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Python Interviews

Python Interviews

Kanalga Telegram’da o‘tish

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

Ko'proq ko'rsatish

📈 Telegram kanali Python Interviews analitikasi

Python Interviews (@pythoninterviews) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 836 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 615-o'rinni va Hindiston mintaqasida 14 432-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 28 836 obunachiga ega bo‘ldi.

26 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 78 ga, so‘nggi 24 soatda esa -1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.43% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.57% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 701 marta ko‘riladi; birinchi sutkada odatda 163 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent |--, link:-, learning, sql, analytic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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

Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Iyul, 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.

28 836
Obunachilar
-124 soatlar
+417 kunlar
+7830 kunlar
Postlar arxiv
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1. What data type is the variable rating = 4.9? A. Integer B. Float C. String D. Boolean Correct answer: B. 2. What does the input() function always return? A. Integer B. Float C. Boolean D. String Correct answer: D. 3. Which symbol is used to define a comment in Python? A. // B. /* */ C. # D. -- Correct answer: C. 4. What does course[-1] return for a non-empty string? A. First character B. Last character C. Second character D. Entire string Correct answer: B. 5. What is the result type of the / operator in Python? A. Integer B. Float C. Boolean D. String Correct answer: B. 6. Which operator is used for exponentiation? A. ^ B. * C. ** D. // Correct answer: C. 7. Which logical operator in Python negates a condition? A. and B. or C. not D. != Correct answer: C. 8. What does range(1, 5, 2) generate? A. 1, 2, 3, 4 B. 1, 3 C. 2, 4 D. 0, 2, 4 Correct answer: B. 9. Which list method removes the last item? A. remove() B. delete() C. pop() D. clear() Correct answer: C. 10. What is a tuple best described as? A. A mutable list B. A read-only list C. A key/value store D. A function container Correct answer: B. 11. Which dictionary method safely returns a default value if a key is missing? A. index() B. find() C. get() D. pop() Correct answer: C. 12. What is returned by a function that has no return statement? A. 0 B. False C. Empty string D. None Correct answer: D. 13. Which exception is raised when dividing by zero? A. ValueError B. TypeError C. ZeroDivisionError D. IndexError Correct answer: C. 14. What is the purpose of the __init__ method in a class? A. To delete objects B. To initialize objects C. To inherit methods D. To define modules Correct answer: B. 15. Which command installs a package from PyPI? A. python install openpyxl B. install pip openpyxl C. pip add openpyxl D. pip install openpyxl Correct answer: D.

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30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Best Programming Resources: https://topmate.io/coding/886839 ENJOY LEARNING 👍👍

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A comprehensive introduction to programming and computer science in Python covering: binary systems, algorithms, data structures, and problem-solving. From University of Vermont.

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