Codehub

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Free Programming resources.

Ko'proq ko'rsatish

Malayziya1 021 Texnologiyalar & Aralashmalar4 072...

📈 Telegram kanali Codehub analitikasi

Codehub (@pythonadvisorai) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 33 520 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 072-o'rinni va Malayziya mintaqasida 1 021-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 33 520 obunachiga ega bo‘ldi.

23 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -460 ga, so‘nggi 24 soatda esa -15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 4.55% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 1 525 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Free Programming resources.”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 24 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

33 520

Obunachilar

-1524 soatlar

-927 kunlar

-46030 kunlar

1 525

Post ko'rishlar

Ma'lumot yo'q24 soatlar

Ma'lumot yo'q48 soatlar

4.55%

Muloqot nisbati

Ma'lumot yo'q

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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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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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*** ✅ *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!*