Master Python from Basics to Advanced | Complete Python Learning Path with 20+ Algorithms

 

🐍 Complete Python Course Outline (Beginner to Advanced)

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📌 Introduction

Python is one of the most popular programming languages in the world, known for its simplicity, versatility, and vast ecosystem. Whether you want to build desktop applications, web applications, automate tasks, or dive into AI and data science—Python can do it all. This learning path will take you from absolute beginner to advanced developer with real-world concepts and hands-on algorithms.

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📚 Course Outline

Module 1: Getting Started with Python

• Introduction to Python & Installation

• Python IDEs (VS Code, PyCharm, Jupyter)

• Python Syntax & Indentation

• Variables & Data Types

• Input/Output Operations

• Type Casting & Dynamic Typing

🔗 Go to Detailed Article👉 📖https://imomins.blogspot.com/2025/08/blog-content-master-python-from-scratch.html

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Module 2: Python Fundamentals

• Operators (Arithmetic, Logical, Comparison, Bitwise)

• Conditional Statements (if, elif, else)

• Loops (for, while, break, continue)

• Python Collections (List, Tuple, Set, Dictionary)

• String Handling & Manipulation

• List Comprehensions

🔗 Go to Detailed Article👉 📖 : https://imomins.blogspot.com/2025/08/master-python-fundamentals-module-2.html

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Module 3: Functions & Modules

• Defining Functions

• Arguments & Return Values

• Recursive Functions

• Lambda Functions

• Modules & Packages

• Python Standard Library (OS, SYS, MATH, DATETIME)

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-python-functions-modules-module.html

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Module 4: Object-Oriented Programming in Python

• Classes & Objects

• Constructors (__init__)

• Inheritance (Single, Multiple, Multilevel)

• Encapsulation & Abstraction

• Polymorphism

• Dunder (Magic) Methods

• Dataclasses (Python 3.10+)

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-object-oriented-programming-in.html

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Module 5: Error Handling & File Operations

• Try, Except, Finally Blocks

• Custom Exceptions

• File Handling (Read, Write, Append)

• Working with JSON, CSV, and XML

• Context Managers (with statement)

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-error-handling-file-operations.html

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Module 6: Advanced Python Concepts

• Iterators & Generators

• Decorators

• Closures

• Regular Expressions (Regex)

• Virtual Environments

• Type Hinting (Python 3.9+)

• AsyncIO & Concurrency

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-advanced-python-concepts-module.html

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Module 7: Data Structures & Libraries

• Stacks, Queues, Linked Lists

• Dictionaries in depth

• Sets & Frozen Sets

• Numpy Basics

• Pandas for Data Handling

• Matplotlib/Seaborn for Visualization

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-data-structures-libraries-in.html

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Module 8: Python for Desktop Applications

• Introduction to Tkinter

• Creating Windows & Widgets

• Event Handling in GUI

• Menus, Forms, and Validation

• Simple Desktop Application (Calculator, Notepad)

🔗 Go to Detailed Article👉 📖  https://imomins.blogspot.com/2025/08/master-python-for-desktop-applications.html

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Module 9: Python for Web Applications

• Introduction to Web Frameworks (Flask & Django)

• Flask Basics (Routes, Templates, Forms)

• Django Basics (Models, Views, Templates, ORM)

• REST API Development with Flask/Django

• Authentication & Sessions

• Deployment Basics (Heroku, PythonAnywhere)

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-python-for-web-applications.html

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Module 10: Algorithms & Problem Solving with Python

Covering 20+ core algorithms with hands-on coding:

• Searching Algorithms:

  • Linear Search

  • Binary Search

• Sorting Algorithms:

  • Bubble Sort

  • Insertion Sort

  • Selection Sort

  • Merge Sort

  • Quick Sort

  • Heap Sort

  • Counting Sort

  • Radix Sort

• Recursion-Based:

  • Fibonacci Numbers

  • Factorial

  • Tower of Hanoi

• Number Theory:

  • Prime Numbers

  • GCD & LCM

  • Sieve of Eratosthenes

• Dynamic Programming:

  • Longest Common Subsequence

  • Knapsack Problem

  • Coin Change Problem

• Graph Algorithms:

• BFS (Breadth First Search)

• DFS (Depth First Search)

• Dijkstra’s Algorithm

• Minimum Spanning Tree (Kruskal/Prim)

🔗 Go to Detailed Article👉 📖 https://imomins.blogspot.com/2025/08/master-algorithms-problem-solving-with.html

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📌 Conclusion

By completing this Python journey, you’ll gain a solid foundation in programming and be able to build desktop apps, web apps, and solve complex algorithmic problems. With Python’s versatility, you’ll be ready to step into careers in web development, software engineering, automation, or even data science & AI.