[ 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 | 2024-11-9 19:02 | 154 | 237.29 MB | 31 |
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文件列表
- ~Get Your Files Here !/[1] Introduction/[1] Automate file tasks with Python.mp47.37MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[1] Understand the file system.mp47.37MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[2] Navigate the file system with os module.mp49.6MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[3] Use os module to uncover path and file details.mp414.57MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[4] Filter path names with glob module.mp47.19MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[5] Recursively list all files in a directory.mp410.4MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[6] Understand Python's new pathlib module.mp48.4MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[7] Create directories in Python.mp46.67MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[8] Challenge Count files.mp42.29MB
- ~Get Your Files Here !/[2] 1. Accessing Directory and File Details/[9] Solution Count files.mp47.45MB
- ~Get Your Files Here !/[3] 2. Processing Files/[1] Open files in Python.mp49.24MB
- ~Get Your Files Here !/[3] 2. Processing Files/[2] Read text files in Python.mp48.18MB
- ~Get Your Files Here !/[3] 2. Processing Files/[3] Parse JSON files with Python.mp46.04MB
- ~Get Your Files Here !/[3] 2. Processing Files/[4] Read CSV files in Python with csv module and pandas.mp49.12MB
- ~Get Your Files Here !/[3] 2. Processing Files/[5] Extract text from PDF files using Python.mp48.67MB
- ~Get Your Files Here !/[3] 2. Processing Files/[6] Challenge Aggregate data from multiple sources.mp42.89MB
- ~Get Your Files Here !/[3] 2. Processing Files/[7] Solution Aggregate data from multiple sources.mp49.68MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[1] Write data to a file in Python.mp47.11MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[2] Move and rename files with Python.mp47.3MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[3] Copy with Python.mp45.5MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[4] Delete files with Python.mp47.78MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[5] Save tabular data with csv module.mp49.47MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[6] Write data to a JSON file in Python.mp44.25MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[7] Challenge Reorganize digital photo collection.mp42.88MB
- ~Get Your Files Here !/[4] 3. Writing to Files/[8] Solution Reorganize digital photo collection.mp411.72MB
- ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[1] Create ZIP archives with Python.mp48.59MB
- ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[2] Read from and extract ZIP archives.mp410.92MB
- ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[3] Open and read TAR archives.mp48.15MB
- ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[4] Extract from and write to TAR archives.mp49.69MB
- ~Get Your Files Here !/[5] 4. Working with Archives and Temporary Files/[5] Work with temporary files in Python.mp44.64MB
- ~Get Your Files Here !/[6] Conclusion/[1] Continue to analyze data with Python.mp44.18MB
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