Introduction to Python

• Overview of Python and its features
• Installation and setup of Python
• Writing and running Python programs

Python Syntax and Data Types

• Basic syntax and control structures (if-else, loops, etc.)
• Variables and data types in Python
• Working with strings, numbers, lists, tuples, dictionaries, and sets

Functions and Modules

• Defining and using functions in Python
• Parameters, return values, and variable scope
• Creating and importing modules in Python

File Handling

• Reading from and writing to files
• Working with file streams and file operations
• CSV, JSON, and XML file handling

Object-Oriented Programming (OOP)

• Introduction to OOP concepts
• Classes, objects, and inheritance in Python
• Encapsulation, polymorphism, and abstraction

Error Handling and Exceptions

• Handling errors and exceptions in Python
• Try-except blocks and exception handling techniques
• Raising and catching exceptions

Python Standard Library

• Exploring the Python Standard Library
• Using built-in modules for common tasks (datetime, math, etc.)
• Working with file system, operating system, and networking

Python Data Science Libraries

• Introduction to popular data science libraries (NumPy, Pandas, Matplotlib)
• Working with arrays, dataframes, and plotting data
• Data manipulation, analysis, and visualization

Web Development with Python

• Introduction to web development using Python
• Working with web frameworks (Django, Flask)
• Handling HTTP requests, routing, and templating

Database Integration

• Working with databases using Python
• Connecting to databases (MySQL, PostgreSQL, etc.)
• Executing SQL queries and handling data

Working with APIs

• Interacting with web APIs using Python
• Making HTTP requests and handling responses
• Parsing JSON and XML data from APIs

Testing and Debugging

• Writing unit tests in Python
• Debugging techniques and tools
• Test-driven development (TDD) in Python

Python for Automation and Scripting

• Automating repetitive tasks with Python
• Working with files, directories, and system commands
• Creating command-line scripts

Python Best Practices and Tips

• Writing clean and readable Python code
• Code organization and documentation
• Performance optimization and code efficiency