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 24 690 subscribers, ranking 5 500 in the Technologies & Applications category and 13 686 in the Iran region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 690 subscribers.
According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 618 over the last 30 days and by -4 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 1.93% reactions from the total number of subscribers.
- Post reach: On average, each post receives 825 views. Within the first day, a publication typically gains 477 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 21 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.
pip install pytube
from pytube import YouTube
# Specify the URL of the YouTube video
video_url = "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
# Create a YouTube object
yt = YouTube(video_url)
# Select the highest resolution stream
stream = yt.streams.get_highest_resolution()
# Define the output path for the downloaded video
output_path = "path/to/output/directory/"
# Download the video
stream.download(output_path)
print("Video downloaded successfully!")
2. Automate WhatsApp messages
pip install pywhatkit
import pywhatkit
# Set the target phone number (with country code) and the message
phone_number = "+1234567890"
message = "Hello, this is an automated WhatsApp message!"
# Schedule the message to be sent at a specific time (24-hour format)
hour = 13
minute = 30
# Send the scheduled message
pywhatkit.sendwhatmsg(phone_number, message, hour, minute)
3. Google search with Python
pip install googlesearch-python
from googlesearch import search
# Define the query you want to search
query = "Python programming"
# Specify the number of search results you want to retrieve
num_results = 5
# Perform the search and retrieve the results
search_results = search(query, num_results=num_results, lang='en')
# Print the search results
for result in search_results:
print(result)
4. Download Instagram posts
pip install instaloader
import instaloader
# Create an instance of Instaloader
loader = instaloader.Instaloader()
# Define the target Instagram profile
target_profile = "instagram"
# Download posts from the profile
loader.download_profile(target_profile, profile_pic=False, fast_update=True)
print("Posts downloaded successfully!")
5. Extract audio from video files
pip install moviepy
from moviepy.editor import VideoFileClip
# Define the path to the video file
video_path = "path/to/video/file.mp4"
# Create a VideoFileClip object
video_clip = VideoFileClip(video_path)
# Extract the audio from the video
audio_clip = video_clip.audio
# Define the output audio file path
output_audio_path = "path/to/output/audio/file.mp3"
# Write the audio to the output file
audio_clip.write_audiofile(output_audio_path)
# Close the clips
video_clip.close()
audio_clip.close()
print("Audio extracted successfully!")
#code
کانال آموزش پایتون برای همه ( از صفر تا 100)
👇
🆔 @Python4all_pro
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