Python learning
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📈 Análisis del canal de Telegram Python learning
El canal Python learning (@python3learning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 23 279 suscriptores, ocupando la posición 8 465 en la categoría Educación y el puesto 18 081 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 23 279 suscriptores.
Según los últimos datos del 13 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -279, y en las últimas 24 horas de -18, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 8.45%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn python🔥”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 14 julio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
23 279
Suscriptores
-1824 horas
-537 días
-27930 días
Archivo de publicaciones
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🐍 Python 3.15 Changed More Than I Expected
I've been writing Python for years, and this release surprised me.
🔥 Faster performance
🔥 Better error messages
🔥 Cleaner syntax improvements
🔥 Developer experience upgrades
Most developers haven't noticed these changes yet.
https://medium.com/@vaishnavi.singh0324/python-3-15-changed-more-than-i-expected-and-ive-been-writing-python-for-8-years-a10af41bc6e4
23 279
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
23 279
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23 279
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
23 279
I Tested 5 Python ORMs. One Replaced SQLAlchemy Completely. 👇
https://medium.com/@atharvjaiswal56/i-tested-5-python-orms-one-replaced-sqlalchemy-completely-ca195b012d3b
23 279
I Tested 4 RAG Architectures. One Survived Production 👇
https://medium.com/ai-in-plain-english/i-tested-4-rag-architectures-one-survived-production-181f1a1111a6
23 279
I Tested 4 RAG Architectures. One Survived Production 👉🏻
https://medium.com/ai-in-plain-english/i-tested-4-rag-architectures-one-survived-production-181f1a1111a6
23 279
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#coding #ai #programming #developers #webdev #ai_tools
23 279
🚀 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 ❤️23 279
*FREE Data Analytics Workshop – Power BI & Tableau*
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Learn how to convert raw data into powerful dashboards using Power BI & Tableau. 📊
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23 279
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23 279
Python Projects with Source Code for Final Year
FREE SOURCE CODE LINK 🔗
Yearhttps://inprogrammer.com/python-projects-with-source-code-for-final-year/
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Hey everyone!
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If you enjoy my tech content here on Telegram, you’ll love the bite-sized visual content there.
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23 279
Repost from N/a
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?
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23 279
💡 25 VS Code Extensions Every Dev Should Try 💻
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✅ ChatGPT - CodeGPT
🔥 React “❤️” if you use VS Code daily!
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***
✅ *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)
is_prime() logic
– Uses list comprehension for concise filtering
– Prints list of all prime numbers
💬 *Tap ❤️ for more logic-building questions!*23 279
✅ *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)
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)?