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 👨‍🏫

I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340

Hope you'll like it

Like this post if you need more resources like this 👍❤️

Many people still aren't fully utilizing the power of Telegram.

There are numerous channels on Telegram that can help you find the latest job and internship opportunities?

Here are some of my top channel recommendations to help you get started 👇👇

Latest Jobs & Internships: https://t.iss.one/getjobss

Jobs Preparation Resources:
https://t.iss.one/jobinterviewsprep

Data Science Jobs:
https://t.iss.one/datasciencej

Interview Tips:
https://t.iss.one/Interview_Jobs

Data Analyst Jobs:
https://t.iss.one/jobs_SQL

AI Jobs:
https://t.iss.one/AIjobz

Remote Jobs:
https://t.iss.one/jobs_us_uk

FAANG Jobs:
https://t.iss.one/FAANGJob

Software Developer Jobs: https://t.iss.one/internshiptojobs

If you found this helpful, don’t forget to like, share, and follow for more resources that can boost your career journey!

Let me know if you know any other useful telegram channel

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

These concepts are fundamental to understanding and writing code effectively. They form the building blocks of programming knowledge and are essential for creating robust and efficient software solutions.

Join for more: https://t.iss.one/programming_guide

ENJOY LEARNING 👍👍