Python Software Developer

100+ Python Software Developer Interview Questions and Answers

Updated 26 Feb 2025

Q51. Why pandas used in data manipulation

Ans.

Pandas is used in data manipulation due to its ability to handle large datasets, perform data cleaning, and provide powerful data analysis tools.

  • Pandas provides a DataFrame object that allows for easy manipulation of tabular data

  • It can handle missing data and perform data cleaning operations

  • Pandas has powerful data analysis tools such as grouping, filtering, and merging

  • It can handle large datasets efficiently

  • Pandas integrates well with other Python libraries such as NumPy and...read more

Q52. What is python?

Ans.

Python is a high-level, interpreted programming language known for its simplicity and readability.

  • Python is dynamically typed and garbage-collected.

  • It supports multiple programming paradigms like procedural, object-oriented, and functional programming.

  • Python has a large standard library and a thriving community of developers.

  • Example: print('Hello, World!')

Frequently asked in,

Q53. What is __init__ and __init__.py

Ans.

The __init__ method is a special method in Python classes used for initializing new objects. __init__.py is a special file used to define a package in Python.

  • The __init__ method is called when a new object is created from a class and is used to initialize the object's attributes.

  • __init__.py is a special file used to define a package in Python. It can be empty or contain initialization code for the package.

  • The __init__.py file is used to indicate to Python that a directory is ...read more

Q54. difference between generator and iterator, find 3 highest salaried employeed

Ans.

Generators are functions that return an iterator, while iterators are objects that can be iterated over. To find 3 highest salaried employees, sort the employees by salary and select the top 3.

  • Generators are functions that use yield keyword to return data one at a time, while iterators are objects that implement __iter__ and __next__ methods.

  • To find 3 highest salaried employees, sort the employees by salary in descending order and select the first 3.

  • Example: employees = [{'na...read more

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Q55. Remove duplicates from the table.

Ans.

Use SQL query with DISTINCT keyword to remove duplicates from the table.

  • Use SELECT DISTINCT column_name FROM table_name to retrieve unique values from a specific column.

  • Use DELETE FROM table_name WHERE column_name IN (SELECT column_name FROM table_name GROUP BY column_name HAVING COUNT(*) > 1) to remove duplicates from the table.

Q56. How Docker works

Ans.

Docker is a platform that allows you to package, distribute, and run applications in containers.

  • Docker uses containerization technology to create isolated environments for applications to run in

  • Containers share the host OS kernel but have their own filesystem and resources

  • Docker images are used to create containers, which can be easily distributed and run on any system

  • Docker uses a client-server architecture with a daemon running on the host machine

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Q57. Create a video analysis using yolo on given video

Ans.

Use YOLO for video analysis to detect objects in a given video.

  • Install YOLO and necessary dependencies for video analysis

  • Preprocess the video frames for object detection

  • Run YOLO on each frame to detect objects

  • Draw bounding boxes around detected objects

  • Analyze the results and track objects if needed

Q58. What is context manager in python

Ans.

Context managers in Python are objects that enable the execution of code within a specific context, typically used with the 'with' statement.

  • Context managers are implemented using the __enter__() and __exit__() methods.

  • They are commonly used for resource management, such as file handling or database connections.

  • The 'with' statement automatically calls the __enter__() method before the block of code and the __exit__() method after the block of code.

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Q59. How to write date between range in orm

Ans.

Use ORM query to filter dates within a specified range

  • Use the 'filter' method in ORM to specify the date range

  • Use the '__range' lookup to specify the start and end dates

  • Example: Model.objects.filter(date_field__range=(start_date, end_date))

Q60. What is coding? How do you shor it

Ans.

Coding is the process of creating instructions for a computer to execute, typically using a programming language.

  • Coding involves writing and organizing lines of code to create software or applications.

  • It requires logical thinking, problem-solving skills, and attention to detail.

  • Examples of coding languages include Python, Java, and C++.

