LIVE INDEX·27,380 channels
06:09 UTC
Rank#299 in TechNo safety flags

📚Python Books

programming
Join Channel →t.me/pythonlbooks
Composite score
33.2/100

Cohort-normalised vs 1,421 tech channels.

Subscribers
33.5K
7d growth
-26
30d growth
-131
Last post
4 months ago
Tracked since
Jun 2026
Our read

What is 📚Python Books?

📚Python Books is a Telegram tech channel. The channel has 33.5K subscribers. It is covers topics including programming.

Score inputs · v3.2 · 5 componentsMETHODOLOGY →

What goes into the 33.2

×2.0Size
33.5K subs
×1.0Activity
15.1K views/post
×1.5Growth
-26 (7d)
×0.5Trust
Clear
×1.0Category fit
Tech
bars show each component's weight; values are this channel's inputsweighted, then scored out of 100
Activity · last 30 days

Channel activity.

Posts last 30d
3
Avg views/post
15.1K
Avg reactions
0
Last post
4 months ago
Subscriber growth · 71 days tracked

Subscriber growth · last 90 days

Subscribers now
33.5K
7-day change
-26
-0.1%
30-day change
-131
-0.4%
Period peak
34.0K
11 Jun 2026
Days tracked
71
since 07 Jun 2026
Trend
↘ Falling
over the period: -1.4%source: channel_history · daily

Similar channels.

Why these? Same category, neighbouring score band, 7d delta within ±5pp.

Frequently asked questions.

What is 📚Python Books?

📚Python Books is a Telegram tech channel. The channel has 33.5K subscribers. It is covers topics including programming.

How many subscribers does 📚Python Books have?

📚Python Books has 33.5K subscribers. It has lost 131 subscribers in the last 30 days.

How is 📚Python Books ranked?

📚Python Books is ranked #299 among Tech channels on Telegram Rankings, with a composite score of 33.2/100. Scores are cohort-normalised and recomputed every sync.

Is 📚Python Books legit?

📚Python Books carries no safety flags in our index, though it is not verified by Telegram. Treat unsolicited financial advice with caution.

How do I join 📚Python Books?

Open t.me/pythonlbooks in the Telegram app, or use the Join Channel button on this page. Telegram Rankings is an independent index and is not affiliated with 📚Python Books.

Data provenance
Last synced
2 days ago
Methodology
v3.2
Sync cadence
~20 min
Days tracked
71

Sources: Telegram MTProto (channel metadata, posts) · channel_history (daily subscriber snapshots). Composite score recomputed each sync against the tech cohort.