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
Mostrar más📈 Análisis del canal de Telegram Python Interviews
El canal Python Interviews (@pythoninterviews) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 28 836 suscriptores, ocupando la posición 4 615 en la categoría Tecnologías y Aplicaciones y el puesto 14 432 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 836 suscriptores.
Según los últimos datos del 26 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 78, y en las últimas 24 horas de -1, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.43%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.57% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 701 visualizaciones. En el primer día suele acumular 163 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- Intereses temáticos: El contenido se centra en temas clave como |--, link:-, learning, sql, analytic.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 27 julio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
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 👍👍