Q61. Given a string s ,return longest palindrome substring of s

Ans.

Use dynamic programming to find the longest palindrome substring of a given string.

  • Use a 2D boolean array to store whether a substring is a palindrome or not.

  • Iterate through all possible substrings and update the array accordingly.

  • Return the longest palindrome substring found.

Q62. write the sql queries and explain the orm in django.

Ans.

SQL queries and ORM in Django for Python Software Developer interview.

  • SQL queries can be written in Django using raw() method or by using Django's ORM.

  • ORM in Django stands for Object-Relational Mapping, which allows developers to interact with the database using Python objects.

  • Example SQL query: SELECT * FROM table_name WHERE column_name = 'value';

  • Example ORM query: ModelName.objects.filter(column_name='value')

Q63. DSA - fInd minimum value in an array of numbers

Ans.

Use a loop to iterate through the array and keep track of the minimum value found so far.

  • Initialize a variable to store the minimum value as the first element of the array.

  • Iterate through the array and compare each element with the current minimum value, updating it if a smaller value is found.

  • Return the minimum value after iterating through the entire array.

Q64. Elaborate Oops concept with real time example

Ans.

Object-oriented programming (OOP) is a programming paradigm that uses objects to represent and manipulate data.

  • OOP focuses on creating reusable code by organizing data and behavior into objects.

  • Encapsulation, inheritance, and polymorphism are key principles of OOP.

  • Real-time example: A car can be represented as an object with properties like color, model, and methods like start, stop, and accelerate.

Q65. sort a list without inbuilt keyword?

Ans.

Sort a list without using inbuilt keyword

  • Iterate through the list and compare each element with the rest to find the smallest element

  • Swap the smallest element with the first element

  • Repeat the process for the remaining elements until the list is sorted

Q66. What are interrupts?

Ans.

Interrupts are signals sent to the CPU to temporarily suspend the current program and handle a specific event or request.

  • Interrupts allow the CPU to respond to events in real-time without wasting processing power.

  • They can be generated by hardware devices, software programs, or the CPU itself.

  • Examples include keyboard input, timer expiration, and hardware errors.

Q67. What is generators and decorators?

Ans.

Generators are functions that allow you to iterate over a sequence of items without storing them all in memory. Decorators are functions that modify the behavior of other functions.

  • Generators in Python are created using the yield keyword, allowing you to iterate over a sequence of items one at a time.

  • Generators are memory efficient as they do not store all items in memory at once.

  • Decorators in Python are functions that take another function as an argument and extend its behav...read more

Q68. what is oops concept in python

Ans.

OOPs (Object-Oriented Programming) is a programming paradigm that uses objects to represent and manipulate data.

  • Python supports OOPs concepts such as encapsulation, inheritance, and polymorphism.

  • Classes and objects are the fundamental building blocks of OOPs in Python.

  • Encapsulation allows data hiding and abstraction, ensuring data security and modularity.

  • Inheritance enables code reuse and the creation of hierarchical relationships between classes.

  • Polymorphism allows objects o...read more

Q69. What are the oops concepts in python

Ans.

Object-oriented programming concepts in Python include classes, objects, inheritance, encapsulation, and polymorphism.

  • Classes: Blueprint for creating objects with attributes and methods.

  • Objects: Instances of classes that can store data and perform actions.

  • Inheritance: Ability to create a new class based on an existing class.

  • Encapsulation: Restricting access to certain components of an object.

  • Polymorphism: Ability for objects to take on multiple forms or behaviors.

  • Example: cla...read more

Q70. Write reversing six digit number using python

Ans.

Reversing a six digit number using Python

  • Convert the number to a string to easily manipulate each digit

  • Use string slicing to reverse the order of the digits

  • Convert the reversed string back to an integer for the final result

Q71. Where we used pytesseract library

Ans.

Pytesseract library is used for optical character recognition (OCR) in Python.

  • Pytesseract is used to extract text from images and PDFs.

