Active channel: 171 posts in the index in 30 days, reach ≈1.7% of the audience, audience is stable, cited by 6 venues in 30 days.
9,603subscribers?±0 in a day · ±0 in a week · −5 in a month
Subscribers from the latest crawl of the venue. Growth is the difference with daily measurements collected since 29.09.2026. How we count →
166average post reach?
Average views of a channel post in 30 days, counting posts for which Telegram shows views. How we count →
1.7%ER — reach to subscribers?
ER = average post reach ÷ subscribers × 100%. Channels with 100+ subscribers and at least 3 posts in 30 days. How we count →
171posts in 30 days?
Channel posts in the search index over the last 30 days. Posts published as the channel are not indexed — these are author-signed ones. How we count →
6venues cited it in 30 days?13 all time
How many other venues forwarded its posts in 30 days; below — all time. Self-forwards are not counted. How we count →
#119 665catalog rank?#4 415 in category · #10 287 in language
Rank by the combined score: subscribers, activity, reach and citations. Below — rank in its category and language. How we count →
More metrics · 4
182post forwards in 30 days?
How many times the channel's posts were forwarded in 30 days, by Telegram's counter. How we count →
58reactions in 30 days?
Reactions to the venue's posts in 30 days. How we count →
4,183posts in the index?4,584 total in Telegram
The venue's posts in our index over its whole history; below — the number of the latest message in Telegram. How we count →
2020-04-25first post?
Date of the venue's earliest post in the index. How we count →
👨💻 IT & programming › Python🧩 Content feed👨💻 ProgrammingEnglishTech · channels in EnglishTelegram channels
Audience
Subscribers 9,603
history since 2026-09-29
2026-09-292026-10-29
07 days
−530 days
Audience checkhow we check
Usual trustof 100 · compared with 40,299 similar channels
⛔Post reachusual for channels of 1–10K: 19.2 %1.7 %
✅Forwards per 1,000 viewsusually 5.26.4
✅Spread of post viewsusually 0.27; flat views are a sign of bought views0.3
✅Quoted in 30 daysvenues that forwarded posts6
✅Subscriber growthbetween fresh measurementsno jumps
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Activity
Posts per day
max 13
2026-08-022026-10-30
Average post reach by day
max 1,320
2026-08-022026-10-30
When it posts (UTC, 90 days)
036912151821MoTuWeThFrSaSu
What it posts (90 days)
Best posts
Top posts in 30 days
Python Pattern Challenge — Day 16
Ready to sharpen your Python logic?
Today’s challenge focuses on pattern printing, a simple but powerful way to practice:
• Nested loops
• Logic building
• range()
• Spaces and formatt317 views · 2026-09-30 05:24 UTCPython Pattern Challenge — Day 15!
Ready for another pattern-building challenge?
Today's challenge is designed to sharpen your Python loops, nested loops, logic, and problem-solving skills.
👉 Try solving it yourself311 views · 1 forwards · 2026-09-28 13:32 UTCMastering Python for Artificial Intelligence
Want to build AI applications with Python?
This free 276-page PDF covers essential Python coding skills for Artificial Intelligence and helps you strengthen the programming 290 views · 2026-09-29 04:18 UTCDid you know? Python has a neat way to represent hexadecimal numbers!
Hexadecimal is especially useful when working with colors, memory addresses, bitwise operations, and low-level programming.
https://link.amazon/B01B288 views · 2026-09-30 01:16 UTCPython Coding Challenge — Day 1266
Can you predict the output of this Python code without running it?
Test your Python knowledge, improve your problem-solving skills, and challenge yourself every day.
🔗 Check out Day 275 views · 2026-09-29 07:57 UTC
Show 3 more
14 GitHub Profiles Every Python, Data Science & AI Developer Should Follow Want to learn from real-world code, projects, libraries, research, and open-source contributions? Here are 14 GitHub profiles worth exploring i275 views · 3 forwards · 2026-09-28 07:17 UTCSEPTEMBER DATA SCIENCE BOOTCAMP — DAY 20 & 21 MACHINE LEARNING IS HERE! We’re entering one of the most exciting phases of the September Data Science Bootcamp — Machine Learning! Day 20 & Day 21 Topic: Machine Lear271 views · 2026-09-28 12:27 UTCHarvard University: CS50's Introduction to Cybersecurity Learn the fundamentals of cybersecurity with Harvard University's CS50's Introduction to Cybersecurity. This course is designed for both technical and non-techni270 views · 1 forwards · 2026-09-29 17:38 UTCMost forwarded posts in 30 days
The channel's posts other venues forwarded most; the text comes from the forwarded copies.
Prime deals are live, and if you're a developer, this can be a good opportunity to upgrade your workspace, coding setup, and everyday tech accessories.
You don't need to buy everything just because it's discounted. Instforwarded by 4 venues · 2026-10-05 19:21 UTCMathematical Introduction to Deep Learning — FREE PDF!
Want to understand the mathematics behind Deep Learning?
This book explores the methods, implementations, and theoretical foundations that power modern deep learnforwarded by 2 venues · 2026-10-16 06:44 UTCTurn Python into Maps with GeoPandas!
Want to visualize India’s states using Python? GeoPandas makes geospatial data analysis and mapping surprisingly simple.
With just a few lines of code, you can:
Load geographic forwarded by 2 venues · 2026-09-28 03:13 UTC📘 Pen and Paper Exercises in Machine Learning — FREE PDF
Want to strengthen your Machine Learning fundamentals without relying only on coding?
This 211-page book is packed with pen-and-paper exercises designed to help forwarded by 2 venues · 2026-10-03 02:52 UTCIf you could choose only ONE tech ecosystem for the next 5 years, which would it be?
Apple — Premium design, seamless ecosystem, and powerful performance.
Samsung — Customization, flexibility, and a wide range of devicforwarded by 1 venue · 2026-10-22 18:34 UTC
Show 3 more
Python Quiz of the Day Python Coding Challenge - Question with Answer (ID 041026) Answer with Explanation: https://www.clcoding.com/2026/10/python-coding-challenge-id-041026.htmlforwarded by 1 venue · 2026-10-04 09:42 UTCDaily Python Question – Day 1263 Can you predict the output of this Python code? class Counter: def init(self): self.x = 0 def call(self): self.x += 2 return self.x c = Counter() prinforwarded by 1 venue · 2026-10-19 00:06 UTCDid You Know? Python Sets Support Mathematical Operations! Python sets make it easy to compare collections of unique values using powerful mathematical operations. Here are 4 essential set operations every Python develforwarded by 1 venue · 2026-10-21 02:40 UTCConnections with other venues
Cited by
Python - clcoding.com4,474 forwards · 714 membersmatlabcoding.com27 forwards · 6,065 membersAutonomy Tribe25 forwards · 63 subscribersMATLAB Coding | matlabcoding.com24 forwards · 10,756 subscribersMatlab | ماتلاب 🇵🇸🇸🇩19 forwards · 9,703 membersSabrina Wallace & PSInEnergist: Biofield PSI. Action & Investigation.16 forwards · 2,312 members
Cites
New Technology2 forwards · 847 subscribersMATLAB Coding | matlabcoding.com1 forwards · 10,756 subscribers
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