Week 1: Introduction to Python

• What is Python?
• Guido Van Rossum
• Python installation and setup
• Understanding the Python interpreter and interactive mode
• Basic data types: integers, floats, strings, and booleans
• Variables, expressions, and assignments
• Basic input and output functions
• Introduction to Python's built-in functions
• Code commenting and readability

Week 2: Control Flow and Loops

• Conditional statements: if, elif, and else
• Logical operators: and, or, not
• Loops: while and for loops
• List comprehensions
• Iterating through sequences: range() function
• Break and continue statements

Week 3: Functions and Modules

• Defining and calling functions
• Function arguments and default values
• Returning values from functions
• Variable scope and global variables
• Importing modules and using standard libraries
• Creating and organizing your own modules

Week 4: Data Structures

• Lists: creation, indexing, slicing, and methods
• Tuples: creation, indexing, and immutability
• Sets: creation, methods, and set operations
• Dictionaries: creation, keys, values, and methods
• Choosing the right data structure for your program

Week 5: Error Handling and Exceptions

• Understanding and identifying different error types
• Handling exceptions using try, except, and finally blocks
• Raising exceptions with raise keyword
• Creating and using custom exceptions
• Best practices for error handling

Week 6: File Input/Output and Serialization

• Reading and writing text files
• Opening and closing files using 'with' statement
• File modes and working with binary files
• Understanding file pointers and seeking
• JSON: Reading and writing JSON files
• Pickle: Object serialization and deserialization

Week 7: Object-Oriented Programming

• Introduction to object-oriented programming (OOP) concepts
• Classes, objects, and attributes
• Methods and the self keyword
• Constructors and destructors (init and del)
• Inheritance and method overriding
• Encapsulation and abstraction
• Polymorphism and duck typing

Week 8: Advanced Topics and Best Practices

• Working with Python libraries: requests, pandas, NumPy, matplotlib, etc.
• List and dictionary comprehensions
• Lambda functions, filter(), map(), and reduce()
• Generators and the yield keyword, Iterators
• Decorators and higher-order functions
• Context managers and the with statement
• Multithreading and multiprocessing
• Writing clean, efficient, and Pythonic code, Python best practices and PEP 8
• Introduction to testing and debugging: unittest, pytest, and pdb