پایتون | Data Science | Machine Learning
◀️اینجا با تمرین و چالش با هم پایتون رو یاد می گیریم ⏮بانک اطلاعاتی پایتون پروژه / code/ cheat sheet +ویدیوهای آموزشی +کتابهای پایتون تبلیغات: @alloadv 🔁ادمین : @maryam3771
Show more📈 Analytical overview of Telegram channel پایتون | Data Science | Machine Learning
Channel پایتون | Data Science | Machine Learning (@python4all_pro) in the Farsi language segment is an active participant. Currently, the community unites 24 694 subscribers, ranking 5 515 in the Technologies & Applications category and 13 715 in the Iran region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 694 subscribers.
According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 596 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.81%. Within the first 24 hours after publication, content typically collects 2.09% reactions from the total number of subscribers.
- Post reach: On average, each post receives 941 views. Within the first day, a publication typically gains 515 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as مصنوعی, دنیا, آموزش, پایتون, وبینار.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“◀️اینجا با تمرین و چالش با هم پایتون رو یاد می گیریم
⏮بانک اطلاعاتی پایتون
پروژه / code/ cheat sheet
+ویدیوهای آموزشی
+کتابهای پایتون
تبلیغات:
@alloadv
🔁ادمین :
@maryam3771”
Thanks to the high frequency of updates (latest data received on 19 June, 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.
import subprocess
js_code = """
console.log("Hello, World!");
"""
with open("script.js", "w") as file:
file.write(js_code)
result = subprocess.run(["node", "script.js"], capture_output=True, text=True)
print(result.stdout)
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Store.parspajouhaan.comEasily extract audio from a video file using FFmpeg with Python!First, install the necessary module:
pip install ffmpeg-python
Then, use this script:
import ffmpeg
# https://t.me/LearnPython3
input_file = 'input.mp4'
output_file = 'output.mp3'
# Extract audio from the video
ffmpeg.input(input_file).output(output_file, format='mp3').run()
print('Audio extracted successfully!')
With ffmpeg-python, you can extract high-quality audio from your video files effortlessly.pip install litestar
Litestar offers data validation, dependency injection, ORM integration, authorization primitives, and much more that you need to get your applications up and running.
A simple example of using Litestar:
from litestar import Litestar, get
@get("/")
async def hello_world() -> str:
return "Hello, world!"
app = Litestar([hello_world])
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#Python_tricks
#python
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