Python learning
📈 Analytical overview of Telegram channel Python learning
Channel Python learning (@python3learning) in the English language segment is an active participant. Currently, the community unites 22 890 subscribers, ranking 8 592 in the Education category and 18 283 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 22 890 subscribers.
According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -259 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 6.20%. 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.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn python🔥”
Thanks to the high frequency of updates (latest data received on 26 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 Education category.
Data loading in progress...
| Date | Subscriber Growth | Mentions | Channels | |
| 26 August | +1 | |||
| 25 August | 0 | |||
| 24 August | 0 | |||
| 23 August | 0 | |||
| 22 August | 0 | |||
| 21 August | 0 | |||
| 20 August | 0 | |||
| 19 August | 0 | |||
| 18 August | 0 | |||
| 17 August | 0 | |||
| 16 August | 0 | |||
| 15 August | 0 | |||
| 14 August | 0 | |||
| 13 August | 0 | |||
| 12 August | 0 | |||
| 11 August | +1 | |||
| 10 August | 0 | |||
| 09 August | 0 | |||
| 08 August | +3 | |||
| 07 August | 0 | |||
| 06 August | +2 | |||
| 05 August | 0 | |||
| 04 August | 0 | |||
| 03 August | 0 | |||
| 02 August | +2 | |||
| 01 August | 0 |
| 2 | Read “Python 3.15 Changed More Than I Expected And I’ve Been Writing Python for 8 Years“ by The AI Coder on Medium:👇 https://medium.com/@vaishnavi.singh0324/python-3-15-changed-more-than-i-expected-and-ive-been-writing-python-for-8-years-a10af41bc6e4 | 102 |
| 3 | 📊 Software/ IT Career Guidance Masterclass
LEARN:
✅ A proven 90-day job preparation roadmap
✅ How top product companies hire
✅ Strategies for both Tech & Non-Tech roles
✅ Interview preparation & career growth insights
Time: 11 June 2026, 7:00 PM
Eligiblity
• Working Professionals (IT & Non-IT)
• Job Seekers & Career Switchers
Register for FREE
https://rebrand.ly/Free-IT-Career-Guidance26
⚡ Limited Slots Available | 1 003 |
| 4 | I Built an AI Agent in Python in Under 30 Minutes — Here’s Exactly How 👇
https://medium.com/ai-in-plain-english/i-built-an-ai-agent-in-python-in-under-30-minutes-heres-exactly-how-61196d2ab097 | 1 960 |
| 5 | I Tested 5 Python ORMs. One Replaced SQLAlchemy Completely. 👇
https://medium.com/@atharvjaiswal56/i-tested-5-python-orms-one-replaced-sqlalchemy-completely-ca195b012d3b | 2 349 |
| 6 | I Tested 4 RAG Architectures. One Survived Production 👇
https://medium.com/ai-in-plain-english/i-tested-4-rag-architectures-one-survived-production-181f1a1111a6 | 2 768 |
| 7 | I Tested 4 RAG Architectures. One Survived Production 👉🏻
https://medium.com/ai-in-plain-english/i-tested-4-rag-architectures-one-survived-production-181f1a1111a6 | 1 |
| 8 | 💻 AI Code Lab on Instagram 💻
🔥 Daily drops for developers leveling up with AI
📌 What you'll get:
✅ AI coding tricks & shortcuts
✅ Code snippets that actually work
✅ Tools to build faster with AI
✅ No fluff, just dev value
👉 Follow now: @aicodelab
#coding #ai #programming #developers #webdev #ai_tools | 2 901 |
| 9 | 🚀 Python Developers, This Changes Everything!
uv is replacing pip, venv, and even Poetry ⚡
Super fast package installs, virtual environments, and dependency management — all in ONE tool.
✅ 100x Faster Installs
✅ Simple Commands
✅ Better Developer Experience
✅ Perfect for Python Beginners & Pros
I wrote a detailed Medium article explaining everything in easy words 👇
👉 https://medium.com/@atharvjaiswal56/uv-replaced-pip-venv-and-poetry-100x-faster-installs-b6e8b2a35a1d
If you enjoy Python, AI & Dev content, follow me on Medium ❤️ | 2 966 |
| 10 | *FREE Data Analytics Workshop – Power BI & Tableau*
📅 18 March 2026
⏰ 7:00 PM | 90 Minutes
🌐 Language: English
Learn how to convert raw data into powerful dashboards using Power BI & Tableau. 📊
Eligibilty: Freshers & Working Professionals
📌 Register Now :
https://link.guvi.in/pythonlearning03022
Limited Seats 🤳🏼 Hurry up | 2 037 |
| 11 | 🚀 National Level Training + Internship (Online)
Powered by MNCs & IIT Hyderabad (IISM)
✅ Live Practical Training
✅ Real-Time Projects
✅ Placement Assistance
✅ 3 Certificates + LOR
🎓 Certified by IIT Hyderabad (IISM) & Talview
🎥 Lifetime LMS Access
🎁 Scholarship Available
👉 Use Code: IForge77
https://docs.google.com/forms/d/e/1FAIpQLSehqkU9qxXqCfG8iKriNsJfLQEFhSNT5ivvIR8QPyZmLsEt-Q/viewform | 532 |
| 12 | FREE FREE BONUS JOIN NOW 💰
https://t.me/ULTRAWIN247OFFICAL | 1 |
| 13 | Python Projects with Source Code for Final Year
FREE SOURCE CODE LINK 🔗
Yearhttps://inprogrammer.com/python-projects-with-source-code-for-final-year/ | 2 060 |
| 14 | Hey everyone!
