[3] 2. Processing Files/[4] Read CSV files in Python with csv module and pandas.mp49.12MB
  15. ~Get Your Files Here !/[3] 2. Processing Files/[5] Extract text from PDF files using Python.mp48.67MB
  16. ~Get Your Files Here !/[3] 2. Processing Files/[6] Challenge Aggregate data from multiple sources.mp42.89MB
  17. ~Get Your Files Here !/[3] 2. Processing Files/[7] Solution Aggregate data from multiple sources.mp49.68MB
  18. ~Get Your Files Here !/[4] 3. Writing to Files/[1] Write data to a file in Python.mp47.11MB
  19. ~Get Your Files Here !/[4] 3. Writing to Files/[2] Move and rename files with Python.mp47.3MB
  20. ~Get Your Files Here !/[4] 3. Writing to Files/[3] Copy with Python.mp45.5MB
  21. ~Get Your Files Here !/[4] 3. Writing to Files/[4] Delete files with Python.mp47.78MB
  22. ~Get Your Files Here !/[4] 3. Writing to Files/[5] Save tabular data with csv module.mp49.47MB
  23. ~Get Your Files Here !/[4] 3. Writing to Files/[6] Write data to a JSON file in Python.mp44.25MB
  24. ~Get Your Files Here !/[4] 3. Writing to Files/[7] Challenge Reorganize digital photo collection.mp42.88MB
  25. ~Get Your Files Here !/[4] 3. Writing to Files/[8] Solution Reorganize digital photo collection.mp411.72MB
  26. ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[1] Create ZIP archives with Python.mp48.59MB
  27. ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[2] Read from and extract ZIP archives.mp410.92MB
  28. ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[3] Open and read TAR archives.mp48.15MB
  29. ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[4] Extract from and write to TAR archives.mp49.69MB
  30. ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[5] Work with temporary files in Python.mp44.64MB
  31. ~Get Your Files Here !/[6] Conclusion/[1] Continue to analyze data with Python.mp44.18MB
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