Python Coding ✓
@clcoding · Earth🌎 · joined 31 Oct 2020
Lets Learn #Python with tips and tricks. Free Python Course: https://t.co/l9NKxZWrh7 biz : pythonclcoding@gmail.com AI Community Partner. DM for Everything.
653 579Followers
152Following
16 975Posts total
752.7KViews on collected posts
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📄🐍 Create Stylish PDFs with Python!
With the ReportLab library, you can generate professional PDFs directly from Python — add custom fonts, headings, quotes, layouts, and more.
From simple documents to certificates, reports, invoices, and quote cards, Python can handle it https
2.5K views · 19 likes
· 1 reposts · 0 replies
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Convert a color name into its HEX code using Python!
With the webcolors library, you can easily convert names like Silver or Yellow into their corresponding color codes.
🐍 Simple Python + practical use case
💡 Great mini-project for beginners
Projects: https://t.co/ZF2AuKD3wx h
5.3K views · 21 likes
· 4 reposts · 3 replies
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🎬 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://t.co/RefbwlOfSW https://t.co/7aGD94npt7
6.6K views · 54 likes
· 7 reposts · 1 replies
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Most Python developers use for loops every day…
but don’t know what happens behind the scenes.
Here’s a simple visual guide to Python Iterators — from iter() and next() to StopIteration and custom iterators. 🐍👇 https://t.co/UWZsngZVxo
7.4K views · 33 likes
· 4 reposts · 6 replies
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What will be the output of the following Python code?
x = 4
f = lambda x: x + 2
print(f(3) + x)
14.1K views · 36 likes
· 8 reposts · 7 replies
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Download YouTube videos using Python https://t.co/9wzlkF4kXn
3K views · 17 likes
· 7 reposts · 0 replies
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Bayesian Reasoning and Machine Learning (Free PDF)
https://t.co/Cj75TfQPaT https://t.co/bkKoyXVuVH
4.7K views · 8 likes
· 0 reposts · 0 replies
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One viral video → 100 variations.
AI agents are changing how we create content. Instead of starting from scratch every time, you can turn a proven idea into an entire content engine.
This is where AI + creativity gets really interesting.
95.5K views · 16 likes
· 15 reposts · 15 replies
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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
• https
8.9K views · 86 likes
· 20 reposts · 2 replies
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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 https:
7K views · 19 likes
· 5 reposts · 0 replies
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🐍 Python Pattern Challenge — Day 5
Can you print this pattern using Python? 👇
🎯 Your challenge:
Write a Python program to generate this exact pattern.
Think about:
✅Nested loops
✅Spaces
✅* characters
✅Pattern logic
Best code wins!
Share your solution in the comments https:
2.2K views · 6 likes
· 1 reposts · 1 replies
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Does he claiming to OPENAI?
Because they are the founding members of AI.
4.8K views · 11 likes
· 1 reposts · 1 replies
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I have seen students from age 6+ are learning Python.
Does anyone from your family started so early?
In the USA. It’s looks like a compulsory for parents.
4.1K views · 5 likes
· 0 reposts · 0 replies
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What age people are more benefited using AI?
And Why?
4.3K views · 4 likes
· 2 reposts · 2 replies
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Dario Amodei Says AI Industry ‘Lied’ About Technology’s Risks
https://t.co/LNFEfoWQ8d https://t.co/mIjtUdRGJL
73.7K views · 302 likes
· 52 reposts · 57 replies
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Want to learn Data Analysis? Start with a free book!
Looking for a practical introduction to Data Analysis without getting overwhelmed by complex theory?
📘 A Portable Introduction to Data Analysis by Michael Bulmer is a great resource to explore the fundamentals of working http
2.3K views · 0 likes
· 0 reposts · 0 replies
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Same for Python.
it handle AI, Machine Learning , Deep Learning and many more.
4.4K views · 10 likes
· 1 reposts · 0 replies
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Remove Image Background in Python 🐍
Want to remove the background from an image using just a few lines of Python?
You can do it with the rembg library 👇
Python handles the background removal and saves the result as a transparent PNG.
No Photoshop. No complicated editing. htt
4.7K views · 33 likes
· 3 reposts · 0 replies
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Anthropic CEO calls for slowdown in the race to develop AI and acknowledges the risk that people may lose control of the technology. https://t.co/LVe4qHM6Ac https://t.co/m8i0dOLKX7
341.1K views · 1.5K likes
· 409 reposts · 211 replies
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AI coding agents can generate code faster than ever. The real challenge is giving them the right context and an independent review layer.
Qodo’s Agentic Toolbox brings codebase context, team rules, and independent review to agents like Claude Code, Codex, Kiro, and Cursor—before
552 views · 1 likes
· 0 reposts · 0 replies
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Are there any python modules that automatically generated a requirements.txt, given an entry point?
3.8K views · 5 likes
· 1 reposts · 2 replies
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September Data Science Bootcamp
Day 5 is all about Functions in Python — one of the most important concepts for writing clean, reusable, and maintainable code.
Join Free: https://t.co/jkTAKc2I3b
In today’s session, we’ll learn:
What are Python functions?
Defining and calling
5.1K views · 11 likes
· 3 reposts · 2 replies
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@clcoding here is the official link : https://t.co/eptBUuaaKs
105 views · 0 likes
· 0 reposts · 0 replies
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Google AI+ is free for students.
Duration: 1 Years
they can claim here.
https://t.co/qOyFhLcFDE https://t.co/QiE62rCrMr
7.5K views · 19 likes
· 6 reposts · 1 replies
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@clcoding 3. The comprehension maps each key i to i % 3, so x[2] is 2 and x[4] is 1 https://t.co/JPtoSzaxqk
81 views · 4 likes
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Answer with Explanation: https://t.co/26LeqEgiww
1.2K views · 6 likes
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Against accounts of the same size
31 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.
Median views4 835this account5 983median for 100K–1M
Reach, %0.74%this account1.49%median for 100K–1M
Engagement, %0.37%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 4 835 | 5 983 | 0.81× |
| Reach (views ÷ followers) | 0.74% | 1.49% | 0.50× |
| Engagement rate | 0.37% | 0.93% | 0.40× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
4.1K13 Sep
4.8K
5.2K
2.2K
7K14 Sep
8.9K
95.5K
4.7K
3K
14.1K15 Sep
7.4K
6.6K
5.3K
2.5K16 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.12%13 Sep
0.27%
0.19%
0.37%
0.34%14 Sep
1.22%
0.05%
0.17%
0.80%
0.37%15 Sep
0.58%
0.94%
0.53%
0.79%16 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes75.6%4 339 in total
Reposts11.6%668 in total
Replies8.1%466 in total
Quotes0.0%1 in total
Bookmarks4.6%266 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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