fa
Feedback
Python Interviews

Python Interviews

رفتن به کانال در Telegram

Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun

نمایش بیشتر

📈 تحلیل کانال تلگرام Python Interviews

کانال Python Interviews (@pythoninterviews) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 28 765 مشترک است و جایگاه 4 787 را در دسته فناوری و برنامه‌ها و رتبه 15 187 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 28 765 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 05 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 88 و در ۲۴ ساعت گذشته برابر 6 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 0.63% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.81% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 181 بازدید دریافت می‌کند. در اولین روز معمولاً 234 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند |--, link:-, learning, sql, analytic تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 07 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

28 765
مشترکین
+624 ساعت
+147 روز
+8830 روز
آرشیو پست ها
Ages of Operating Systems👨🏻‍💻😎 📂 Windows 11 (3 years old) 🪟 Windows 10 (8 years old) 🍎 macOS Yosemite (10 years old) 🐉 Kali Linux (11 years old) 💻 Windows 8 (12 years old) 🌐 Manjaro (11 years old) 💻 Windows 7 (14 years old) 🖥️ Windows Vista (17 years old) 🌿 Linux Mint (18 years old) 🐧 Ubuntu (20 years old) ⚙️ Fedora (20 years old) 🔧 OpenSUSE (20 years old) ⚙️ CentOS (20 years old) 🐧 Arch Linux (22 years old) 🍏 macOS (22 years old) 💻 Windows XP (23 years old) 🖥️ Windows 2000 (24 years old) 📱 Windows 98 (25 years old) 🌍 Windows 95 (28 years old) 💻 Windows 3.1 (29 years old) 🖥️ OS/2 (32 years old) 🐧 Debian (31 years old) 🔴 Red Hat Linux (30 years old) 🎮 AmigaOS (34 years old) 🖥️ Xenix (40 years old) 📀 VMS (44 years old) 💾 MS-DOS (42 years old) 💾 CP/M (49 years old) 🖥️ Unix (54 years old)

𝟳 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Master Data Analytics in 2025! These 7 FREE course
𝟳 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Master Data Analytics in 2025! These 7 FREE courses will help you master Power BI, Excel, SQL, and Data Fundamentals!   𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4iMlJXZ Enroll For FREE & Get Certified 🎓

Prepare for GATE: The Right Time is NOW! GeeksforGeeks brings you everything you need to crack GATE 2026 – 900+ live hours, 3
Prepare for GATE: The Right Time is NOW! GeeksforGeeks brings you everything you need to crack GATE 2026 – 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track. What’s inside?Live & recorded classes with India’s top educators ✔ 200+ mock tests to track your progress ✔ Study materials - PYQs, workbooks, formula book & more ✔ 1:1 mentorship & AI doubt resolution for instant support ✔ Interview prep for IITs & PSUs to help you land opportunities Learn from Experts Like: Satish Kumar Yadav – Trained 20K+ students Dr. Khaleel – Ph.D. in CS, 29+ years of experience Chandan Jha – Ex-ISRO, AIR 23 in GATE Vijay Kumar Agarwal – M.Tech (NIT), 13+ years of experience Sakshi Singhal – IIT Roorkee, AIR 56 CSIR-NET Shailendra Singh – GATE 99.24 percentile Devasane Mallesham – IIT Bombay, 13+ years of experience Use code UPSKILL30 to get an extra 30% OFF (Limited time only) 📌 Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/

photo content
+5

𝗜𝗺𝗽𝗿𝗲𝘀𝘀 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟱 𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀!😍 Want
𝗜𝗺𝗽𝗿𝗲𝘀𝘀 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟱 𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀!😍 Want to land a data analytics job? Showcase your SQL skills with real-world projects! 📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3FJzJDu Build your portfolio & stand out in job applications! Start today✅️

Complete Roadmap to Become a Java Developer: 1. Core Java (fundamentals of Java programming language) 2. Maven 3. Spring Core, Spring MVC, and Spring AOP 4. Spring Boot and REST APls (Restful Web Services) 5. Spring Data - JPA, Hibernate (with H2, MySQL, MongoDB and Redis) 6. Testing (JUnit 5, JPA Test, MockMVC, etc.) 7. Spring Security 8. Microservices and Spring Cloud 9. Docker and Kubernetes 10. Deployment of Spring Boot Apps on Cloud (AWS) 11. Optional - Serverless, Batch processing etc

𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀!😍 Want to stand out in your career? Soft skills are ju
𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀!😍 Want to stand out in your career? Soft skills are just as important as technical expertise! 🌟 Here are 3 FREE courses to help you communicate, negotiate, and present with confidence 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/41V1Yqi Tag someone who needs this boost! 🚀

Python Libraries and Frameworks
Python Libraries and Frameworks

𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗶𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 – 𝗗𝗼𝗻’𝘁 𝗠𝗶𝘀𝘀 𝗢𝘂𝘁!😍 Want to learn Data Science, AI, B
𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗶𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 – 𝗗𝗼𝗻’𝘁 𝗠𝗶𝘀𝘀 𝗢𝘂𝘁!😍 Want to learn Data Science, AI, Business, and more from Harvard University for FREE?🎯 This is your chance to gain Ivy League knowledge without spending a dime!🤩 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3FFFhPp 💡 Whether you’re a student, working professional, or just eager to learn— This is your golden opportunity!✅️

