TCS Python Developer Interview Questions, Process, and Tips

Q1. What are tuples in python?
Ans. 
Tuples in Python are immutable sequences of elements, similar to lists but cannot be changed once created.
• Tuples are created using parentheses ()

• Elements in a tuple can be of different data types

• Tuples are immutable, meaning their elements cannot be changed once created

• Tuples can be used as keys in dictionaries
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Q2. What are dict comprehension
Ans. 
Dict comprehension is a concise way to create dictionaries in Python using a single line of code.
• Dict comprehension uses curly braces {} to create a dictionary with key-value pairs.

• It can include conditions and loops to filter or modify the elements being added to the dictionary.

• Example: {key: value for key, value in iterable if condition}
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Q1. Technical issue wasn't
Ans. Python web development was rounded up day before that I was carried out by the day.
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Q2. Python web designing your page quality off your matter to this message.
Ans. 
The question is unclear and does not make sense.
• The question is not a valid question.

• It does not relate to Python web designing or any other topic.

• It is not possible to provide a meaningful answer to this question.
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Q3. Web development you too have ever seen page in python web development quality information.
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Q1. Explain the data structures available in python and their differences
Ans. 
Python has built-in data structures like lists, tuples, sets, and dictionaries.
• Lists are mutable and ordered, used for storing multiple items.

• Tuples are immutable and ordered, used for storing multiple items.

• Sets are mutable and unordered, used for storing unique values.

• Dictionaries are mutable and unordered, used for storing key-value pairs.
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Q2. Explain generators and give an example
Ans. 
Generators are functions that can be paused and resumed, returning a sequence of values.
• Generators use the yield keyword to return values one at a time

• They are memory efficient as they don't store the entire sequence in memory

• They can be used to generate an infinite sequence of values

• Example: def countdown(n): while n > 0: yield n n -= 1

• Example: squares = (x*x for x in range(10))
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Q3. Explain about decorators
Ans. 
Decorators are functions that modify the behavior of other functions without changing their source code.
• Decorators are denoted by '@' symbol in Python

• They can be used to add functionality to existing functions

• They can be used to modify the behavior of existing functions

• They can be used to restrict access to certain functions

• Examples include @staticmethod, @classmethod, @property
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Q1. Agile Scrum, and one coding question
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Q1. Data structures, similarities and differences between them
Ans. 
Data structures are ways of organizing and storing data in a computer so that it can be accessed and used efficiently.
• Arrays - a collection of elements of the same data type

• Linked Lists - a collection of nodes that contain data and a reference to the next node

• Stacks - a collection of elements that follows the Last In First Out (LIFO) principle

• Queues - a collection of elements that follows the First In First Out (FIFO) ...read more
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Q2. Generators, decorators, OOPs concepts, List and dictionary comprehension
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Q1. Agile, Scrum, JIRA, Different situations you find yourself in, coding question
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