Python Standard Library Essentials With Jupyter

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