HTTP Status Codes - Quick Cheat Sheet
β Success:
β 200 OK: Request completed successfully
π 201 Created: New resource has been created
π 204 No Content: Successful, but nothing to return
π Redirects:
π 301 Moved Permanently: Resource moved to a new URL
βͺοΈ 302 Found: Temporary redirect
π§Ύ 304 Not Modified: Use cached response
β οΈ Client Errors:
π 400 Bad Request: Invalid input
πͺͺ 401 Unauthorized: Missing or invalid auth
π« 403 Forbidden: Authenticated but not allowed
β 404 Not Found: Resource doesnβt exist
β³ 408 Request Timeout: Client took too long
π§― 409 Conflict: Version/state conflict
π₯ Server Errors:
π₯ 500 Internal Server Error: Server crashed
π 502 Bad Gateway: Upstream server failed
πΈ 503 Service Unavailable: Server overloaded / maintenance
βοΈ 504 Gateway Timeout: Upstream took too long
Pro Tips:
π― Return accurate status codes: donβt always default to 200/500
π¦ Include structured error responses (code, message, details)
π‘ Donβt expose stack traces in production
β‘οΈ Pair 304 with ETag / If-None-Match for efficient caching
β Success:
β 200 OK: Request completed successfully
π 201 Created: New resource has been created
π 204 No Content: Successful, but nothing to return
π Redirects:
π 301 Moved Permanently: Resource moved to a new URL
βͺοΈ 302 Found: Temporary redirect
π§Ύ 304 Not Modified: Use cached response
β οΈ Client Errors:
π 400 Bad Request: Invalid input
πͺͺ 401 Unauthorized: Missing or invalid auth
π« 403 Forbidden: Authenticated but not allowed
β 404 Not Found: Resource doesnβt exist
β³ 408 Request Timeout: Client took too long
π§― 409 Conflict: Version/state conflict
π₯ Server Errors:
π₯ 500 Internal Server Error: Server crashed
π 502 Bad Gateway: Upstream server failed
πΈ 503 Service Unavailable: Server overloaded / maintenance
βοΈ 504 Gateway Timeout: Upstream took too long
Pro Tips:
π― Return accurate status codes: donβt always default to 200/500
π¦ Include structured error responses (code, message, details)
π‘ Donβt expose stack traces in production
β‘οΈ Pair 304 with ETag / If-None-Match for efficient caching
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68%
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What's your current Python level?
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62%
Beginner π°
34%
Intermediate π€
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Advanced π
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What is the biggest challenge you face on GitHub?
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45%
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21%
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for i in range(1, 5):
if i == 3:
break print(i)
if i == 3:
break print(i)
Anonymous Quiz
57%
1 2
13%
1 2 3 4
8%
2 3
22%
Only 3
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Python Roadmap π (Beginner β Job)
π Syntax Basics
β Variables, Data Types
β Conditions & Loops
π Data Structures
β List, Tuple, Set, Dict
β Comprehensions
π Algorithms
β Searching & Sorting
β Recursion & Big-O
π OOP Concepts
β Class & Object
β Inheritance & Polymorphism
π Modules & Errors
β Import & pip
β try / except
π File Handling
β Read / Write Files
β CSV & JSON
π Networking
β APIs & Requests
β JSON Data
π Security Basics
β Password Hashing
β API Keys
π Practice & Projects
β Mini Programs
β Real Projects
ββ Job / Internship Ready
β€οΈ React for more Python roadmaps
πΎ Save this post
π€ Share with a beginner
π Syntax Basics
β Variables, Data Types
β Conditions & Loops
π Data Structures
β List, Tuple, Set, Dict
β Comprehensions
π Algorithms
β Searching & Sorting
β Recursion & Big-O
π OOP Concepts
β Class & Object
β Inheritance & Polymorphism
π Modules & Errors
β Import & pip
β try / except
π File Handling
β Read / Write Files
β CSV & JSON
π Networking
β APIs & Requests
β JSON Data
π Security Basics
β Password Hashing
β API Keys
π Practice & Projects
β Mini Programs
β Real Projects
ββ Job / Internship Ready
β€οΈ React for more Python roadmaps
πΎ Save this post
π€ Share with a beginner
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Handwritten DSA Notes in Python ππ
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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/
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/
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Core DSA Concepts Every Beginner Must Know β¨
π§± Arrays
π Linked Lists
π Stacks
π¬ Queues
π³ Trees
πΈ Graphs
π Searching Algorithms
π Sorting Algorithms
π Hashing (Dictionary / Set)
π Recursion
DSA Handwritten Notes π
React For More π
π§± Arrays
π Linked Lists
π Stacks
π¬ Queues
π³ Trees
πΈ Graphs
π Searching Algorithms
π Sorting Algorithms
π Hashing (Dictionary / Set)
π Recursion
DSA Handwritten Notes π
React For More π
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π§ DSA with Python Roadmap (Beginner β Interview)
π DSA Foundations
β What is DSA
β Time & Space Complexity
π Python for DSA
β Lists & Strings
β Set & Dictionary Usage
π Searching Algorithms
β Linear Search
β Binary Search
π Sorting Algorithms
β Bubble, Selection, Insertion
β Merge & Quick Sort
π Recursion Basics
β Base & Recursive Case
β Stack Memory
π Stack & Queue
β Stack using List
β Queue using Deque
π Linked List
β Singly & Doubly Linked List
β Slow & Fast Pointer
π Problem-Solving Patterns
β Two Pointer
β Sliding Window
π Hashing Techniques
β Frequency Count
β Subarray Problems
π Trees
β Binary Tree
β Tree Traversals
π Heap & Priority Queue
β Min / Max Heap
β Top-K Problems
π Graphs
β BFS & DFS
β Cycle Detection
π Dynamic Programming
β Memoization
β Tabulation
π Bit Manipulation
β Bitwise Operators
β Common Tricks
π Practice Strategy
β Beginner β Advanced Problems
β Revision & Mock Interviews
ββ Interview Ready
π Python Notes
β€οΈ React for more DSA Content
π DSA Foundations
β What is DSA
β Time & Space Complexity
π Python for DSA
β Lists & Strings
β Set & Dictionary Usage
π Searching Algorithms
β Linear Search
β Binary Search
π Sorting Algorithms
β Bubble, Selection, Insertion
β Merge & Quick Sort
π Recursion Basics
β Base & Recursive Case
β Stack Memory
π Stack & Queue
β Stack using List
β Queue using Deque
π Linked List
β Singly & Doubly Linked List
β Slow & Fast Pointer
π Problem-Solving Patterns
β Two Pointer
β Sliding Window
π Hashing Techniques
β Frequency Count
β Subarray Problems
π Trees
β Binary Tree
β Tree Traversals
π Heap & Priority Queue
β Min / Max Heap
β Top-K Problems
π Graphs
β BFS & DFS
β Cycle Detection
π Dynamic Programming
β Memoization
β Tabulation
π Bit Manipulation
β Bitwise Operators
β Common Tricks
π Practice Strategy
β Beginner β Advanced Problems
β Revision & Mock Interviews
ββ Interview Ready
π Python Notes
β€οΈ React for more DSA Content
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Python Projects to Get Hired
Below is a list of real-world Python projects with YouTube references to help you build and understand each one.
Below is a list of real-world Python projects with YouTube references to help you build and understand each one.
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