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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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šŸ“ˆ 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 40 411 subscribers, ranking 3 329 in the Technologies & Applications category and 9 294 in the India region.

šŸ“Š Audience metrics and dynamics

Since its creation on невіГомо, the project has demonstrated rapid growth, gathering an audience of 40 411 subscribers.

According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -298 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.48%. 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 0 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 0.
  • Thematic interests: Content is focused on key topics such as learning, analyst, framework, link:-, structure.

šŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
ā€œPython Interview Projects & Free Courses Admin: @Coderfunā€

Thanks to the high frequency of updates (latest data received on 30 October, 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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40 411
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āŒØļø Create a Progress Bar in Python
āŒØļø Create a Progress Bar in Python

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!šŸ‘† 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!šŸ‘āœŒļø

āŒØļø Grammar Correction using Python
āŒØļø Grammar Correction using Python

āŒØļø Encrypt PDF files using Python
āŒØļø Encrypt PDF files using Python

āŒØļø Video to GIF in Python
āŒØļø Video to GIF in Python

Complete Roadmap to learn DSA in 30 days Day 1-5: Introduction to Data Structures and Algorithms - Understand the importance of DSA in programming - Learn about different types of data structures (arrays, linked lists, stacks, queues, trees, graphs) - Study basic algorithms like searching and sorting Day 6-10: Arrays and Strings - Dive deeper into arrays and strings - Learn about common operations and algorithms on arrays and strings - Practice solving problems related to arrays and strings Day 11-15: Linked Lists - Study linked lists and their variations (singly linked list, doubly linked list, circular linked list) - Implement basic operations on linked lists - Solve problems involving linked lists Day 16-20: Stacks and Queues - Learn about stacks and queues and their applications - Implement stack and queue data structures - Solve problems using stacks and queues Day 21-25: Trees and Graphs - Study binary trees, binary search trees, AVL trees, heaps, and graphs - Understand traversal algorithms (inorder, preorder, postorder) for trees - Implement basic graph algorithms (DFS, BFS) - Solve problems related to trees and graphs Day 26-30: Advanced Topics - Study advanced data structures like hash tables, tries, segment trees - Learn about dynamic programming, backtracking, and divide and conquer algorithms - Practice solving complex problems that require a combination of data structures and algorithms Throughout the 30 days, make sure to practice regularly by solving coding problems on platforms like LeetCode, HackerRank, or Codeforces. Additionally, review your concepts regularly and seek out resources like online tutorials, textbooks, and study groups to deepen your understanding of DSA. 5⃣ Free DSA resources to crack coding interview šŸ‘‰ GeekforGeeks šŸ‘‰ Leetcode šŸ‘‰ Hackerrank šŸ‘‰ DSA Resources šŸ‘‰ FreeCodeCamp Join for more free resources: https://t.me/free4unow_backup ENJOY LEARNING šŸ‘šŸ‘

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āŒØļø Take Screenshots using Python
āŒØļø Take Screenshots using Python

Python Cheatsheet-4.pdf1.53 MB

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AI will create 97 Million jobs by 2025! As AI revolutionises industries and transforms job markets, staying ahead means maste
AI will create 97 Million jobs by 2025! As AI revolutionises industries and transforms job markets, staying ahead means mastering essential skills. Upskill with IIT Mandi's AI/ML course, taught by IIT professors, and secure : āœ… 24 Program Credits āœ… Assured Placement Assistance āœ… Live Lectures from IIT Mandi Professors So what are you waiting for? This is your chance to stay ahead! Apply now and secure your future: https://epcw.short.gy/DPK_DataScience_AIML

python pattern notes.pdf1.57 MB

Top 16 Python Projects
Top 16 Python Projects

āŒØļø List Comprehension in Python
āŒØļø List Comprehension in Python

āŒØļø Generate Barcode using Python
āŒØļø Generate Barcode using Python

Take Screenshots using Python
Take Screenshots using Python

šŸ–„ How to hide secret text inside an image using Python? Nothing complicated, you just need the Stegano library: # pip instal
šŸ–„ How to hide secret text inside an image using Python? Nothing complicated, you just need the Stegano library:
# pip install stegano

from stegano import lsb
secret = lsb.hide('image.png', 'very secret text')
secret.save('secret_image.png')

print(lsb.reveal('secret_image.png'))

āŒØļø Hide secret message in Image using Python
āŒØļø Hide secret message in Image using Python

Here are some of the most popular python project ideas: šŸ’” Simple Calculator Text-Based Adventure Game Number Guessing Game Password Generator Dice Rolling Simulator Mad Libs Generator Currency Converter Leap Year Checker Word Counter Quiz Program Email Slicer Rock-Paper-Scissors Game Web Scraper (Simple) Text Analyzer Interest Calculator Unit Converter Simple Drawing Program File Organizer BMI Calculator Tic-Tac-Toe Game To-Do List Application Inspirational Quote Generator Task Automation Script Simple Weather App Automate data cleaning and analysis (EDA) Sales analysis Sentiment analysis Price prediction Customer Segmentation Time series forecasting Image classification Spam email detection Credit card fraud detection Market basket analysis NLP, etc These are just starting points. Feel free to explore, combine ideas, and personalize your projects based on your interest and skills. šŸŽÆ