Dear friends 😊,
I want 2026 to be a year of bonding, connections, and real conversations 🤗
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 🤓, 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
or via the links below 👇
📌 Channels and their discussion groups
• Free courses by Big Data Specialist
→ linked discussion group
• Data Science / ML / AI
→ linked discussion group
• GitHub Repositories
→ linked discussion group
• Coding Interview Preparation
→ linked discussion group
• Data Visualization
→ linked discussion group
• Python Learning
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• Tech News
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• Logic Quest
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• Data Science Research Papers
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• Web Development
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• AI Revolution
→ linked discussion group
• Talks with ChatGPT
→ linked discussion group
• Programming Memes
→ linked discussion group
• Code Comics
→ linked discussion group
💬 Join the conversations, ask questions, share your journey.
Looking forward to connecting with you all 🚀
I will share this message across all our channels so everyone can see it. Hope you do not mind 🙏
See you in the discussions 👋
I want 2026 to be a year of bonding, connections, and real conversations 🤗
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 🤓, 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 → Discuss button
or via the links below 👇
📌 Channels and their discussion groups
• Free courses by Big Data Specialist
→ linked discussion group
• Data Science / ML / AI
→ linked discussion group
• GitHub Repositories
→ linked discussion group
• Coding Interview Preparation
→ linked discussion group
• Data Visualization
→ linked discussion group
• Python Learning
→ linked discussion group
• Tech News
→ linked discussion group
• Logic Quest
→ linked discussion group
• Data Science Research Papers
→ linked discussion group
• Web Development
→ linked discussion group
• AI Revolution
→ linked discussion group
• Talks with ChatGPT
→ linked discussion group
• Programming Memes
→ linked discussion group
• Code Comics
→ linked discussion group
💬 Join the conversations, ask questions, share your journey.
Looking forward to connecting with you all 🚀
I will share this message across all our channels so everyone can see it. Hope you do not mind 🙏
See you in the discussions 👋
Telegram
Programming, data science, ML - free courses by Big Data Specialist
Programming, Data and AI learning
Free courses, roadmaps and study materials.
Python, data science, ML, big data, AI, web, system design.
Join 👉 https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatascientist
Free courses, roadmaps and study materials.
Python, data science, ML, big data, AI, web, system design.
Join 👉 https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatascientist
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🔰 4 Unique Steps to Become a Python Expert in 2026
1️⃣ Understand Python Internals:
✨ Example: Debugging a slow noscript by identifying memory leaks.
2️⃣ Leverage Async Programming:
✨ Example: Using async to handle thousands of API requests without crashing.
3️⃣ Create & Publish Python Packages:
✨ Example: Publishing your own data-cleaning toolkit for others to use.
4️⃣ Master Python for Emerging Tech:
✨ Example: Building an AI chatbot with Hugging Face APIs.
1️⃣ Understand Python Internals:
Learn how Python handles memory (GIL), garbage collection, and optimize code performance.
✨ Example: Debugging a slow noscript 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.
❤3
🚀 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.
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.
❤4
Forwarded from Programming Quiz Channel
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.
📚 12 lectures with assignments
⏰ Duration: 9–12 weeks
🏃♂️ Self Paced
Created by 👨🏫: MIT Professors
🔗 Course Link
#Python #ComputerScience #MIT
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉 Join @bigdataspecialist for more 👈
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.
📚 12 lectures with assignments
⏰ Duration: 9–12 weeks
🏃♂️ Self Paced
Created by 👨🏫: MIT Professors
🔗 Course Link
#Python #ComputerScience #MIT
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉 Join @bigdataspecialist for more 👈
MIT OpenCourseWare
Introduction to Computer Science and Programming in Python | Electrical Engineering and Computer Science | MIT OpenCourseWare
_6.0001 Introduction to Computer Science and Programming in Python_ is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students…
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