Codehub

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Free Programming resources.

Malasia1 021 Tecnologías y Aplicaciones4 072...

📈 Análisis del canal de Telegram Codehub

El canal Codehub (@pythonadvisorai) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 33 520 suscriptores, ocupando la posición 4 072 en la categoría Tecnologías y Aplicaciones y el puesto 1 021 en la región Malasia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 33 520 suscriptores.

Según los últimos datos del 23 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -460, y en las últimas 24 horas de -15, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.55%. 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 1 525 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 4.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Free Programming resources.”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 24 junio, 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 Tecnologías y Aplicaciones.

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Suscriptores

-1524 horas

-927 días

-46030 días

1 525

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

4.55%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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Read “How One AI Tool Helped Me Get 4 Interview Calls in 30 Days (Without Applying to Hundreds of Jobs)“ by The AI Coder on Medium: https://medium.com/@vaishnavi.singh0324/how-one-ai-tool-helped-me-get-4-interview-calls-in-30-days-without-applying-to-hundreds-of-jobs-e362f4bb5190

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💻 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: https://www.instagram.com/aicodelab_?igsh=MWdrd2h5bjh5cm5ocQ== #coding #ai #programming #developers #webdev #ai_tools

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Don’t Forget to follow 🚀

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🚀 Python & AI related amazing articles daily on Medium! 💻 Latest Topic: “ I Built the Same AI Agent in 4 Python Frameworks. One Was Clearly Better. 🚀” 📖 Follow me on Medium for more useful tech content! 👉 https://medium.com/ai-in-plain-english/i-built-the-same-ai-agent-in-4-python-frameworks-one-was-clearly-better-8105bc9b32e7

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FREE IT CAREER GUIDANCE SESSION 📈 DOMAINS: AIML, DATASCIENCE, Full Stack 📊🤖💻 🗓 Date: 2 May 2026 ⏰ 5 PM (IST) 💻 Online 🌟Perks of Attending ✅ Live Q&A with IT Experts ✅ Tech & Non-Tech Career Paths Explained ✅ Insider Interview Preparation Tips, ✅ Surprise Bonus Gift Job Aspirants & working Professional can attend 👉 Register Now for FREE https://rebrand.ly/free-IT-Career-Guidance Limited Seats 🏃🏻‍♀️🏃🏻‍♀️ Hurry Up. 🤳🏼

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⛳📊 The Future of Full Stack Development: 2026 The tech world is evolving! Are you ready for the shift? Join exclusive workshop to master AI integration, secure coding, and the high-performance skills companies will demand. 📅 Date: April 09, 2026 ⏰ Time: 7:00 PM (90 Mins) 📜 Perks: Live Q&A + Participation Certificate who should attend? 🎓 Final year Students & Freshers 💼 Professionals upskilling or switching 💡 Anyone curious about tech Limited Seats 🔥 Register now: https://link.guvi.in/codehubb03095

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⛳📊 *The Future of Full Stack Development: 2026* The tech world is evolving! Are you ready for the shift? Join exclusive workshop to master AI integration, secure coding, and the high-performance skills companies will demand. 📅 *Date:* April 09, 2026 ⏰ *Time:* 7:00 PM (90 Mins) 📜 *Perks:* Live Q&A + Participation Certificate *Who should attend?* 🎓 Final year Students & Freshers 💼 Professionals upskilling or switching 💡 Anyone curious about tech Limited Seats 🔥 Register now: https://link.guvi.in/codehubb03095

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Click here:- https://buyfreecourse.com/my-python-app-now-has-an-ai-watchdog/

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🚀 FREE Data Science & ML Masterclass 🤖📊 Master Machine Learning → Deep Learning → LLMs in just 90 Minutes! 🗓 March 06, 2026⏰ 7:00 PM🌐 English 🎯 What You’ll Learn: ✅ ML Foundations & Learning Types ✅ Deep Learning Basics + Real-World Use Cases ✅ Rise of LLMs (like ChatGPT) 🤖 ✅ Hands-on Practice with No-Code Tools 🎓 + Live Q&A & Participation Certificate 👩‍🎓 Perfect For: Freshers | Working Professionals | Career Switchers ⚡ No prior experience needed! 🔥 Limited FREE seats Register Now! 👇 https://link.guvi.in/codehubb02968

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Draw heart using python 😍 Source code 👉https://t.me/codesshelp

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Hey everyone! Just launched a new Instagram page @aicodelab_ 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: @aicodelab_ 👉 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

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main2.py0.10 KB

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Repost from Codehub

python interview question with answer.pdf

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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? 🎓 Data Analyst Jobs: https://whatsapp.com/channel/0029Vb6r6218kyyQgBDNjm26 💬 Tap ❤️ for the detailed answers!

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💡 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!

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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)

*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!*