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Python Interviews

Python Interviews

الذهاب إلى القناة على 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

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Python Interviews

تُعد قناة Python Interviews (@pythoninterviews) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 28 852 مشتركاً، محتلاً المرتبة 4 621 في فئة التكنولوجيات والتطبيقات والمرتبة 14 450 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 28 852 مشتركاً.

بحسب آخر البيانات بتاريخ 29 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 124، وفي آخر 24 ساعة بمقدار 8، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.82‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.56‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 813 مشاهدة. وخلال اليوم الأول يجمع عادةً 163 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل |--, link:-, learning, sql, analytic.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
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

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 30 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

28 852
المشتركون
+824 ساعات
+427 أيام
+12430 أيام
أرشيف المشاركات
Python Code to remove Image Background —————————————————————- from rembg import remove from PIL import Image image_path = 'Image Name' ## ---> Change to Image name output_image = 'ImageNew' ## ---> Change to new name your image input = Image.open(image_path) output = remove(input) output.save(output_image)

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python.pdf0.65 KB

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👍👍

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Steps to learn Data Structures and Algorithms (DSA) with Python 1. Learn Python: If you're not already familiar with Python, start by learning the basics of the language. There are many online resources and tutorials available for free. 2. Understand the Basics: Before diving into DSA, make sure you have a good grasp of Python's syntax, data types, and basic programming concepts. Use free resources from @dsabooks to help you in learning journey. 3. Pick Good Learning Resources: Choose a good book, online course, or tutorial series on DSA with Python. Most of the free stuff is already posted on the channel @crackingthecodinginterview 4. Data Structures: Begin with fundamental data structures like lists, arrays, stacks, queues, linked lists, trees, graphs, and hash tables. Understand their properties, operations, and when to use them. 5. Algorithms: Study common algorithms such as searching (binary search, linear search), sorting (quick sort, merge sort), and dynamic programming. Learn about their time and space complexity. 6. Practice: The key to mastering DSA is practice. Solve a wide variety of problems to apply your knowledge. Websites like LeetCode and HackerRank provide a vast collection of problems. 7. Analyze Complexity: Learn how to analyze the time and space complexity of algorithms. Big O notation is a crucial concept in DSA. 8. Implement Algorithms: Implement algorithms and data structures from scratch in Python. This hands-on experience will deepen your understanding. 9. Project Work: Apply DSA to real projects. This could be building a simple game, a small web app, or any software that requires efficient data handling. Check channel @programming_experts if you need project ideas. 10. Seek Help and Collaborate: Don't hesitate to ask for help when you're stuck. Engage in coding communities, forums, or collaborate with others to gain new insights. 11. Review and Revise: Periodically review what you've learned. Reinforce your understanding by revisiting data structures and algorithms you've studied. 12. Competitive Programming: Participate in competitive programming contests. They are a great way to test your skills and improve your problem-solving abilities. 13. Stay Updated: DSA is an ever-evolving field. Stay updated with the latest trends and algorithms. 14. Contribute to Open Source: Consider contributing to open source projects. It's a great way to apply your knowledge and work on real-world code. 15. Teach Others: Teaching what you've learned to others can deepen your understanding. You can create tutorials or mentor someone. Join @free4unow_backup for more free courses ENJOY LEARNING 👍👍

Python vs Javascript
Python vs Javascript

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Most Asked Interview Questions with Answers 💻✅
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Most Asked Interview Questions with Answers 💻✅

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Python Functions
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Python Functions

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Python String Methods
Python String Methods

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Python ✅
Python ✅

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