Python Learning
β 4974297878 ΠΠ±ΡΡΠ°ΡΡΠΈΠΉ ΠΊΠ°Π½Π°Π» ΠΏΠΎ Python Π‘ΡΡΠ»ΠΊΠ° Π΄Π»Ρ Π΄ΡΡΠ³Π° - https://t.me/+I7jrAQKR5xAyYTAy ΠΠΎ Π²ΡΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ @mascarov_valentin Π Π΅ΠΊΠ»Π°ΠΌΠ° Π½Π° Π±ΠΈΡΠΆΠ΅ - https://telega.in/c/Python_per_month
Show moreπ Analytical overview of Telegram channel Python Learning
Channel Python Learning (@python_per_month) in the Russian language segment is an active participant. Currently, the community unites 28 404 subscribers, ranking 4 610 in the Technologies & Applications category and 22 813 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 28 404 subscribers.
According to the latest data from 02 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -269 over the last 30 days and by -17 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.20%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 760 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 12.
- Thematic interests: Content is focused on key topics such as learning, ΡΡΡΠΎΠΊΠ°, ΠΌΠΎΠ΄ΡΠ»Ρ, ΡΠΎΠ±Π΅ΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅, zip.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
ββ 4974297878
ΠΠ±ΡΡΠ°ΡΡΠΈΠΉ ΠΊΠ°Π½Π°Π» ΠΏΠΎ Python
Π‘ΡΡΠ»ΠΊΠ° Π΄Π»Ρ Π΄ΡΡΠ³Π° - https://t.me/+I7jrAQKR5xAyYTAy
ΠΠΎ Π²ΡΠ΅ΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ @mascarov_valentin
Π Π΅ΠΊΠ»Π°ΠΌΠ° Π½Π° Π±ΠΈΡΠΆΠ΅ - https://telega.in/c/Python_per_monthβ
Thanks to the high frequency of updates (latest data received on 03 September, 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.
- Bokeh ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΡΠ΅Π½Ρ Π±ΡΡΡΡΠΎ ΡΡΡΠΎΠΈΡΡ ΡΠ»ΠΎΠΆΠ½ΡΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π³ΡΠ°ΡΠΈΠΊΠΈ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΡΠΎΡΡΡΡ
ΠΊΠΎΠΌΠ°Π½Π΄. ΠΠ½ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°Π΅Ρ Π²ΡΠ²ΠΎΠ΄ HTML, Π±Π»ΠΎΠΊΠ½ΠΎΡΠ° ΠΈΠ»ΠΈ ΡΠ΅ΡΠ²Π΅ΡΠ°.
- ΠΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ Bokeh ΠΌΠΎΠΆΠ½ΠΎ ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠΎΠ²Π°ΡΡ Π² ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ Flask ΠΈ Django ΠΈΠ»ΠΈ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ, Π½Π°ΠΏΠΈΡΠ°Π½Π½ΡΠ΅ Π² Π΄ΡΡΠ³ΠΈΡ
Π±ΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°Ρ
, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ matplotlib, seaborn, ggplot.
ΠΠΎΡΠ»Π΅ Π·Π°ΠΏΡΡΠΊΠ° ΡΡΠΎΠ³ΠΎ ΠΊΠΎΠ΄Π° Π±ΡΠ΄Π΅Ρ ΡΠΎΠ·Π΄Π°Π½ ΡΠ°ΠΉΠ» iris.html, ΠΊΠΎΡΠΎΡΡΠΉ ΠΌΠΎΠΆΠ½ΠΎ ΠΎΡΠΊΡΡΡΡ Π² Π²Π΅Π±-Π±ΡΠ°ΡΠ·Π΅ΡΠ΅. ΠΡ ΡΠ²ΠΈΠ΄ΠΈΡΠ΅ ΠΈΠ½ΡΠ΅ΡΠ°ΠΊΡΠΈΠ²Π½ΡΠΉ Π³ΡΠ°ΡΠΈΠΊ Ρ ΡΠΎΡΠΊΠ°ΠΌΠΈ, ΠΏΡΠΈ Π½Π°Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΠΊΡΡΡΠΎΡΠ° Π½Π° ΡΠΎΡΠΊΠΈ Π±ΡΠ΄ΡΡ ΠΎΡΠΎΠ±ΡΠ°ΠΆΠ°ΡΡΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΏΠΎΠ΄ΡΠΊΠ°Π·ΠΊΠΈ.difflib Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ get_close_matches, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠΉ Π² ΠΎΠ΄Π½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π½Π°ΠΉΡΠΈ ΠΏΠΎΡ
ΠΎΠΆΠΈΠ΅ ΡΡΡΠΎΠΊΠΈ.
ΠΠ΅ΡΠ²ΡΠΉ Π°ΡΠ³ΡΠΌΠ΅Π½Ρ β ΠΈΡΠΊΠΎΠΌΠ°Ρ ΡΡΡΠΎΠΊΠ°, Π²ΡΠΎΡΠΎΠΉ β ΡΠΏΠΈΡΠΎΠΊ, Π³Π΄Π΅ Π²ΡΠΏΠΎΠ»Π½ΡΠ΅ΡΡΡ ΠΏΠΎΠΈΡΠΊ. ΠΡΡ ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΡ Π½Π΅ΠΎΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΡΠΉ Π°ΡΠ³ΡΠΌΠ΅Π½Ρ n, Π·Π°Π΄Π°ΡΡΠΈΠΉ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠΈΡΠ»ΠΎ Π²ΠΎΠ·Π²ΡΠ°ΡΠ°Π΅ΠΌΡΡ
ΡΠΎΠ²ΠΏΠ°Π΄Π΅Π½ΠΈΠΉ.