Python Interviews
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
Show more📈 Analytical overview of Telegram channel Python Interviews
Channel Python Interviews (@pythoninterviews) in the English language segment is an active participant. Currently, the community unites 28 836 subscribers, ranking 4 615 in the Technologies & Applications category and 14 432 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 836 subscribers.
According to the latest data from 26 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 78 over the last 30 days and by -1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.43%. Within the first 24 hours after publication, content typically collects 0.57% reactions from the total number of subscribers.
- Post reach: On average, each post receives 701 views. Within the first day, a publication typically gains 163 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as |--, link:-, learning, sql, analytic.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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”
Thanks to the high frequency of updates (latest data received on 27 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
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.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 👍👍