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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

⌨️ Encrypt PDF files using Python

40 804

⌨️ Video to GIF in Python

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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 👉 GeekforGeeks 👉 Leetcode 👉 Hackerrank 👉 DSA Resources 👉 FreeCodeCamp Join for more free resources: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

40 804

Repost from Python for Data Analysts

👉🏻 DO LIKE IF YOU WANT MORE CONTENT LIKE THIS FOR FREE 🆓

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⌨️ Take Screenshots using Python

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Python Cheatsheet-4.pdf1.53 MB

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✅ Best Telegram channels to get free coding & data science resources https://t.me/addlist/ID95piZJZa0wYzk5 ✅ Free Courses with Certificate: https://t.me/free4unow_backup

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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 : ✅ 24 Program Credits ✅ Assured Placement Assistance ✅ 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

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python pattern notes.pdf1.57 MB

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Top 16 Python Projects

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⌨️ List Comprehension in Python

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⌨️ Generate Barcode using Python

40 804

Take Screenshots using Python

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🖥 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'))

40 804

⌨️ Hide secret message in Image using Python

40 804

Here are some of the most popular python project ideas: 💡 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. 🎯

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fluent-python-2015-.pdf17.53 MB

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Join for more: https://t.me/learndataanalysis

40 804

Python Tip for the day: Use the "enumerate" function to iterate over a sequence and get the index of each element. Sometimes when you're iterating over a list or other sequence in Python, you need to keep track of the index of the current element. One way to do this is to use a counter variable and increment it on each iteration, but this can be tedious and error-prone. A better way to get the index of each element is to use the built-in "enumerate" function. The "enumerate" function takes an iterable (such as a list or tuple) as its argument and returns a sequence of (index, value) tuples, where "index" is the index of the current element and "value" is the value of the current element. Here's an example:

 Iterate over a list of strings and print each string with its index
strings = ['apple', 'banana', 'cherry', 'date']
for i, s in enumerate(strings):
    print(f"{i}: {s}")

In this example, we use the "enumerate" function to iterate over a list of strings. On each iteration, the "enumerate" function returns a tuple containing the index of the current string and the string itself. We use tuple unpacking to assign these values to the variables "i" and "s", and then print out the index and string on a separate line. The output of this code would be:

 apple
1: banana
2: cherry
3: date

Using the "enumerate" function can make your code more concise and easier to read, especially when you need to keep track of the index of each element in a sequence.