July 2024
Beginner
3h 12m
English
Overview
Python Standard Library Essentials with Jupyter
For Absolute Beginners
Description
Master the core modules and features of Python's extensive standard library. This comprehensive course covers file handling, data structures, mathematical operations, data analysis, and interactive computing environments. You'll learn how to leverage built-in Python capabilities to write efficient, powerful code for a wide range of applications.
Outline
- Introduction to Python's Standard Library
- Overview of the standard library
Importance in Python programming
Data Structures and Algorithms
- Lists, sets, tuples, and dictionaries
- Working with sequences and mappings
Advanced operations and methods
File Handling and I/O
- Basic file operations (reading, writing, appending)
- Working with directories using the os module
Advanced file and directory operations
Mathematical and Numeric Modules
- Math module for basic operations
- Random module for generating random data
Statistics module for data analysis
Date and Time Handling
- Datetime module for date and time operations
- Time module for time-related functions
Calendar module for calendar-related tasks
Data Serialization
- Pickle module for object serialization
- Working with custom objects
CSV module for reading and writing CSV files
Interactive Computing with Jupyter
- Introduction to Jupyter notebooks
- Jupyter vs Google Colab
Magic commands and cell types
Data Visualization with Matplotlib
- Creating basic plots
- Customizing plots and figures
Advanced Matplotlib features
Advanced Python Environments
- IPython magic commands
- File and system operations in IPython
Language integrations (JavaScript, Bash, HTML)
Best Practices and Tips
- Efficient use of the standard library
- Common pitfalls and how to avoid them
- Resources for further learning
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