How to master Python from scratch🚀

1. Setup and Basics 🏁
- Install Python 🖥️: Download Python and set it up.
- Hello, World! 🌍: Write your first Hello World program.

2. Basic Syntax 📜
- Variables and Data Types 📊: Learn about strings, integers, floats, and booleans.
- Control Structures 🔄: Understand if-else statements, for loops, and while loops.
- Functions 🛠️: Write reusable blocks of code.

3. Data Structures 📂
- Lists 📋: Manage collections of items.
- Dictionaries 📖: Store key-value pairs.
- Tuples 📦: Work with immutable sequences.
- Sets 🔢: Handle collections of unique items.

4. Modules and Packages 📦
- Standard Library 📚: Explore built-in modules.
- Third-Party Packages 🌐: Install and use packages with pip.

5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑

6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨‍👩‍👧

7. Web Development 🌐
- Flask 🍼: Start with a micro web framework.
- Django 🦄: Dive into a full-fledged web framework.

8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data manipulation and analysis.
- Matplotlib 📈 and Seaborn 📊: Data visualization.
- Scikit-learn 🤖: Machine learning.

9. Automation and Scripting 🤖
- Automate Tasks 🛠️: Use Python to automate repetitive tasks.
- APIs 🌐: Interact with web services.

10. Testing and Debugging 🐞
- Unit Testing 🧪: Write tests for your code.
- Debugging 🔍: Learn to debug efficiently.

11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy.

12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝

13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆

14. Keep Learning and Improving 📈
- Read Books 📖: Like "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow video courses and tutorials.
- Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars.

15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨‍🏫

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https://topmate.io/coding/898340

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ENJOY LEARNING👍👍

Harvard CS50 – Free Computer Science Course (2023 Edition)

Here are the lectures included in this course:

Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity

https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

Kaggle community for data science project discussion: @Kaggle_Group

Here is an A-Z list of essential programming concepts:

A - Algorithms
B - Boolean Logic
C - Control Structures
D - Data Structures
E - Encapsulation
F - Functions
G - Generics
H - High-level vs. Low-level Languages
I - Inheritance
J - JSON (JavaScript Object Notation)
K - Key-Value Pair
L - Loops
M - Modularity
N - Null Pointer
O - Object-Oriented Programming
P - Polymorphism
Q - Queue (Data Structure)
R - Recursion
S - Sorting Algorithms
T - Time Complexity
U - Unit Testing
V - Variables
W - Web Development Basics
X - XML (eXtensible Markup Language)
Y - YAML (YAML Ain't Markup Language)
Z - Zero-Based Indexing

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The Ultimate Python Handwritten Notes 📝 🚀

React ❤️ for more

Best python github Repositories very helpful for beginners -

1. scikit-learn : https://github.com/scikit-learn

2. Flask : https://github.com/pallets/flask

3. Keras : https://github.com/keras-team/keras

4. Sentry : https://github.com/getsentry/sentry

5. Django : https://github.com/django/django

6. Ansible : https://github.com/ansible/ansible

7. Tornado : https://github.com/tornadoweb/tornado