QRStudio.py
10.6 KB
QR STUDIO
A simple QR Tool with which you can create, edit, and decode QR codes instantly. Plus, you can upload any QR, modify its content, and generate a fresh one within seconds.
React for more π₯
A simple QR Tool with which you can create, edit, and decode QR codes instantly. Plus, you can upload any QR, modify its content, and generate a fresh one within seconds.
React for more π₯
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if i == 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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DSA in Python Handwritten Notes.pdf
22.4 MB
Handwritten DSA Notes in Python ππ
Perfect for quick revision and solid understanding!
β€οΈ React if you find it helpful β more coming soon!
Perfect for quick revision and solid understanding!
β€οΈ React if you find it helpful β more coming soon!
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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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1. AI-Powered Resume Screener
Skills: NLP, automation, real hiring use-case
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=NoPS2YruQ1Y
2. Web Scraping + Data Analysis Tool
Skills: Data extraction, automation, analytics
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=Wif4zLlruqo
β’ https://www.youtube.com/watch?v=Oo8-nEuDBkk
3. REST API Backend (Flask / FastAPI / Django)
Skills: Backend development, APIs, authentication
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=z3YMz-Gocmw
β’ https://www.youtube.com/watch?v=iWS9ogMPOI0
4. AI Chatbot using Python + APIs
Skills: AI integration, APIs, real-world AI usage
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=ECmnosLTLHc
β’ https://www.youtube.com/watch?v=q5HiD5PNuck
5. Automation Tool (Emails / Reports / Files)
Skills: Productivity automation, scripting
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=Oo8-nEuDBkk
β’ https://www.youtube.com/watch?v=Ew44dS0mw-E
Skills: NLP, automation, real hiring use-case
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=NoPS2YruQ1Y
2. Web Scraping + Data Analysis Tool
Skills: Data extraction, automation, analytics
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=Wif4zLlruqo
β’ https://www.youtube.com/watch?v=Oo8-nEuDBkk
3. REST API Backend (Flask / FastAPI / Django)
Skills: Backend development, APIs, authentication
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=z3YMz-Gocmw
β’ https://www.youtube.com/watch?v=iWS9ogMPOI0
4. AI Chatbot using Python + APIs
Skills: AI integration, APIs, real-world AI usage
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=ECmnosLTLHc
β’ https://www.youtube.com/watch?v=q5HiD5PNuck
5. Automation Tool (Emails / Reports / Files)
Skills: Productivity automation, scripting
πΊ YouTube References:
β’ https://www.youtube.com/watch?v=Oo8-nEuDBkk
β’ https://www.youtube.com/watch?v=Ew44dS0mw-E
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Data Analyst Roadmap π
π Python Basics
βπ Numpy & Pandas
βπ Data Cleaning
βπ Data Visualization (Matplotlib, Seaborn)
βπ SQL for Data Analysis
βπ Excel & Google Sheets
βπ Statistics for Analysis
βπ BI Tools (Power BI / Tableau)
βπ Real-World Projects
ββ Apply for Data Analyst Roles
β€οΈ React for More!
π Python Basics
βπ Numpy & Pandas
βπ Data Cleaning
βπ Data Visualization (Matplotlib, Seaborn)
βπ SQL for Data Analysis
βπ Excel & Google Sheets
βπ Statistics for Analysis
βπ BI Tools (Power BI / Tableau)
βπ Real-World Projects
ββ Apply for Data Analyst Roles
β€οΈ React for More!
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numbers = [1, 2, 3, 4]
numbers.append([5, 6])
print(len(numbers))
numbers.append([5, 6])
print(len(numbers))
Anonymous Quiz
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Complete Machine Learning Handwritten Notes (2).pdf
16 MB
Machine Learning Handwritten Notes π
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Youtube Downloder.zip
116.1 KB
Download YouTube playlists easily using Python.
This script shows how to set the best quality, save videos in an organized folder structure, and track progress in the terminal.
You can also use the same method for single videos or even build a simple GUI.
This script shows how to set the best quality, save videos in an organized folder structure, and track progress in the terminal.
You can also use the same method for single videos or even build a simple GUI.
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AI & ML DIGITAL NOTES.pdf
3.4 MB
AI & ML DIGITAL NOTES π
REACT β€οΈ For More βοΈ
REACT β€οΈ For More βοΈ
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