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

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 
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💬 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 👋

String Operators in Python

Important Built-in Functions in Python

🔰  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 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.

🚀 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.

9 Hard Truths About Learning Python

10 Python Built-in Functions You Should Know

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.

📚 12 lectures with assignments
⏰ Duration: 9–12 weeks
🏃‍♂️ Self Paced
Created by 👨‍🏫: MIT Professors
🔗 Course Link

#Python #ComputerScience #MIT
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉 Join @bigdataspecialist for more 👈

Pass by Object Reference in Python

Is Python pass-by-value or pass-by-reference? 

➡️ Actually, Python uses Pass by Object Reference.

That means:
The function receives a reference to the same object.

📌 Example: Mutable Object

def modify(lst):
    lst.append(4)

nums = [1, 2, 3]
modify(nums)

print(nums)

Output:
[1, 2, 3, 4]

👉 The original list changed 
Because the function received a reference 
to the SAME object in memory.


📌 Example: Immutable Object

def modify(x):
    x = x + 1
    print("Inside:", x)

num = 10
modify(num)

print("Outside:", num)

Output:
Inside: 11
Outside: 10

👉 Integer did not change 
Because integers are immutable 
Reassignment creates a new object.


🎯 Core Idea

• Functions receive object references 
• Mutable objects can be modified 
• Immutable objects create new objects 
• Python is NOT pure pass-by-value 
• Python is NOT pure pass-by-reference 

✅ It is Pass by Object Reference.

🧠 Garbage Collection & Reference Counting in Python

Python automatically manages memory. 
Objects are deleted when they are no longer used.

📌 Reference Counting

Every object tracks how many variables point to it. 
When the count becomes 0, it is removed.

a = [1, 2, 3]
b = a

del a
del b

Reference count:
a → 1
a, b → 2
after del → 0
Object deleted

📌 Circular Reference Problem

Two objects pointing to each other 
will never reach reference count 0.

class Node:
    def __init__(self):
        self.ref = None

a = Node()
b = Node()

a.ref = b
b.ref = a

del a
del b

Both objects still reference each other
Reference count ≠ 0

📌 Garbage Collector (GC)

Python’s GC:
• Detects unreachable cycles 
• Breaks circular references 
• Frees memory safely 

🎯 Core Idea

Reference Counting → Main mechanism 
GC → Handles circular references

What's the output of the code snippet?