Python Beginner Roadmap 🐍

📂 Start Here
∟📂 Install Python & VS Code
∟📂 Learn How to Run Python Files

📂 Python Basics
∟📂 Variables & Data Types
∟📂 Input & Output
∟📂 Operators (Arithmetic, Comparison)
∟📂 if, else, elif
∟📂 for & while loops

📂 Data Structures
∟📂 Lists
∟📂 Tuples
∟📂 Sets
∟📂 Dictionaries

📂 Functions
∟📂 Defining & Calling Functions
∟📂 Arguments & Return Values

📂 Basic File Handling
∟📂 Read & Write to Files (.txt)

📂 Practice Projects
∟📌 Calculator
∟📌 Number Guessing Game
∟📌 To-Do List (store in file)

📂 ✅ Move to Next Level (Only After Basics)
∟📂 Learn Modules & Libraries
∟📂 Small Real-World Scripts

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HTTP Status Codes - Quick Cheat Sheet

✅ Success:

✅ 200 OK: Request completed successfully
🆕 201 Created: New resource has been created
📝 204 No Content: Successful, but nothing to return

🔁 Redirects:

🔀 301 Moved Permanently: Resource moved to a new URL
↪️ 302 Found: Temporary redirect
🧾 304 Not Modified: Use cached response

⚠️ Client Errors:

🙅 400 Bad Request: Invalid input
🪪 401 Unauthorized: Missing or invalid auth
🚫 403 Forbidden: Authenticated but not allowed
❓ 404 Not Found: Resource doesn’t exist
⏳ 408 Request Timeout: Client took too long
🧯 409 Conflict: Version/state conflict

🔥 Server Errors:

💥 500 Internal Server Error: Server crashed
🛠 502 Bad Gateway: Upstream server failed
🕸 503 Service Unavailable: Server overloaded / maintenance
⌛️ 504 Gateway Timeout: Upstream took too long

Pro Tips:

🎯 Return accurate status codes: don’t always default to 200/500
📦 Include structured error responses (code, message, details)
🛡 Don’t expose stack traces in production
⚡️ Pair 304 with ETag / If-None-Match for efficient caching

NumPy Notes

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💡 After you download and log in to this → you’ll get 5 invite codes in your profile (bottom-left).
📥 Please add your codes here for others to use: (Codes Sheet)

🤝 This is a community code-share — you share, others claim.
⏳ We’ll also drop our codes in batches of 10 at different times. First-come, first-served!

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Python Roadmap 🐍 (Beginner → Job)

📂 Syntax Basics
∟ Variables, Data Types
∟ Conditions & Loops

📂 Data Structures
∟ List, Tuple, Set, Dict
∟ Comprehensions

📂 Algorithms
∟ Searching & Sorting
∟ Recursion & Big-O

📂 OOP Concepts
∟ Class & Object
∟ Inheritance & Polymorphism

📂 Modules & Errors
∟ Import & pip
∟ try / except

📂 File Handling
∟ Read / Write Files
∟ CSV & JSON

📂 Networking
∟ APIs & Requests
∟ JSON Data

📂 Security Basics
∟ Password Hashing
∟ API Keys

📂 Practice & Projects
∟ Mini Programs
∟ Real Projects

∟✅ Job / Internship Ready

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Handwritten DSA Notes in Python 🐍📝

Perfect for quick revision and solid understanding!

❤️ React if you find it helpful – more coming soon!

Top 5 Open Data Sources for Machine Learning Projects

1. https://www.kaggle.com/
2. https://archive.ics.uci.edu/
3. https://www.openml.org/
4. https://datasetsearch.research.google.com/
5. https://github.com/

Core DSA Concepts Every Beginner Must Know ✨

🧱 Arrays
🔗 Linked Lists
📚 Stacks
📬 Queues
🌳 Trees
🕸 Graphs
🔍 Searching Algorithms
📊 Sorting Algorithms
🗂 Hashing (Dictionary / Set)
🔁 Recursion

DSA Handwritten Notes 🔗

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