Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

Network:Data Analytics India10 047 Technologies & Applications3 337...

📈 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 40 926 subscribers, ranking 3 337 in the Technologies & Applications category and 10 047 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 926 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 175 over the last 30 days and by 29 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.03%. Within the first 24 hours after publication, content typically collects 0.77% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 649 views. Within the first day, a publication typically gains 314 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
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 07 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.

40 926

Subscribers

+2924 hours

+517 days

+17530 days

1 649

Post views

~ 31424 hours

~ 55048 hours

4.03%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

40 921

Building Modern GUIs with Tkinter and Python

40 921

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!👍✌️

40 921

Do you enjoy reading this channel? Perhaps you have thought about placing ads on it? To do this, follow three simple steps: 1) Sign up: https://telega.io/c/pythonfreebootcamp 2) Top up the balance in a convenient way 3) Create an advertising post If the topic of your post fits our channel, we will publish it with pleasure.

40 921

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}")

40 921

❌ THE MOST PRIVATE GROUP №1 ❌ They are robbing Crypto Exchanges for Millions of dollars! Yesterday profit = 50,000$+ 👉 https://t.me/+5YRwSjrwkCIwNDE1 👉 https://t.me/+5YRwSjrwkCIwNDE1 👉 https://t.me/+5YRwSjrwkCIwNDE1 Go fast! Only the first 1000 subs will be accepted! 👀🚀

40 921

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Essential Python Libraries for Data Analytics 😄👇 Python Free Resources: https://t.me/pythondevelopersindia 1. NumPy: - Efficient numerical operations and array manipulation. 2. Pandas: - Data manipulation and analysis with powerful data structures (DataFrame, Series). 3. Matplotlib: - 2D plotting library for creating visualizations. 4. Scikit-learn: - Machine learning toolkit for classification, regression, clustering, etc. 5. TensorFlow: - Open-source machine learning framework for building and deploying ML models. 6. PyTorch: - Deep learning library, particularly popular for neural network research. 7. Django: - High-level web framework for building robust, scalable web applications. 8. Flask: - Lightweight web framework for building smaller web applications and APIs. 9. Requests: - HTTP library for making HTTP requests. 10. Beautiful Soup: - Web scraping library for pulling data out of HTML and XML files. As a beginner, you can start with Pandas and Numpy libraries for data analysis. If you want to transition from Data Analyst to Data Scientist, then you can start applying ML libraries like Scikit-learn, Tensorflow, Pytorch, etc. in your data projects. Share with credits: https://t.me/sqlspecialist Hope it helps :)

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40 921

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40 921

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40 921

Tips to Merge two dictionary

boy={"ram":70,"Sundar":80}

girl={"riya":80,"Sonali":70}

student=boy | girl

print(student)

40 921

Scrap Image from bing using BeautifulSoup

import requests
from bs4 import BeautifulSoup as BSP

def split_url(url):
    return url.split('&')[0]

def get_image_urls(search_query):
    url = f"https://cn.bing.com/images/search?q={search_query}&first=1&cw=1177&ch=678"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        img_url = img.get('src2')
        if img_url and img_url.startswith('https://tse2.mm.bing.net/'):
            img_url = split_url(img_url)
            all_img.append(img_url)

    return all_img

print(get_image_urls("cat"))

sample response :

['https://tse2.mm.bing.net/th?q=Cat+Portrait', ...']

40 921

Scrap Image from google using BeautifulSoup

import requests
from bs4 import BeautifulSoup as BSP

def get_image_urls(search_query):
    url = f"https://www.google.com/search?q={search_query}&tbm=isch"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
    }
    rss = requests.get(url, headers=headers)
    soup = BSP(rss.content, "html.parser")

    all_img = []
    for img in soup.find_all('img'):
        src = img['src']
        if not src.endswith("gif"):
            all_img.append(src)

    return all_img

print(get_image_urls("boy"))

40 921

❌ PRIVATE GROUP №1 ❌ They are robbing Crypto Exchanges for Millions of dollars! Yesterday profit = 50,000$+ 👉 https://t.me/+BT9cWw0OJ644YWI1 👉 https://t.me/+BT9cWw0OJ644YWI1 👉 https://t.me/+BT9cWw0OJ644YWI1 Go fast! Only the first 1000 subs will be accepted! 👀🚀

40 921

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