10+ Infosys Python Software Developer Interview Questions and Answers

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

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

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

Python is a high-level, interpreted programming language used for web development, data analysis, and artificial intelligence.

• Python is easy to learn and has a simple syntax

• It is widely used in web development frameworks like Django and Flask

• Python is used for data analysis and visualization with libraries like Pandas and Matplotlib

• It is also used in artificial intelligence and machine learning with libraries like TensorFlow and Scikit-learn

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 virtual assistants like Siri and Alexa, self-driving cars...read more

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.

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 without being explicitly programmed.

• Examples of machine le...read more

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.

• Examples include Siri (narrow AI), IBM's Watson (general AI), and...read more

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.

• Python is widely used in web development, data science, a...read more

Various tools used for Python development

• IDEs: PyCharm, Visual Studio Code, Jupyter Notebook

• Version Control: Git, GitHub

• Testing: pytest, unittest

• Package Management: pip, conda

• Database: SQLite, MySQL, PostgreSQL