  • It can be used for automating data entry tasks.

  • It is commonly used in document management systems.

  • Pytesseract can be used to extract text from scanned documents.

  • It can also be used for text recognition in images captured by cameras.

  • Pytesseract is often used in machine learning projects for text recognition.

Q72. is tuple fully immutable?

Ans.

Yes, tuples are fully immutable in Python.

  • Tuples cannot be modified once created.

  • Elements of a tuple cannot be changed, added, or removed.

  • Attempting to modify a tuple will result in a TypeError.

  • Example: tuple1 = (1, 2, 3) - tuple1[0] = 4 will raise a TypeError.

Q73. what is docker used for?

Ans.

Docker is a platform used to develop, ship, and run applications in containers.

  • Docker allows developers to package their applications and dependencies into a container, which can then be easily shared and run on any system.

  • Containers created with Docker are lightweight, portable, and isolated from the host system, making them ideal for microservices architecture.

  • Docker simplifies the process of deploying and scaling applications, as well as ensuring consistency between develo...read more

Q74. What is MVT architecture?

Ans.

MVT architecture stands for Model-View-Template architecture, commonly used in web development with Django framework.

  • MVT separates the logic of an application into three components: Model, View, and Template.

  • Model represents the data structure, View handles the user interface and business logic, and Template manages the presentation layer.

  • MVT is similar to MVC (Model-View-Controller) architecture but with a different naming convention.

  • Example: In Django, models.py defines the...read more

Q75. What is moudles and packages

Ans.

Modules are files containing Python code, while packages are directories containing modules.

  • Modules are used to organize Python code into reusable files.

  • Packages are used to organize modules into directories for better organization.

  • Modules can be imported using the 'import' keyword, while packages are imported using dot notation.

  • Example: 'import math' imports the math module, while 'import mypackage.mymodule' imports a module from a package.

Q76. what is Pandas framework ?

Ans.

Pandas is a powerful open-source data manipulation and analysis library for Python.

  • Pandas provides data structures like DataFrame and Series for efficient data manipulation.

  • It offers tools for reading and writing data in various formats such as CSV, Excel, SQL databases.

  • Pandas allows for data cleaning, reshaping, merging, and grouping operations.

  • It integrates well with other libraries like NumPy and Matplotlib for data analysis and visualization.

  • Example: df = pd.DataFrame(dat...read more

Q77. DSA Difference between tuples and list

Ans.

Tuples are immutable and ordered collections, while lists are mutable and ordered collections in Python.

  • Tuples are created using parentheses, while lists are created using square brackets.

  • Tuples cannot be modified after creation, while lists can be modified.

  • Tuples are faster than lists for iteration and accessing elements.

  • Lists are more flexible and have more built-in methods compared to tuples.

Q78. Tell me about python?

Ans.

Python is a high-level, interpreted programming language known for its simplicity and readability.

  • Python is dynamically typed and uses indentation for code blocks.

  • It has a large standard library and supports multiple programming paradigms.

  • Python is widely used for web development, data analysis, artificial intelligence, and more.

Q79. How Apache Airflow works?

Ans.

Apache Airflow is a platform to programmatically author, schedule, and monitor workflows.

  • Apache Airflow allows users to define workflows as Directed Acyclic Graphs (DAGs) in Python scripts.

  • It provides a web-based UI for users to visualize and monitor the status of their workflows.

  • Airflow uses a scheduler to trigger tasks based on their dependencies and schedules.

  • It supports various integrations with external systems like databases, cloud services, and more.

  • Tasks in Airflow ar...read more

Q80. What is self interdection

Ans.

Self-intersection occurs when a curve or surface intersects itself at a point.

  • Self-intersection can occur in computer graphics when rendering complex shapes.

  • It can also occur in geometry when analyzing curves and surfaces.

  • Self-intersection can lead to rendering artifacts or inaccuracies in calculations.

Q81. Difference between Lists and Tuples?

Ans.