Just launched a new Instagram page https://www.instagram.com/aicodelab_?igsh=d2o3MWFpYXJpdW1o where I’ll be sharing:
• Latest AI tools, trends & use-cases 🤖
• Clean code tips & best practices
• Short reels on programming concepts & productivity
• Real-world AI + coding project ideas
If you enjoy my tech content here on Telegram, you’ll love the bite-sized visual content there.
👉 Follow now: https://www.instagram.com/aicodelab_?igsh=d2o3MWFpYXJpdW1o
👉 Turn on notifications so you don’t miss new reels & posts.
Support this new journey by following, liking a few posts, and dropping your questions in the comments | 2 603 |
| 15 | 🚀 Assignment & Software Development Services 🚀
Struggling with college assignments or software projects?
I provide reliable, on-time, and high-quality solutions for students and professionals.
✅ College & University Assignments
✅ Mini & Major Projects
✅ Web & Software Development
✅ Programming Help (C, C++, Python, Java, JavaScript, PHP, etc.)
✅ Clean Code + Proper Documentation
✅ 100% Original Work
💯 Affordable pricing
⏱ Fast delivery
📚 Beginner to Advanced level support
📲 Contact on WhatsApp for instant support:
👉 https://wa.me/918358959964
Don’t miss deadlines — message now and get started. | 2 794 |
| 16 | Top 50 Data Analyst Interview Questions (2025) 🎯📊
1. What does a data analyst do?
2. Difference between data analyst, data scientist, and data engineer.
3. What are the key skills every data analyst must have?
4. Explain the data analysis process.
5. What is data wrangling or data cleaning?
6. How do you handle missing values?
7. What is the difference between structured and unstructured data?
8. How do you remove duplicates in a dataset?
9. What are the most common data types in Python or SQL?
10. What is the difference between INNER JOIN and LEFT JOIN?
11. Explain the concept of normalization in databases.
12. What are measures of central tendency?
13. What is standard deviation and why is it important?
14. Difference between variance and covariance.
15. What are outliers and how do you treat them?
16. What is hypothesis testing?
17. Explain p-value in simple terms.
18. What is correlation vs. causation?
19. How do you explain insights from a dashboard to non-technical stakeholders?
20. What tools do you use for data visualization?
21. Difference between Tableau and Power BI.
22. What is a pivot table?
23. How do you build a dashboard from scratch?
49. What do you do if data contradicts business intuition?
50. What are your favorite analytics tools and why?
🎓 Data Analyst Jobs:
https://whatsapp.com/channel/0029Vb6r6218kyyQgBDNjm26
💬 Tap ❤️ for the detailed answers! | 2 705 |
| 17 | 🎯 Free AI/ML Courses for Beginners 👇
1/ Free AI Courses (Great Learning)
https://www.mygreatlearning.com/ai/free-courses?utm_source=chatgpt.com
2/ AI Essentials (Google)
https://grow.google/ai-essentials/?utm_source=chatgpt.com
3/ AI for Beginners Curriculum (Microsoft)
https://microsoft.github.io/AI-For-Beginners/?utm_source=chatgpt.com
4/ Machine Learning Crash Course (Google)
https://developers.google.com/machine-learning/crash-course?utm_source=chatgpt.com
5/ AI for Students (IBM)
https://www.elementsofai.com/?utm_source=chatgpt.com | 2 707 |
| 18 | 💡 25 VS Code Extensions Every Dev Should Try 💻
✅ Prettier
✅ ESLint
✅ Live Server
✅ GitLens
✅ Auto Rename Tag
✅ IntelliCode
✅ Thunder Client
✅ Material Icon Theme
✅ Bracket Pair Colorizer
✅ REST Client
✅ Tailwind CSS IntelliSense
✅ Better Comments
✅ Path Intellisense
✅ Error Lens
✅ Code Spell Checker
✅ Docker
✅ Remote SSH
✅ Tabnine
✅ Import Cost
✅ Markdown All in One
✅ Color Highlight
✅ CodeSnap
✅ TODO Highlight
✅ Inline Fold
✅ ChatGPT - CodeGPT
🔥 React “❤️” if you use VS Code daily! | 2 366 |
| 19 | ***
✅ *Python Logic Building Interview Question* 🧠🐍
You have a list of numbers: nums = [3, 5, 7, 9, 12, 17, 20, 21]
*Question:*
Find and print all numbers in the list that are prime.
*Expected Output:* [3, 5, 7, 17]
*Python Code:* def is_prime(n):
if n < 2:
return False
for i in range(2, int(n**0.5) + 1):
if n % i == 0:
return False
return True
prime_nums = [n for n in nums if is_prime(n)]
print(prime_nums)
*Explanation:*
– Checks each number with is_prime() logic
– Uses list comprehension for concise filtering
– Prints list of all prime numbers
💬 *Tap ❤️ for more logic-building questions!* | 2 355 |
| 20 | ✅ *Python Scenario-Based Interview Question* 🧠🐍
You have a list: numbers = [1, 2, 3, 2, 4, 1, 5, 2]
*Question:*
Find the number that appears most frequently in the list.
*Expected Output:* 2
*Python Code:* from collections import Counter
most_common_num = Counter(numbers).most_common(1)[0][0]
print(most_common_num)
*Explanation:*
– Counter() counts occurrences of each element
– most_common(1) returns the most frequent item
– Access [0][0] to get just the number
💬 *Tap ❤️ for more bite-sized Python tips!*
***
Would you like the next one to be slightly more advanced (e.g., involving strings or list comprehensions)? | 2 003 |
