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

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种子名称： [ FreeCourseWeb.com ] Linkedin - Python - Working with Files
文件类型：视频
文件数目： 31个文件
文件大小： 237.29 MB
收录时间： 2021-7-28 05:42
已经下载： 3次
资源热度： 142
最近下载： 2024-9-29 13:35

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~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