Wissen Technology Python and Django Developer Interview Questions and Answers

Q1. What is List Comprehension
Ans. 
List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.
• Syntax: [expression for item in iterable]

• Can include conditions: [expression for item in iterable if condition]

• Can be nested: [[i*j for j in range(1, 4)] for i in range(1, 4)]

• Can be used to create new lists from existing lists efficiently
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Q2. What are the types of Serializers in Django
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Types of Serializers in Django include ModelSerializer, Serializer, and HyperlinkedModelSerializer.
• ModelSerializer: Used to serialize Django model instances.

• Serializer: Generic serializer class for custom data serialization.

• HyperlinkedModelSerializer: Includes hyperlinks to related resources in the serialized data.
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Q1. Python native data types and data structures
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Q2. Filter, reduce, lambda, yield, return, constants
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Q3. OOPS, builtIn libraries
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Q4. Django: Architecture, ORM, Queries, Relations, Middleware, Sessions, forms
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Q5. DRF: Serializers, Request methods, Viewsets
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Q6. Database: DDL, DML, DQL Operators, Joins, clauses, Naormal forms, Relations
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Q1. Django: Files created by Django, Authentication, Tokens, Content Types, Tests
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Q2. DRF: Writing API, Viewsets, Class-based views, API Router
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Q3. Microservices, web services, REST API, MVT, MVC
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Q4. GIT: Branch, Push, Pull, Clone, fetch, revert, stash
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Q5. Decorators, Higher-order functions, Special methods, Threading and synchronization
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Q1. SQL database questions
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Q1. About Selenium Xpath
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Q2. About Pytest fixtures
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Q3. SQL distinct and count
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Q1. Past project related questions
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Q2. Python and sql queries
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Waiting for l2 round

Simple python programming concepts

Q1. Basic System design of inter service communication in transactional systems.
Ans. 
Inter service communication in transactional systems involves designing a reliable and efficient way for services to communicate and exchange data.
• Use asynchronous messaging systems like RabbitMQ or Kafka to decouple services and ensure reliable message delivery.

• Implement RESTful APIs for synchronous communication between services, using HTTP methods like GET, POST, PUT, DELETE.

• Consider using gRPC for high-performance,...read more
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Q2. Loading and processing a file with huge data volume
Ans. 
Use pandas library for efficient loading and processing of large files in Python.
• Use pandas read_csv() function with chunksize parameter to load large files in chunks.

• Optimize memory usage by specifying data types for columns in read_csv() function.

• Use pandas DataFrame methods like groupby(), merge(), and apply() for efficient data processing.

• Consider using Dask library for parallel processing of large datasets.

• Use gen...read more
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Q1. Simple logical question like sorting and some list based question
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Prepare coding with some therotical question