Are you a beginner software developer looking to ace your Python interview? This list of basic Python interview questions and answers provided in this blog will definitely help you crack your next interview. Visit: www.instaily.com/basic-python-interview-questions-and-answers to learn more in detail.

1. Interview
Presentation
Instaily Academy

2. Basic Python Interview
Questions and Answers
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3. Introduction
Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. It
was created by Guido van Rossum and first released in 1991. Python is widely used in various fields, including
web development, data science, machine learning, automation, and more. Python supports multiple
programming paradigms, including object-oriented, procedural, and functional programming.
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4. Q1. What are the benefits of using Python language as a tool
in the present scenario?
EasytoLearn and Readable Syntax
Large Standard Library
Community Support
Platform Independence
Integration with Other Languages
Python offers numerous advantages that make it an attractive choice for developers in the present scenario:
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5. Q2. Is Python a compiled language or an interpreted
language?
Python is an interpreted language, which means that the code is executed line by line, directly by the Python
interpreter, without the need for a separate compilation step. The Python interpreter reads the source code and
translates it into intermediate bytecode, which is then executed by the Python Virtual Machine (PVM).
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6. Q3. What does the '#' Symbol in Python?
The '#' symbol in Python is used to start a comment. Anything written after the '#' symbol on the same line is
considered a comment and is ignored by the Python interpreter. Comments are used to add explanatory notes,
reminders, or documentation to the code, making it easier for other developers to understand the code's logic.
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7. Q4. What is the difference between a Mutable data-type and
an Immutable data type?
Mutable Data Types
Immutable Data Types
In Python, data types are categorized as either mutable or immutable based on whether their values can be
changed after creation.
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2.
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8. Q5. What are the different types of data structures in
Python?
Lists
Tuples
Dictionaries
Sets
In Python, data structures are used to store and organize data. Some of the commonly used data structures
are:
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9. Q6. What are the different types of control flow statements in
Python?
if-elif-else
for loop
while loop
break and continue
Control flow statements in Python allow developers to control the flow of the program's execution based on
certain conditions. The main control flow statements in Python are:
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10. Q7. What are modules in Python?
In Python, modules are files that contain Python code and are used to group related functions, classes, and
variables together. A module can be imported into other Python programs using the `import` statement. By
using modules, developers can organize their code more efficiently and reuse functionalities across multiple
programs.
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11. Q8. What are packages in Python?
In Python, packages are a way of organizing related modules in a hierarchical manner. A package is
essentially a directory containing a special file named `__init__.py`, which makes Python treat the directory as
a package. Packages allow developers to create a more organized structure for their code by grouping related
modules together. They help prevent naming conflicts and provide a better way to manage code in large
projects.
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12. Q9. What are some common Python exceptions?
`ZeroDivisionError`
`NameError`
`TypeError`
`IndexError`
`KeyError`
`ValueError`
`FileNotFoundError`
`ImportError`
Some common Python exceptions include:
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13. Q10. What are decorators in Python?
Decorators in Python are a powerful feature that allows developers to modify the behavior of functions or
methods without changing their actual code. Decorators are applied to functions using the `@decorator_name`
syntax before the function definition. They are often used to add functionality such as logging, caching, or
authorization to functions, making code more modular and reusable.
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14. Read 40+ Most Asked Python Interview Questions on Our
Blog and Prepare for Your Next Interview.
We Wish You Best of Luck
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