Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

Network:Data Analytics India9 408 Technologies & Applications3 176...

📈 Analytical overview of Telegram channel Python Projects & Free Books

Channel Python Projects & Free Books (@pythonfreebootcamp) in the English language segment is an active participant. Currently, the community unites 40 804 subscribers, ranking 3 176 in the Technologies & Applications category and 9 408 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 804 subscribers.

According to the latest data from 28 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -72 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.40%. 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 1 388 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 1.
Thematic interests: Content is focused on key topics such as learning, analyst, framework, link:-, structure.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Python Interview Projects & Free Courses Admin: @Coderfun”

Thanks to the high frequency of updates (latest data received on 29 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.

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40 804

Subscribers

No data24 hours

-547 days

-7230 days

1 388

Post views

No data24 hours

No data48 hours

3.40%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

40 802

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Scientific Python Lectures Gaël Varoquaux et al, 2024

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🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022 https://t.me/PythonInterviews/118 ⏱ 60 Hours 📦 230 Lessons At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps! Taught By: Dr. Angela Yu Download Full Course: https://t.me/PythonInterviews/118 Download All Courses: https://t.me/pythonfreebootcamp

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#ad

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Tip : Use the zip() function to iterate over multiple iterables simultaneously Example:

# Create two lists
names = ["John", "Mary", "Bob"]
ages = [30, 25, 40]

# Iterate over both lists using zip()
for name, age in zip(names, ages):
    print(f"{name} is {age} years old.")

Benefits: * Simplifies the process of iterating over multiple lists or tuples * Ensures that the elements from corresponding lists are aligned Language: Python

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Repost from Python for Data Analysts

Here are some essential Python Concepts for Data Analyst

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Building Modern GUIs with Tkinter and Python

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https://topmate.io/analyst/907371 If you're a job seeker, these well structured document resources will help you to know and learn all the real time Python Interview questions with their exact answer. folks who are having 0-4+ years of experience have cracked the interview using this guide! Please use the above link to avail them!👆 NOTE: -Most data aspirants hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it. Hope this helps in your job search journey... All the best!👍✌️

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Python code To download from Youtube ⚙

from pytube import YouTube

# Enter the YouTube video URL
url = "https://www.youtube.com/watch?v=dQw4w9WgXcQ"

# Create a YouTube object with the URL
yt = YouTube(url)

# Select the highest resolution video
video = yt.streams.get_highest_resolution()

# Set the output directory and filename
output_dir = "/storage/emulated/0/Documents/"
filename = yt.title+".mp4"

# Download the video
video.download(output_dir, filename)

print(f"Download complete: {filename}")