Python Standard Library Essential Training
3h 47mIntermediate2025-09-29
Authors
Joe Marini
Senior Developer Advocate at Google, Developer
Course details
Python is a concise, elegant language. And part of what makes it so accessible and fun to use is the library of prebuilt code—known as the Python standard library—that’s distributed along with the language. In this course, learn how to leverage the modules in the Python standard library to make building applications with Python even easier. Discover how the Python standard library can help you solve common coding challenges and make it easier to process text, manipulate data, and work with files and directories. Plus, see how the library can help you work with numbers, calculate and format dates and times, parse HTML, and more.
Skills covered
PythonData AnalysisProgramming LanguagesData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware DevelopmentOne-Off
Concepts
Introduction
- Python - The batteries included language
- Getting set up
- Overview of the Python standard library
Processing Text
- Python text processing
- Basic string operations
- Searching strings
- String manipulation
- String formatting
- String interpolation
- Using CoderPad
- Solution - Work with strings
Manipulating Data
- Using the sorted() function
- Sorting with the key parameter
- Sorting stability
- Using operator functions
- Using efficient arrays
- Array bisection
- Solution - Sorting complex objects
Files and Directories
- Basic file operations
- Creating temporary files and directories
- Reading CSV files
- Writing CSV files
- Working with ZIP files
- Working with configuration files
Working with Numbers
- Working with random numbers
- Random sequence operations
- Cryptographic random operations
- Temporary passwords and URLs
- Generating unique identifiers
- Statistics functions
- Solution - Reservation code
Dates and Times
- Basic dates and times
- Date and time formatting
- Calculating dates and times
- Solution - Date comparison
Internet Operations
- Working with URLs
- Retrieving internet data
- Parsing HTML
- Using JSON
- Solution - JSON
Conclusion
- Next steps