Lists are mutable, ordered collections of items while tuples are immutable, ordered collections of items.

  • Lists are defined using square brackets [] while tuples are defined using parentheses ().

  • Lists can be modified (add, remove, change elements) while tuples cannot be modified once created.

  • Lists are typically used for collections of similar items that may need to be modified, while tuples are used for fixed collections of items.

  • Example: list_example = [1, 2, 3] and tuple_exa...read more

Q82. Join two tables?

Ans.

Use SQL JOIN to combine rows from two tables based on a related column between them.

  • Use JOIN keyword in SQL to combine rows from two tables based on a related column

  • Types of JOINs include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

  • Example: SELECT * FROM table1 JOIN table2 ON table1.column = table2.column

Q83. What is Python generator?

Ans.

Python generator is a function that returns an iterator object which can be iterated over.

  • Generators are created using a function with 'yield' statement instead of 'return'.

  • They allow you to iterate over a sequence of items without creating the entire sequence in memory at once.

  • Generators are memory efficient and can be used to generate an infinite sequence of items.

  • Example: def my_generator(): for i in range(5): yield i

  • Example: gen = my_generator() print(next(gen)) # Output:...read more

Q84. Difference between list and tuple

Ans.

List is mutable, tuple is immutable in Python.

  • List uses square brackets [], tuple uses parentheses ().

  • Elements in list can be changed, tuple elements are fixed.

  • List is slower than tuple due to mutability.

  • List is used for dynamic data, tuple for static data.

Frequently asked in, ,

Q85. What are elements of python?

Ans.

Elements of Python include variables, data types, operators, control structures, functions, and modules.

  • Variables: Used to store data values.

  • Data types: Define the type of data that can be stored.

  • Operators: Used to perform operations on variables and values.

  • Control structures: Determine the flow of execution in a program.

  • Functions: Reusable blocks of code that perform a specific task.

  • Modules: Collections of functions and variables that can be used in other programs.

Q86. what is time complexity?

Ans.

Time complexity refers to the amount of time an algorithm takes to run as a function of the input size.

  • It measures how the runtime of an algorithm grows as the input size increases.

  • Common time complexities include O(1) constant time, O(log n) logarithmic time, O(n) linear time, O(n^2) quadratic time, and O(2^n) exponential time.

  • Understanding time complexity helps in analyzing and optimizing algorithms for efficiency.

  • Example: A linear search has a time complexity of O(n) as it...read more

Q87. Tell me about session in flask

Ans.

Sessions in Flask are used to store user-specific information across multiple requests.

  • Sessions are implemented using cookies, which store a session ID on the client side.

  • Session data is stored on the server side, typically in a secure and encrypted manner.

  • Flask provides a 'session' object that allows you to store and access session data easily.

  • You can set session variables using 'session['key'] = 'value' and retrieve them using 'session.get('key').

Q88. What are dependency injection

Ans.

Dependency injection is a design pattern that allows objects to receive dependencies from external sources rather than creating them internally.

  • Dependency injection helps to decouple the code and make it more testable and maintainable.

  • It allows for easier swapping of dependencies and promotes code reusability.

  • There are three types of dependency injection: constructor injection, setter injection, and interface injection.

  • Example: Instead of creating a database connection object...read more

Q89. How can we create a list

Ans.

A list in Python can be created by enclosing elements in square brackets []

  • Use square brackets [] to enclose elements

  • Separate elements with commas

  • Elements can be of any data type

  • Example: my_list = [1, 'apple', True, 3.14]

Q90. A functions that yields values lazily.

Ans.

A generator function in Python yields values one at a time, allowing for lazy evaluation.

  • Use the 'yield' keyword in a function to return values lazily

  • Generators are memory efficient as they only compute values as needed

  • Example: def lazy_generator(): for i in range(5): yield i

  • Call the generator function using next() to get the next value

Q91. What is microservices ?

Ans.

Microservices are a software development technique where applications are composed of small, independent services that communicate over well-defined APIs.

