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Python Programming

📊 54 Topics
⏱️ Interactive Learning
🎯 Step by Step
Python is one of the world's most popular and versatile programming languages, perfect for beginners and professionals alike. Known for its clean, readable syntax and powerful capabilities, Python is used in web development, data science, artificial intelligence, automation, and more. This comprehensive guide covers everything from basic syntax and data structures to advanced topics like object-oriented programming, web frameworks, and machine learning libraries. Learn to build web applications with Django and Flask, analyze data with pandas and NumPy, create automation scripts, and develop AI solutions. Whether you're starting your programming journey or expanding your skill set, Python's gentle learning curve and extensive ecosystem make it an excellent choice for modern software development.
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Course Completed

This course is complete and ready for learning. All topics are available for study.

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📋 Learning Path

Follow the structured learning path below

Python Introduction Python Installation Development Environments and Editors Python Syntax Python Variables Python Data Types Python Operators Python Comments Python Input and Output Python Strings Python Numbers Python Lists Python Tuples Python Dictionaries Python Sets Python Control Flow Python Loops Python Functions Python Modules Python Exceptions Python File Handling Python Object Oriented Programming Python Decorators Python Generators Python Iterators Python Context Managers Python Comprehensions Python Regular Expressions Python Asyncio Python Date and Time Python Math and Statistics Python JSON Handling Python Virtual Environments Python Packages Python and SQLite Python and MySQL Python and PostgreSQL Python for Web Development Python and APIs Python for Data Analysis Python for Machine Learning Python Scripting Python Testing Python Code Style Python Debugging Python Logging Python Performance Optimization Python Security Python Docstrings Python Refactoring Python Built in Functions Python Standard Library Python Error Codes Python Quick Cheatsheet
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