Python Coding (CLCODING)
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Learn Python to automate your things. We are here to support you. Ask your question Reach us - info@clcoding.com https://whatsapp.com/channel/0029Va5BbiT9xVJXygonSX0G
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| Date | Subscriber Growth | Mentions | Channels | |
| 16 September | 0 | |||
| 15 September | +7 | |||
| 14 September | +4 | |||
| 13 September | +1 | |||
| 12 September | +12 | |||
| 11 September | 0 | |||
| 10 September | +6 | |||
| 09 September | +4 | |||
| 08 September | +10 | |||
| 07 September | +4 | |||
| 06 September | +3 | |||
| 05 September | +3 | |||
| 04 September | +4 | |||
| 03 September | +6 | |||
| 02 September | +7 | |||
| 01 September | +4 |
Channel Posts
🎬 Hacking in movies:
⌨️ “I’m breaking into the system…”
🐍 Behind the scenes:
Sometimes the “hacking” is just Python generating a ridiculously long random string. 🐍
Movies make it look complicated.
Python makes it look easy. 😎
https://link.amazon/B09prAxOx
| 2 |  🚀 135 Pages of Machine Learning Projects — FREE PDF!
Want to build real ML projects and improve your practical skills? 🤖
📘 Machine Learning Projects
📄 135 Pages
💻 Practical project ideas
🎯 Great for students & beginners
🆓 Free PDF Download
👉 Get it here: https://www.clcoding.com/2026/08/machine-learning-projects-free-pdf.html | 122 |
| 3 |  Python Quiz of the Day
Python Coding Challenge - Question with Answer (ID 150926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-150926.html | 167 |
| 4 |  🔊 PDF → Audio Converter
Convert any PDF into an audio file and listen to your documents instead of reading them.
Python libraries: PyPDF2 + gTTS
https://link.amazon/B0htRLxvy | 157 |
| 5 |  Python Coding challenge - Day 1244| What is the output of the following Python Code?
Detailed Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-day-1244-what.html | 182 |
| 6 |  Python Quiz of the Day.
Python Coding Challenge - Question with Answer (ID 140926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-140926.html | 217 |
| 7 |  Java vs Python: Which One Should You Learn? 🧑💻
Java and Python are both powerful programming languages, but they approach coding differently.
Here are 3 quick differences:
🔴 Java
• Generally more verbose
• Statically typed
• Semicolons are generally required
🔵 Python
• Usually fewer lines of code
• Dynamically typed
• Semicolons are not required
Neither language is “better” for everything. The right choice depends on your goals, projects, and career path.
Which do you prefer — Java or Python? 👇
Bootcamp: https://whatsapp.com/channel/0029Va5BbiT9xVJXygonSX0G | 205 |
| 8 |  6 Things to Check Before Buying a Laptop for Programming in 2026
• 16GB RAM
• Modern CPU
• 512GB SSD
• 14–16" FHD+ Display
• 64-bit
• Dedicated GPU Optional
Top Suggestions:
1. HP Pavilion 15" FHD Laptop 2026 https://link.amazon/B0771IEF7
2. Lenovo Laptop Computer V15 https://link.amazon/B041vmlzs | 199 |
| 9 |  September Data Science Bootcamp — Day 10
We’re going LIVE with Pandas Fundamentals!
In this session, we’ll learn the basics of Pandas and how it helps with real-world data analysis and manipulation.
What we’ll cover:
Pandas basics
DataFrames
Reading & writing CSV files
Exploring datasets
Data manipulation
Practical examples
Perfect for beginners who want to build strong foundations in Python & Data Science.
📅 Day 10: Pandas Fundamentals
🔴 Join the LIVE session:
https://youtube.com/live/z6PICX2J81E?feature=share
Learn. Practice. Build. Grow. | 189 |
| 10 |  Python Coding Challenge — Day 1241
What will be the output of the following Python code? 🐍
This one tests your understanding of contextlib.ExitStack, callback registration, and execution order.
Take a moment to predict the output before checking the answer.
Share your answer in the comments.
