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schedule.txt
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schedule.txt
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Week 1-2: Introduction and Basics
Day 1-2:
Introduction
Overview of Python and its applications
Setting up Python environment (interpreter, IDEs like PyCharm or VSCode)
Day 3-5:
Basic Syntax and Variables
Print statements, comments
Data types: int, float, string
Variables and basic operations
Day 6-7: Control Flow
Conditional statements (if, elif, else)
Loops (for, while)
Week 3-4: Data Structures and Functions
Day 8-10: Lists
Creating and manipulating lists
List comprehensions
Day 11-13: Dictionaries and Sets
Understanding dictionaries
Sets and their applications
Day 14-16: Functions
Defining functions
Parameters, return values, and scope
Week 5-6: Advanced Data Structures and File Handling
Day 17-19: Tuples and Strings
Tuples and their use cases
String manipulation and formatting
Day 20-22: File Handling
Reading and writing files
Working with different file formats (text, CSV, JSON)
Week 7-8: Object-Oriented Programming (OOP)
Day 23-26: Introduction to OOP
Classes and objects
Inheritance, polymorphism, encapsulation
Day 27-28: Advanced OOP
Decorators, class methods, static methods
Special methods (dunder methods)
Week 9-10: Intermediate Topics
Day 29-31: Exception Handling
Try, except, finally blocks
Handling different types of exceptions
Day 32-35: Modules and Libraries
Creating and using modules
Introduction to popular libraries (e.g., NumPy, Pandas)
Week 11-12: Web Development and Databases
Day 36-40: Basic Web Development (Optional)
Introduction to Flask or Django
Basic routing and templates
Day 41-43: Database Basics
Introduction to SQL
Basic CRUD operations
Week 13-14: Advanced Topics
Day 44-47: Regular Expressions
Pattern matching with regex
Day 48-50: Concurrency and Threading
Basics of threading and multiprocessing
Day 51-54: Testing and Debugging
Unit testing with unittest or pytest
Debugging techniques
Week 15-16: Final Projects and Review
Day 55-60: Final Projects
Work on small projects to reinforce learning
Apply knowledge gained in previous weeks
Day 61-63: Review and Advanced Concepts
Review weak areas
Explore advanced topics (AI/ML, web scraping, automation)