Introduction to Python

• Overview and applications.
• Setting up the Python environment.
  
  

Python Basics

• Data types, variables, and operators.
• Control structures: loops and conditionals.
• Functions and modular programming.
  
  

Data Structures

• Lists, tuples, sets, dictionaries.
• Data manipulation techniques.
  
  

Working with Libraries

• Standard libraries: os, datetime.
• Popular libraries: NumPy, pandas, Matplotlib, requests.
  
  

Object-Oriented Programming (OOP)

• Classes, objects, inheritance, and polymorphism.
  
  

File Handling

• Reading/writing files.
• Working with CSV and JSON formats.
  
  

Advanced Python

• Error handling and exceptions.
• Generators and decorators.
• Multithreading and multiprocessing.
  
  

Data Science with Python

• Exploratory data analysis with pandas.
• Data visualization using Matplotlib and Seaborn.
• Machine learning fundamentals with scikit-learn.