Python Learning
5.84K subscribers
546 photos
2 videos
85 files
120 links
Python learning resources

Beginner to advanced Python guides, cheatsheets, books and projects.

For data science, backend and automation.
Join πŸ‘‰ https://rebrand.ly/bigdatachannels

DMCA: @disclosure_bds
Contact: @mldatascientist
Download Telegram
Lambda.pdf
919.7 KB
Lambda Functions Explained
❀6
What's the output ?
❀4
Dear friends 😊,

I want 2026 to be a year of bonding, connections, and real conversations πŸ€—

For years, we have shared courses, resources, news, and knowledge. But I want to talk with you, ask questions, give answers, and learn together.

With over 10 years in data science, software engineering, and AI πŸ€“, I have built and shipped real world systems that generated millions of dollars. I have made mistakes, learned valuable lessons, and I am always happy to share my experience openly.

❓ Feel free to ask me anything 
Career, learning paths, real projects, tech decisions, or doubts.

This is why I am reminding you that each channel has its own discussion group
You can open it via
channel name β†’ Discuss button

or via the links below πŸ‘‡

πŸ“Œ Channels and their discussion groups

β€’ Free courses by Big Data Specialist 
β†’ linked discussion group

β€’ Data Science / ML / AI 
β†’ linked discussion group

β€’ GitHub Repositories 
β†’ linked discussion group

β€’ Coding Interview Preparation 
β†’ linked discussion group

β€’ Data Visualization 
β†’ linked discussion group

β€’ Python Learning 
β†’ linked discussion group

β€’ Tech News 
β†’ linked discussion group

β€’ Logic Quest 
β†’ linked discussion group

β€’ Data Science Research Papers 
β†’ linked discussion group

β€’ Web Development 
β†’ linked discussion group

β€’ AI Revolution 
β†’ linked discussion group

β€’ Talks with ChatGPT 
β†’ linked discussion group

β€’ Programming Memes 
β†’ linked discussion group

β€’ Code Comics 
β†’ linked discussion group

πŸ’¬ Join the conversations, ask questions, share your journey. 
Looking forward to connecting with you all πŸš€

I will share this message across all our channels so everyone can see it. Hope you do not mind πŸ™ 
See you in the discussions πŸ‘‹
❀5
String Operators in Python
❀4
Important Built-in Functions in Python
❀2
πŸ”°  4 Unique Steps to Become a Python Expert in 2026

1️⃣ Understand Python Internals:
Learn how Python handles memory (GIL), garbage collection, and optimize code performance.

✨ Example: Debugging a slow script by identifying memory leaks.

2️⃣ Leverage Async Programming:
Master async/await to build scalable and faster applications.

✨ Example: Using async to handle thousands of API requests without crashing.

3️⃣ Create & Publish Python Packages:
Build reusable libraries, document them, and share on PyPI.

✨ Example: Publishing your own data-cleaning toolkit for others to use.

4️⃣ Master Python for Emerging Tech:
Dive into areas like quantum computing (Qiskit) or AI (Hugging Face).


✨ Example: Building an AI chatbot with Hugging Face APIs.
❀4
Python Lambda Functions
❀5
πŸš€ Python Mastery Roadmap

1️⃣ Basics – Syntax, loops, functions, exceptions

2️⃣ DS & Algorithms – Arrays, stacks, recursion, sorting

3️⃣ Modules & Advanced – Lambdas, decorators, regex

4️⃣ OOP – Classes, inheritance, dunder methods

5️⃣ Packages & Comprehensions – pip, conda, list comps

6️⃣ Frameworks & Concurrency – Flask, FastAPI, threading

7️⃣ Pro Skills – Typing, Testing, Docs, Docker, CI/CD

🎯 Stay consistent, build projects, master Python.
❀6
Python String Formatting
❀4
List Comprehension in Python
❀2
9 Hard Truths About Learning Python
❀3
Forwarded from Programming Quiz Channel
In Python, what is the result of len("abc" * 3)?
Anonymous Quiz
22%
3
11%
6
60%
9
7%
12
10 Python Built-in Functions You Should Know
❀2
What's the output of the code snippet?
What's the output of the code snippet?
Introduction to Computer Science and Programming Using Python (MIT OCW)

This course teaches computational thinking and Python programming from the ground up. It is rigorous, university level, and excellent for developers who want strong fundamentals rather than just syntax. Completely FREE and highly respected course.

πŸ“š 12 lectures with assignments
⏰ Duration: 9–12 weeks
πŸƒβ€β™‚οΈ Self Paced
Created by πŸ‘¨β€πŸ«: MIT Professors
πŸ”— Course Link

#Python #ComputerScience #MIT
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ‘‰ Join @bigdataspecialist for more πŸ‘ˆ
❀2