Python Interviews

Open in Telegram

Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India15 162 Technologies & Applications4 796...

📈 Analytical overview of Telegram channel Python Interviews

Channel Python Interviews (@pythoninterviews) in the English language segment is an active participant. Currently, the community unites 28 762 subscribers, ranking 4 796 in the Technologies & Applications category and 15 162 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 762 subscribers.

According to the latest data from 08 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 59 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 0.57%. Within the first 24 hours after publication, content typically collects 0.81% reactions from the total number of subscribers.
Post reach: On average, each post receives 163 views. Within the first day, a publication typically gains 234 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 |--, link:-, learning, sql, analytic.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun”

Thanks to the high frequency of updates (latest data received on 09 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.

28 762

Subscribers

-1124 hours

+217 days

+5930 days

163

Post views

~ 23424 hours

~ 30148 hours

0.57%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

28 762

17_Day_17_Intermediate_The_Quiz_Project_&_the_Benefits_of_OOP.zip362.42 MB

28 762

16_Day_16_Intermediate_Object_Oriented_Programming_OOP.zip390.59 MB

28 762

15_Day_15_Intermediate_Local_Development_Environment_Setup_&_the.zip442.32 MB

28 762

14. Day 14 - Beginner - Higher Lower Game Project.zip293.62 MB

28 762

13_Day_13_Beginner_Debugging_How_to_Find_and_Fix_Errors_in_your.zip247.13 MB

28 762

12. Day 12 - Beginner - Scope & Number Guessing Game.zip264.40 MB

28 762

11. Day 11 - Beginner - The Blackjack Capstone Project.zip401.83 MB

28 762

10. Day 10 - Beginner - Functions with Outputs.zip372.14 MB

28 762

9_Day_9_Beginner_Dictionaries,_Nesting_and_the_Secret_Auction.zip399.25 MB

28 762

8_Day_8_Beginner_Function_Parameters_&_Caesar_Cipher.zip617.60 MB

28 762

4. Day 4 - Beginner - Randomisation and Python Lists.zip539.31 MB

28 762

3. Day 3 - Beginner - Control Flow and Logical Operators.zip582.76 MB

28 762

@programming_guide

28 762

100 Days of Code: Python Bootcamp

28 762

Why should you learn Python? - simple yet powerful - versatile - clean - beginner friendly - tremendous job opportunities - high demand - readability - awesome community - awesome ecosystem - web development - machine learning

28 762

ChatGPT can write code faster and seemingly better than many programmers. So will it replace software engineers anytime soon? The answer is No. Here are 4 reasons why: 👇 1) Currently, when doing programming tasks, ChatGPT outputs code. And is everybody able to grok, manipulate, and use code? No—only software engineers are. ChatGPT's current coding-related outputs are useless to the general population and need to be handled by SWEs. 2) ChatGPT has been proven to sometimes give incorrect answers, including buggy code. No sound business will risk getting rid of their SWEs in favor of an AI that can provably write buggy software. 3) ChatGPT currently struggles to successfully debug buggy code, even in simple, self-contained code blocks. We can imagine that this will remain especially true in large, complex codebases. You can't get rid of SWEs if you need them to debug your AI's code. 4) To build complex applications with ChatGPT, you need to give it complex prompts that inherently require some technical knowledge as well as "prompt engineering" prowess. Right now, SWEs are the best-equipped people to write these prompts. Instead of replacing software engineers, ChatGPT will serve as an amazing quality-of-life-improvement tool for them, helping them perform certain programming tasks much faster. If you're a SWE, you don't need to worry about ChatGPT—for now. (Credits: Unknown)

28 762

Data types are foundational in computing, and it's essential to understand them to work effectively in any programming environment. Let's take a dive into the top ten commonly used data types: 1. Integer (int): - Represents whole numbers. - Examples: -2, -1, 0, 1, 2, 3 2. Floating Point (float/double): - Represents numbers with decimals. - Examples: -2.5, 0.0, 3.14 3. Character (char): - Represents single characters. - Examples: 'A', 'b', '1', '%' 4. String: - Represents sequences of characters, basically text. - Examples: "Hello", "ChatGPT", "1234" 5. Boolean (bool): - Represents true or false values. - Examples: True, False 6. Array: - Represents a collection of elements, often of the same type. - Examples: [1, 2, 3], ["apple", "banana", "cherry"] 7. Object: - Used in object-oriented programming, represents a combination of data and methods to manipulate the data. - Examples: A Car object might have data like color and speed and methods like drive() and park(). 8. Date & Time: - Represents date and time values. - Examples: 23-10-2023, 12:30:45 9. Byte & Binary: - Represents raw binary data. - Examples: 01010101 (Byte), 101000111011 (Binary) 10. Enum: - Represents a set of named constants. - Examples: Days of the week (Monday, Tuesday...), Colors (Red, Blue, Green)

28 762

6 Websites To Practice Faster Typing Online... ⌨️ monkeytype.com ⌨️ keybr.com ⌨️ typings.gg ⌨️ farzher.com ⌨️ typingbolt.com ⌨️ typrx.com

28 762

Web Scraping in Python 🔸Scrapy is an open source and collaborative framework for extracting the data you need from websites. It gives you all the tools you need to efficiently extract data from websites, process them as you want, and store them in your preferred structure and format. Unlike BeautifulSoup, which you may have heard of, Scrapy is a tool specifically created for downloading, cleaning and saving data from the web and will help you end-to-end; whereas BeautifulSoup is a smaller package which will only help you get information out of webpages. ⚙️Installation

pip install scrapy

🔗Homepage 🔗GitHub 🔗[Tutorial] Making Web Crawlers Using Scrapy for Python #scrapy #web

28 762

Visualize code execution Have you ever had a hard time understanding what is going on in your code? Python Tutor's online coding environment allows you to write code and visualize frame-by-frame how it gets executed by the computer. Besides Python, It's also supports Java, C/C++, JavaScript and Ruby. Just pick a language, write some code, press the "Visualize Execution" button and you’ll be redirected to a page, where all the magic happens. 💫 🔗Python Tutor's homepage #tools