What you would learn in Python: Working with Files course?
Automation is the best way to save time when working with files of all types. Nobody wants to spend hours renaming or editing 1000 files manually. Kathryn Hodge will show you how to use Python to automate your operating system tasks, combine data from multiple sources, save results as files, and improve the performance of your Python applications. Kathryn begins by explaining the file system concept that includes absolute and relative paths, directory structures, etc. She then explains how to use the Python Standard Library tools to retrieve metadata about files and paths on your computer. After you have learned how to navigate to the files you wish to work with, you will use Python to process files. This includes parsing text and JSON data, as well as CSV and CSV. Kathryn also discusses how to write data to different file types.
Introduction 1 Automate file tasks with Python
1. Accessing Directory and File Details 2 Understand the file system 3 Navigate the file system with the os module 4 Use os module to uncover path and file details 5 Filter path names with glob module 6 Recursively list all files in a directory 7 Understand Python’s new pathlib module 8 Create directories in Python 9 Challenge Count files 10 Solution Count files
2. Processing Files 11 Open files in Python 12 Read text files in Python 13 Parse JSON files with Python 14 Read CSV files in Python with CSV module and pandas 15 Extract text from PDF files using Python 16 Challenge Aggregate data from multiple sources 17 Solution Aggregate data from multiple sources
3. Writing to Files 18 Write data to a file in Python 19 Move and rename files with Python 20 Copy with Python 21 Delete files with Python 22 Save tabular data with CSV module 23 Write data to a JSON file in Python 24 Challenge Reorganize digital photo collection 25 Solution Reorganize digital photo collection
4. Working with Archives and Temporary Files 26 Create ZIP archives with Python 27 Read from and extract ZIP archives 28 Open and read TAR archives 29 Extract from and write to TAR archives 30 Work with temporary files in Python
Conclusion 31 Continue to analyze data with Python
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