Python Hacks
ΠΡΡ ΠΎ ΡΠ·ΡΠΊΠ΅ Python ΠΏΡΠΎΡΡΡΠΌ ΡΠ·ΡΠΊΠΎΠΌ. ΠΠΎ Π²ΡΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ: @max_excel Π ΠΠ: vk.cc/cHhGJh
Show moreπ Analytical overview of Telegram channel Python Hacks
Channel Python Hacks (@python_secrets) in the Russian language segment is an active participant. Currently, the community unites 40 745 subscribers, ranking 3 177 in the Technologies & Applications category and 15 451 in the Russia region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 745 subscribers.
According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -291 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.34%. Within the first 24 hours after publication, content typically collects 2.47% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 360 views. Within the first day, a publication typically gains 1 007 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as excel, ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅, keysoft, ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡ, ΡΡΡΠΎΠΊΠ°.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βΠΡΡ ΠΎ ΡΠ·ΡΠΊΠ΅ Python ΠΏΡΠΎΡΡΡΠΌ ΡΠ·ΡΠΊΠΎΠΌ.
ΠΠΎ Π²ΡΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ: @max_excel
Π ΠΠ: vk.cc/cHhGJhβ
Thanks to the high frequency of updates (latest data received on 27 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
π Π Π°Π·Π±Π΅ΡΠ΅ΠΌ ΠΏΠΎΠ»Π½ΡΠΉ ΡΠΎΠ°Π΄ΠΌΠ°ΠΏ: ΡΡΠΎ ΡΡΠΈΡΡ, Π² ΠΊΠ°ΠΊΠΎΠΌ ΠΏΠΎΡΡΠ΄ΠΊΠ΅, Π΄ΠΎ ΠΊΠ°ΠΊΠΎΠ³ΠΎ ΡΡΠΎΠ²Π½Ρ; π ΠΠ°ΠΉΡΡ Π°ΠΊΠΈ ΡΡΡΠ΄ΠΎΡΡΡΡΠΎΠΉΡΡΠ²Π°: β ΠΠΎΠΊΠ°ΠΆΠ΅ΠΌ ΡΠ΅Π°Π»ΡΠ½ΡΠ΅ ΠΏΡΠΈΠΌΠ΅ΡΡ, ΠΊΠ°ΠΊ ΠΎΡΠΎΡΠΌΠΈΡΡ ΡΠ΅Π·ΡΠΌΠ΅ ΠΈ ΠΏΠΎΡΡΡΠΎΠ»ΠΈΠΎ, ΡΡΠΎΠ±Ρ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΡ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅; β ΠΠ±ΡΡΠ΄ΠΈΠΌ ΠΊΠ°ΠΊΠΈΠ΅ ΠΎΡΠΊΠ»ΠΈΠΊΠΈ ΡΠ°Π±ΠΎΡΠ°ΡΡ, Π° ΠΊΠ°ΠΊΠΈΠ΅ ΡΡΠ°Π·Ρ ΠΎΡΠΏΡΠ°Π²Π»ΡΡΡ Π² ΠΊΠΎΡΠ·ΠΈΠ½Ρ; β ΠΠ·Π½Π°Π½ΠΊΠ° Π½Π°ΠΉΠΌΠ°: ΠΈΠ½ΡΠ°ΠΉΠ΄Π΅ΡΡΠΊΠΈΠΉ Π²Π·Π³Π»ΡΠ΄ Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΎΡΠ±ΠΎΡΠ° π ΠΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅Ρ Π½ΠΈΠΊΠΈ Π΄Π»Ρ Π½ΠΎΠ²ΠΈΡΠΊΠΎΠ²: ΡΠ°Π·Π±Π΅ΡΡΠΌ, ΠΊΠ°ΠΊ ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠΈΡΠΎΠ²Π°ΡΡ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΠΊ ΠΎΠΏΡΡΠ° ΠΈ Π±ΡΡΡΡΠΎ Π·Π°ΠΊΡΡΠ²Π°ΡΡ ΠΏΡΠΎΠ±Π΅Π»Ρ Π² Π·Π½Π°Π½ΠΈΡΡ .π ΠΠ°ΠΆΠ½ΠΎ Π΄ΠΎΡΠΌΠΎΡΡΠ΅ΡΡ Π²Π΅Π±ΠΈΠ½Π°Ρ Π΄ΠΎ ΠΊΠΎΠ½ΡΠ°, ΡΡΠΎΠ±Ρ ΠΏΠΎΠ»ΡΡΠΈΡΡ Π±ΠΎΠ½ΡΡ ΠΎΡ Π½Π°Ρ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡΠ°Π½ΡΡΡ ΠΊΠ°ΡΡΠ΅ΡΡ. πΆΠΠ°ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°ΡΡΡΡ Π½Π° Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΡΠΉ Π²Π΅Π±ΠΈΠ½Π°Ρ
