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Tech Junction

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𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗧𝗲𝗰𝗵 𝗝𝘂𝗻𝗰𝘁𝗶𝗼𝗻 ❤ 📚Get regular updates for : 📍 Technical Interviews 📍 Technical Resources 📍 Notes 📍 Internships 📍 Jobs and much more....✨ 👉 Join & Share this channel with your buddies and college mates ❤️

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Tech Junction (@tech_junction01) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 19 877 obunachidan iborat bo'lib, Taʼlim toifasida 10 107-o'rinni va Hindiston mintaqasida 21 785-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 19 877 obunachiga ega bo‘ldi.

21 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -174 ga, so‘nggi 24 soatda esa -3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 5.32% 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 0 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 0 ta reaksiya keladi.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗧𝗲𝗰𝗵 𝗝𝘂𝗻𝗰𝘁𝗶𝗼𝗻 ❤ 📚Get regular updates for : 📍 Technical Interviews 📍 Technical Resources 📍 Notes 📍 Internships 📍 Jobs and much more....✨ 👉 Join & Share this channel with your buddies and college mates ❤️

Yuqori yangilanish chastotasi (oxirgi ma’lumot 22 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

19 877
Obunachilar
-324 soatlar
-477 kunlar
-17430 kunlar
Postlar arxiv
30-step roadmap to learn Python for Data Analysis 😄👇 Days 1-5: Introduction to Python 1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook). 2. Day 2-5: Learn Python basics (variables, data types, and basic operations). Days 6-10: Control Flow and Functions 6. Day 6-8: Study control flow (if statements, loops). 9. Day 9-10: Learn about functions and modules in Python. Days 11-15: Data Structures 11. Day 11-12: Explore lists, tuples, and dictionaries. 13. Day 13-15: Study sets and string manipulation. Days 16-20: Libraries for Data Analysis 16. Day 16-17: Get familiar with NumPy for numerical operations. 18. Day 18-19: Dive into Pandas for data manipulation. 20. Day 20: Basic data visualization with Matplotlib. Days 21-25: Data Cleaning and Analysis 21. Day 21-22: Data cleaning and preprocessing using Pandas. 23. Day 23-25: Exploratory data analysis (EDA) techniques. Days 26-30: Advanced Topics 26. Day 26-27: Introduction to data visualization with Seaborn. 27. Day 28-29: Introduction to machine learning with Scikit-Learn. 30. Day 30: Create a small data analysis project. Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems. 📍Share with credits: https://t.me/Coding_Junction Hope it helps :)

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Top 56 Interview Questions Answers.pdf6.59 MB

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