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Complete roadmap to learn Python and Data Structures & Algorithms (DSA) in 2 months

### Week 1: Introduction to Python

Day 1-2: Basics of Python
- Python setup (installation and IDE setup)
- Basic syntax, variables, and data types
- Operators and expressions

Day 3-4: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)

Day 5-6: Functions and Modules
- Function definitions, parameters, and return values
- Built-in functions and importing modules

Day 7: Practice Day
- Solve basic problems on platforms like HackerRank or LeetCode

### Week 2: Advanced Python Concepts

Day 8-9: Data Structures in Python
- Lists, tuples, sets, and dictionaries
- List comprehensions and generator expressions

Day 10-11: Strings and File I/O
- String manipulation and methods
- Reading from and writing to files

Day 12-13: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation

Day 14: Practice Day
- Solve intermediate problems on coding platforms

### Week 3: Introduction to Data Structures

Day 15-16: Arrays and Linked Lists
- Understanding arrays and their operations
- Singly and doubly linked lists

Day 17-18: Stacks and Queues
- Implementation and applications of stacks
- Implementation and applications of queues

Day 19-20: Recursion
- Basics of recursion and solving problems using recursion
- Recursive vs iterative solutions

Day 21: Practice Day
- Solve problems related to arrays, linked lists, stacks, and queues

### Week 4: Fundamental Algorithms

Day 22-23: Sorting Algorithms
- Bubble sort, selection sort, insertion sort
- Merge sort and quicksort

Day 24-25: Searching Algorithms
- Linear search and binary search
- Applications and complexity analysis

Day 26-27: Hashing
- Hash tables and hash functions
- Collision resolution techniques

Day 28: Practice Day
- Solve problems on sorting, searching, and hashing

### Week 5: Advanced Data Structures

Day 29-30: Trees
- Binary trees, binary search trees (BST)
- Tree traversals (in-order, pre-order, post-order)

Day 31-32: Heaps and Priority Queues
- Understanding heaps (min-heap, max-heap)
- Implementing priority queues using heaps

Day 33-34: Graphs
- Representation of graphs (adjacency matrix, adjacency list)
- Depth-first search (DFS) and breadth-first search (BFS)

Day 35: Practice Day
- Solve problems on trees, heaps, and graphs

### Week 6: Advanced Algorithms

Day 36-37: Dynamic Programming
- Introduction to dynamic programming
- Solving common DP problems (e.g., Fibonacci, knapsack)

Day 38-39: Greedy Algorithms
- Understanding greedy strategy
- Solving problems using greedy algorithms

Day 40-41: Graph Algorithms
- Dijkstra’s algorithm for shortest path
- Kruskal’s and Prim’s algorithms for minimum spanning tree

Day 42: Practice Day
- Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms

### Week 7: Problem Solving and Optimization

Day 43-44: Problem-Solving Techniques
- Backtracking, bit manipulation, and combinatorial problems

Day 45-46: Practice Competitive Programming
- Participate in contests on platforms like Codeforces or CodeChef

Day 47-48: Mock Interviews and Coding Challenges
- Simulate technical interviews
- Focus on time management and optimization

Day 49: Review and Revise
- Go through notes and previously solved problems
- Identify weak areas and work on them

### Week 8: Final Stretch and Project

Day 50-52: Build a Project
- Use your knowledge to build a substantial project in Python involving DSA concepts

Day 53-54: Code Review and Testing
- Refactor your project code
- Write tests for your project

Day 55-56: Final Practice
- Solve problems from previous contests or new challenging problems

Day 57-58: Documentation and Presentation
- Document your project and prepare a presentation or a detailed report

Day 59-60: Reflection and Future Plan
- Reflect on what you've learned
- Plan your next steps (advanced topics, more projects, etc.)

Best DSA RESOURCES: https://topmate.io/coding/886874

Credits: https://t.iss.one/free4unow_backup

ENJOY LEARNING 👍👍

Javascript 😂

Skills to become a successful web developer💯👨🏻‍💻

1. HTML/CSS Basics 📄🎨
Master the building blocks of the web.

2. JavaScript 💻⚡
Add interactivity and dynamic content to your sites.

3. Responsive Design 📱🌍
Ensure your sites look great on all devices!

4. Version Control (Git) 🛠️🔄
Track changes and collaborate with ease.

5. Frameworks (React, Angular, etc) 🚀🛠️
Speed up development with powerful tools.

6. Backend Languages (Node.js, Python, etc)🐍💻
Handle server-side logic and databases.

7. APIs 🔗📡
Connect and integrate with other services.

8. Problem-Solving Skills 🧩🤔
Tackle challenges creatively and efficiently.

9. Testing/Debugging 🔍🐞
Ensure your code runs smoothly and bug-free.

10. Soft Skills (Communication, Teamwork) 🗣️🤝
Work effectively with others and convey ideas clearly.

11. Continuous Learning 📚✨
Stay updated with the latest technologies and trends.

Web Development Best Resources: https://topmate.io/coding/930165

ENJOY LEARNING 👍👍

#webdev

Backend Development Roadmap

📃 Web Development Using
Node JS 🔰
&
Express JS 🔰

React ❤️ for more 📱

🖥 Top Programming Languages to learn in 2025 - [Part 1] 🖥


1. JavaScript
- learnjavascript.online
- https://t.iss.one/javascript_courses/1001
- learn-js.org

2. Java
- learnjavaonline.org
- javatpoint.com

3. C#
- learncs.org
- w3schools.com

4. TypeScript
- Typescriptlang.org
- learntypescript.dev

5. Rust
- rust-lang.org
- exercism.org

React Hooks: Making it easier to compose, reuse, and share React Codes.

What for what?

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HTML + CSS
Javascript
React
VueJs
Angular
Svelte

🔙 Backend:
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Python/Django
PHP/Laravel
Java
C#

💽 Database
MongoDB
MySQL
Postgres
Redis

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Electron
Tairi
PyQt

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Flutter
Swift
Kotlin

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Go
C++
Rust