Master Python programming in 15 days with Free Resources 😄👇 Days 1-3: Introduction to Python - Day 1: Start by installing Python on your computer. - Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings). - Day 3: Explore Python's built-in functions and operators. Days 4-6: Control Structures - Day 4: Understand conditional statements (if, elif, else). - Day 5: Learn about loops (for and while) and iterators. - Day 6: Work on small projects to practice using conditionals and loops. Days 7-9: Data Structures - Day 7: Learn about lists and how to manipulate them. - Day 8: Explore dictionaries and sets. - Day 9: Understand tuples and lists comprehensions. Days 10-12: Functions and Modules - Day 10: Learn how to define functions in Python. - Day 11: Understand scope and global vs. local variables. - Day 12: Explore Python's module system and create your own modules. Days 13-15: Intermediate Concepts - Day 13: Work with file handling and I/O operations. - Day 14: Learn about exceptions and error handling. - Day 15: Explore more advanced topics like object-oriented programming and libraries such as NumPy, pandas, and Matplotlib. FREE RESOURCES TO LEARN PYTHON 👇 Microsoft course for Python: https://learn.microsoft.com/en-us/training/paths/beginner-python/ Python for data Science and Machine Learning: https://t.me/datasciencefree/69 Python Interview Questions & Answers: https://t.me/dsabooks/96 Harvard course for Python: http://cs50.harvard.edu/python/2022/ Freecodecamp Python course with certificate: https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course Join @free4unow_backup for more free courses ENJOY LEARNING👍👍

Hi guys 👋 Since many of you were asking me to send Free Product Management Session So I have come with a FREE Masterclass for you!! 👨🏻‍💻 👩🏻‍💻 Register here 👇👇 https://openinapp.link/sqb9y You'll also get free certificate after completing the masterclass This will help you to speed up your job hunting process 💪 Slots are free for limited time only - register fast Like for more free sessions ❤️ ENJOY LEARNING 👍👍

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘? 𝗛𝗲𝗿𝗲’𝘀 𝗛𝗼𝘄!😍 Learn AI from scratch with these 6 YouTube channels! �
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘? 𝗛𝗲𝗿𝗲’𝘀 𝗛𝗼𝘄!😍 Learn AI from scratch with these 6 YouTube channels! 🎯 💡Whether you’re a beginner or an AI enthusiast, these top AI experts will guide you through AI fundamentals, deep learning, and real-world applications 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4iIxCy8 📢 Start watching today and stay ahead in the AI revolution! 🚀

Data Analytics Project Ideas 💡
Data Analytics Project Ideas 💡

𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘!😍 Want to upskill in AI, Data Science, Web Development, or Ethical Hackin
𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘!😍 Want to upskill in AI, Data Science, Web Development, or Ethical Hacking?👋 These 7 full courses cover everything from beginner to advanced levels—and they’re all 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘!🎊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4bQ6FpS These resources will help you gain in-demand skills & boost your career in 2025!💫

Top 4 NoSQL Databases
Top 4 NoSQL Databases

𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊🚀 Want to master data analytics? Here are top fre
𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊🚀 Want to master data analytics? Here are top free courses, books, and certifications to help you get started with Power BI, Tableau, Python, and Excel. 𝐋𝐢𝐧𝐤👇 https://pdlink.in/41Fx3PW All The Best 💥

Programming, includes a more complex arrangement of processes of which coding is only one.
Programming, includes a more complex arrangement of processes of which coding is only one.

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗺𝗮𝘀𝘁𝗲𝗿 𝗘𝘅𝗰𝗲𝗹 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟳 𝗱𝗮𝘆𝘀? 📊 Here's a structured roadmap to help you go from beginner
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗺𝗮𝘀𝘁𝗲𝗿 𝗘𝘅𝗰𝗲𝗹 𝗶𝗻 𝗷𝘂𝘀𝘁 𝟳 𝗱𝗮𝘆𝘀? 📊 Here's a structured roadmap to help you go from beginner to pro in a week! Whether you're learning formulas, functions, or data visualization, this guide covers everything step by step. 𝐋𝐢𝐧𝐤👇 :- https://pdlink.in/43lzybE All The Best 💥

One of the best books to learn python

How to convert image to pdf in Python # Python3 program to convert image to pfd # using img2pdf library   # importing necessary libraries import img2pdf from PIL import Image import os   # storing image path img_path = "Input.png"   # storing pdf path pdf_path = "file_pdf.pdf"   # opening image image = Image.open(img_path)   # converting into chunks using img2pdf pdf_bytes = img2pdf.convert(image.filename)   # opening or creating pdf file file = open(pdf_path, "wb")   # writing pdf files with chunks file.write(pdf_bytes)   # closing image file image.close()   # closing pdf file file.close()   # output print("Successfully made pdf file") pip3 install pillow && pip3 install img2pdf