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 097Followers

138Following

16 749Posts total

26.7KViews on collected posts

Son gönderiler

Python Coding ✓@clcoding9 Sep

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 Open on X →

Python Coding ✓@clcoding9 Sep

Are there any python modules that automatically generated a requirements.txt, given an entry point? 3.8K views · 5 likes · 1 reposts · 2 replies Open on X →

Python Coding ✓@clcoding9 Sep

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 Open on X →

Python Coding ✓@clcoding9 Sep

@clcoding here is the official link : https://t.co/eptBUuaaKs 105 views · 0 likes · 0 reposts · 0 replies Open on X →

Python Coding ✓@clcoding9 Sep

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 Open on X →

Python Coding ✓@clcoding9 Sep

@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 · 0 reposts · 0 replies Open on X →

Python Coding ✓@clcoding9 Sep

Answer with Explanation: https://t.co/26LeqEgiww 1.2K views · 6 likes · 1 reposts · 0 replies Open on X →

Python Coding ✓@clcoding9 Sep

What will be the output of the following Python code? x = {i: i % 3 for i in range(5)} print(x[2] + x[4]) 8.4K views · 24 likes · 3 reposts · 6 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 8 gönderi, 100K–1M takipçi aralığıyla yan yana. hem erişimde hem etkileşimde benzerlerinin altında.

Medyan görüntülenme2 531bu hesap4 254100K–1M için medyan

Erişim, %0.39%bu hesap1.66%100K–1M için medyan

Etkileşim, %0.33%bu hesap1.34%100K–1M için medyan

Ölçüt	Bu hesap	100K–1M için medyan	Oran
Gönderi başına medyan görüntülenme	2 531	4 254	0.59×
Erişim (görüntülenme ÷ takipçi)	0.39%	1.66%	0.23×
Etkileşim oranı	0.33%	1.34%	0.25×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

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

8.4K9 Sep

1.2K

7.5K

105

5.1K

3.8K

552

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.39%9 Sep

0.57%

4.94%

0.35%

0.00%

0.31%

0.21%

0.18%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.34%.

What the audience does

Likes51.9%70 in total

Reposts10.4%14 in total

Replies8.1%11 in total

Bookmarks29.6%40 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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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