Infosys Python Software Developer Interview Questions, Process, and Tips

Q1. What is paython
Ans. 
Python is a high-level programming language known for its simplicity and readability.
• Python is an interpreted language, meaning code is executed line by line.

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

• Python has a large standard library and a thriving community with numerous third-party libraries.

• Popular frameworks like Django and Flask are built using Python...read more
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Q2. What is oops concepts
Ans. 
Object-oriented programming concepts that focus on classes and objects.
• Encapsulation: Bundling data and methods that operate on the data into a single unit (class).

• Inheritance: Ability of a class to inherit properties and behavior from another class.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the complex implementation details and showing only the necessary features.
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Aptitude test questions

Q1. What is machine learning
Ans. 
Machine learning is a branch of artificial intelligence that involves developing algorithms and models that can learn from and make predictions or decisions based on data.
• Machine learning is a subset of artificial intelligence that focuses on developing algorithms that can learn from and make predictions or decisions based on data.

• It involves training models on large datasets to recognize patterns and make predictions ...read more
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Q2. Machine learning example
Ans. 
An example of machine learning is training a model to predict customer churn in a telecom company.
• Collect and preprocess data on customer behavior and churn

• Split data into training and testing sets

• Choose a machine learning algorithm (e.g. logistic regression)

• Train the model on the training data

• Evaluate the model's performance on the testing data

• Use the model to predict customer churn in the future
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Aptitude test questions

Q1. What is artificial intelligence
Ans. 
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
• AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

• Machine learning is a subset of AI that allows machines to learn from data and improve their performance over time.

• Examples of AI include...read more
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Q2. Type of artificial intelligence
Ans. 
There are three types of artificial intelligence: narrow AI, general AI, and superintelligent AI.
• Narrow AI, also known as weak AI, is designed for a specific task or set of tasks, such as facial recognition or language translation.

• General AI, also known as strong AI, is able to perform any intellectual task that a human can do.

• Superintelligent AI is hypothetical and would surpass human intelligence in every way.

• Example...read more
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Q1. What is a Python program that can be used to determine the best price for selling stocks?
Ans. 
A Python program using historical stock data and algorithms to determine the best price for selling stocks.
• Use historical stock data to analyze trends and patterns

• Implement algorithms like moving averages or RSI to predict stock price movements

• Consider factors like volume, volatility, and market sentiment

• Optimize the program for real-time data updates and accurate predictions
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Q2. Can you write a Python program to determine whether two given words are anagrams of each other without using built-in functions?
Ans. 
Program to check if two words are anagrams without using built-in functions
• Create a function that takes in two strings as input

• Convert both strings to lists of characters

• Sort the lists of characters

• Check if the sorted lists are equal to determine if the words are anagrams
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Fundamental questions regarding Python and Django.

Q1. Can you provide details about your work experience in your current company?
Ans. 
I have been working as a Python Software Developer for the past 3 years in a tech company.
• Developed and maintained Python applications for data analysis and visualization.

• Collaborated with cross-functional teams to design and implement new features.

• Optimized code for performance and scalability.

• Utilized Django framework for web development projects.

• Implemented automated testing to ensure code quality and reliability.
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Q2. What problems did you face, and how did you tackle them?
Ans. 
I faced challenges with optimizing code performance and resolved them through code refactoring and using efficient data structures.
• Identified bottlenecks in the code by profiling and analyzing performance metrics

• Refactored code to improve efficiency and reduce execution time

• Utilized data structures like dictionaries and sets for faster data retrieval

• Implemented caching mechanisms to store and reuse computed results
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Q1. How can you capitalize a string in Python without using built-in functions?
Ans. 
You can capitalize a string in Python without using built-in functions by manually converting each character to uppercase.
• Iterate through each character in the string

• Check if the character is a lowercase letter using ASCII values

• Subtract 32 from the ASCII value to convert it to uppercase

• Join the characters back together to form the capitalized string
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