  • Microservices break down a large application into smaller, loosely coupled services.

  • Each service is responsible for a specific function and can be developed, deployed, and scaled independently.

  • Communication between services is typically done through APIs, often using lightweight protocols like HTTP or messaging queues.

  • Micros...read more

Frequently asked in,

Q92. What is ETL pipeline?

Ans.

ETL pipeline stands for Extract, Transform, Load pipeline used to extract data from various sources, transform it, and load it into a data warehouse.

  • ETL pipeline involves extracting data from multiple sources such as databases, APIs, files, etc.

  • The extracted data is then transformed by cleaning, filtering, aggregating, and structuring it for analysis.

  • Finally, the transformed data is loaded into a data warehouse or database for further analysis and reporting.

  • Popular tools for ...read more

Q93. ETL Processor how to do

Ans.

ETL Processor is a tool used for Extracting, Transforming, and Loading data from various sources into a target database.

  • Use ETL tools like Apache NiFi, Talend, or Informatica to extract data from different sources.

  • Transform the data by applying various operations like filtering, aggregating, and joining.

  • Load the transformed data into a target database or data warehouse for analysis and reporting.

  • Monitor and schedule ETL jobs to ensure data is processed efficiently and accurat...read more

Q94. Sort a list containing duplicate numbers

Ans.

Sort a list with duplicate numbers using Python

  • Use the sorted() function to sort the list in ascending order

  • To maintain the duplicate numbers, use a lambda function as the key parameter in sorted()

  • Example: nums = [3, 1, 4, 1, 5, 9, 2, 6, 5], sorted_nums = sorted(nums, key=lambda x: (x, nums.index(x)))

Q95. what is http? rest api?

Ans.

HTTP is a protocol used for transferring data over the internet. REST API is a set of rules for building web services.

  • HTTP stands for Hypertext Transfer Protocol, used for communication between web servers and clients

  • REST API (Representational State Transfer) is a set of rules for building web services that adhere to the principles of REST

  • RESTful APIs use standard HTTP methods like GET, POST, PUT, DELETE to perform CRUD operations on resources

  • REST APIs typically return data i...read more

Q96. What is namespace in python

Ans.

Namespace in Python is a system to make sure that all the names in a program are unique and can be used without any conflict.

  • Namespaces are containers for mapping names to objects.

  • Python uses namespaces to avoid naming conflicts and to create a unique space for each variable, function, etc.

  • There are different types of namespaces in Python such as local, global, and built-in namespaces.

Q97. What is scopes in pytjon

Ans.

Scopes in Python refer to the visibility of variables within a program.

  • Variables defined inside a function have local scope and are only accessible within that function.

  • Global variables can be accessed from any part of the program.

  • Nonlocal variables are used in nested functions to access variables from the outer function.

Q98. What are generators in Python

Ans.

Generators in Python are functions that allow you to iterate over a sequence of items without storing them all in memory at once.

  • Generators use the 'yield' keyword to return data one item at a time

  • They are more memory efficient compared to lists as they generate values on the fly

  • Generators are used in situations where you need to iterate over a large sequence of items without loading them all into memory at once

Q99. Architecture of existing application

Ans.

The existing application follows a microservices architecture with separate components for different functionalities.

  • The application is divided into multiple services that communicate with each other through APIs.

  • Each service is responsible for a specific task or functionality, promoting modularity and scalability.

  • Examples of microservices in the architecture include user authentication service, payment processing service, and notification service.

Q100. what is kafka framework

Ans.

Kafka is a distributed streaming platform used for building real-time data pipelines and streaming applications.

  • Kafka is developed by Apache Software Foundation.

  • It is written in Scala and Java.

  • Kafka is used for building real-time data pipelines and streaming applications.

  • It provides high-throughput, fault-tolerant, and scalable messaging system.

  • Kafka is often used for log aggregation, stream processing, event sourcing, and real-time analytics.

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