Infodeal Technologies Python and Django Developer Interview Questions and Answers for Experienced

Python developer is responsible for writing server-side web application logic.

• Develop and maintain server-side web applications using Python and Django

• Write reusable, testable, and efficient code

• Collaborate with cross-functional teams to identify and solve complex problems

• Implement security and data protection measures

• Optimize applications for maximum speed and scalability

• Stay up-to-date with emerging trends and techno

range returns a list of numbers while xrange returns an iterator object.

• range creates a list of numbers from start to end with a step size of 1.

• xrange returns an iterator object that generates numbers on the fly.

• range takes more memory as it creates a list while xrange is memory efficient.

• In Python 3, range is similar to xrange in Python 2.

Race condition occurs when multiple threads/processes access and modify shared data simultaneously.

• It can lead to unpredictable behavior and data corruption.

• Django provides thread-safe mechanisms like database transactions and caching to prevent race conditions.

• Example: If two users try to update the same record in the database at the same time, it can result in inconsistent data.

• Another example is when multiple reques...read more

Middleware is software that acts as a bridge between an application and its data.

• Middleware is used to handle requests and responses between the client and server.

• It can be used for authentication, caching, compression, and more.

• In Django, middleware is defined in settings.py and executed in order.

• Examples of middleware in Django include SessionMiddleware and CsrfViewMiddleware.

Yes, I have worked on various python projects including web development, data analysis and automation.

• Developed a web application using Django framework

• Automated data extraction and analysis using pandas library

• Created a chatbot using Python and Dialogflow API

• Implemented machine learning algorithms for predictive analysis

• Integrated Python scripts with other technologies like AWS and Docker

Variables are names given to memory locations while objects are instances of a class with attributes and methods.

• Variables are used to store values while objects are used to represent real-world entities.

• Variables can be reassigned to different values while objects have a fixed identity.

• Variables are created when they are assigned a value while objects are created using constructors.

• Variables can be of different data t...read more

Yes, init method is a special method in Python classes used to initialize objects.

• The init method is called automatically when an object is created from a class.

• It is used to set initial values for object attributes.

• The init method always takes the 'self' parameter as the first argument.

• Example: def __init__(self, name, age): self.name = name; self.age = age

• The init method can also be used to perform any other setup or

Inheritance is a way to create a new class by inheriting properties and methods from an existing class.

• It allows code reusability and saves time.

• Types of inheritance are single, multiple, multilevel, and hierarchical.

• Single inheritance involves inheriting properties and methods from a single parent class.

• Multiple inheritance involves inheriting properties and methods from multiple parent classes.

• Multilevel inheritance ...read more

Pickling is a way to serialize Python objects, while non-pickling refers to objects that cannot be pickled.

• Pickling is used to convert Python objects into a byte stream that can be stored or transmitted.

• Non-pickling objects are those that cannot be serialized using the pickle module.

• Examples of non-pickling objects include file objects, network sockets, and database connections.

• To make an object picklable, it must be a...read more

I have made various ML models including regression, classification, and clustering models.

• I have made regression models such as linear regression and polynomial regression to predict numerical values.

• I have made classification models such as logistic regression, decision trees, and random forests to classify data into different categories.

• I have made clustering models such as K-means clustering to group similar data po...read more

The logic of the program is to reverse a given string word by word without using any built-in function.

• Split the string into an array of words using whitespace as the delimiter.

• Iterate through the array of words in reverse order.

• Append each word to a new string, separated by a space.