Then check the answer and explanation here:
https://www.clcoding.com/2026/09/python-coding-challenge-day-1241-what.html | 216 |
| 11 |  Free PDF: Data Cleaning and Exploration with Machine Learning
Want to work with cleaner, more reliable data for your machine learning projects?
This book, “Data Cleaning and Exploration with Machine Learning” by Michael Walker, explores practical machine learning techniques for cleaning and preparing data efficiently.
You’ll learn about:
Data cleaning and preprocessing
Handling messy and incomplete datasets
Data exploration techniques
Machine learning approaches for improving data quality
Practical techniques for preparing data for analysis and modeling
Download the PDF for free:
https://www.clcoding.com/2026/09/data-cleaning-and-exploration-with.html
A useful resource for Python developers, data analysts, data scientists, and machine learning enthusiasts looking to strengthen their data preparation skills. | 249 |
| 12 |  Happy Programmer’s Day!
Everyone wants to become a programmer…
but not everyone wants to spend hours actually coding!
Some come for the Coding Memes,
some come for the Coding.
But whether you write 100 lines of code or spend 2 hours fixing one missing bracket — today is your day!
Happy Programmer’s Day to all the coders, developers, students, and tech enthusiasts!
Keep coding. Keep learning. Keep debugging.
@pythonclcoding | 855 |
| 13 |  Python Quiz of the Day
Python Coding Challenge - Question with Answer (ID 130926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-130926.html | 218 |
| 14 |  SEPTEMBER DATA SCIENCE BOOTCAMP — DAY 9 IS LIVE!
Today we’re diving into NumPy for Computing
In this session, we’ll learn how NumPy makes data manipulation and numerical computing faster, simpler, and more powerful.
What you’ll learn:
✅ NumPy fundamentals
✅ Arrays & operations
✅ Vectorization
✅ Mathematical operations
✅ Linear algebra basics
✅ Practical examples for Data Science
🎥 Join the LIVE session: https://youtube.com/live/LcjnTMtX3OA?feature=share
Learn → Practice → Build → Grow | 233 |
| 15 |  September Data Science Bootcamp — Day 8
NUMPY FUNDAMENTALS
Ready to take your Python skills into Data Science?
In Day 8, we dive into NumPy — one of the most important Python libraries for numerical computing and data analysis.
In this session, learn:
• What is NumPy?
• Creating NumPy arrays
• 1D & 2D arrays
• Array indexing and slicing
• Array operations
• Shape, size and dimensions
• Useful NumPy functions
• Why NumPy is faster than Python lists
• Practical examples for Data Science
If you're learning Python, Data Science, AI, or Machine Learning, NumPy is a skill you shouldn't skip.
Watch Day 8 here:
https://youtube.com/live/TFDk3f4CYUc?feature=share
Learn. Practice. Build. | 307 |
| 16 |  Python Quiz of the Day.
Python Coding Challenge - Question with Answer (ID 120926)
Answer with Explanation: https://www.clcoding.com/2026/09/python-coding-challenge-id-120926.html | 287 |
| 17 |  Interactive Profile Dashboard with Streamlit
Build a personal profile dashboard where users can explore:
Projects: https://amzn.to/4hoi30F
Profile: Name, photo, bio, skills
About: Education, experience, achievements
Skills: Interactive skill bars or charts
Projects: Project cards with GitHub/demo links
Experience: Interactive timeline
Contact: Email and social links
Analytics: Skills, projects, experience, and other profile statistics
Tech Stack: Python + Streamlit + Pandas + Plotly | 330 |
| 18 | https://chat.whatsapp.com/LPxRJGoCr3hIFCu2nrBmHE?s=cl&p=i&mlu=4&ilr=4
BootCamp Group | 317 |
| 19 |  September Data Science Bootcamp | OOP Essentials
We’re LIVE on YouTube!
https://youtube.com/live/SeX9wHN88pE
Join us for an interactive session on Object-Oriented Programming (OOP) in Python.
Today’s focus: Classes, Objects & Constructors
Watch live, learn, practice, and build real Python skills. | 357 |
| 20 | t.me/pythonclcoding?direct | 342 |
