Python Interview Questions and Important Concepts

Introduction

• Python is experiencing a huge uptrend in demand.
• This session covers important Python interview questions categorized into:
  • Beginner Questions
  • Advanced Questions
  • Tricky Questions

Career Plus Platform

• Great Learning offers a job readiness platform called Carrier Plus for students and fresh graduates.
• 400+ corporate hiring companies involved.

Agenda Overview

1. Beginner Questions (50 Questions)
2. Advanced Questions (20 Questions)
3. Tricky Questions (30 Questions)

Key Features of Python

• Free and Open Source: Contributions from around the world.
• Object-Oriented: Supports classes and objects.
• Easy to Learn: Clear syntax compared to languages like C++.
• Easy to Debug: Interpreted language helps with debugging.
• Interoperable: Can communicate with other languages like C++ and Java.

Important Keywords in Python

• Total of 33 keywords, e.g., False, None, True, if, else, return, etc.

Literals in Python

• Types of literals include:
  • String Literals: e.g., "My name is Anirudh."
  • Numeric Literals: integers, floating point, complex numbers.
  • Boolean Literals: True, False.
  • Special Literals: None.

Basic Operations

Concatenation of Tuples

• Use + to concatenate two tuples.

Functions in Python

• Defined using def.
• Two types: Built-in functions and user-defined functions.

Numpy Array Initialization

• Initialize with zeros: np.zeros((5,5)).

Libraries in Python

• Pandas and Numpy: Important for data manipulation and analysis.
• Data Frames and Series in Pandas for handling data.

Grouping and Aggregation in Pandas

• Use groupby to perform operations like sum, mean, and count on grouped data.

Exception Handling

• Try, Except, Else, Finally: Used to handle exceptions and ensure clean execution.

Common Interview Questions

Beginner Questions

1. Key Features of Python
2. Keywords
3. Literals
4. Concatenate Tuples
5. Functions
6. Numpy Array Initialization
7. Pandas Operations
8. Groupby in Pandas

Advanced Questions

1. Create New Column in Pandas
2. Delete Columns in Pandas
3. Merge DataFrames
4. Drop NA
5. Accessing Data

Tricky Questions

• Include pattern printing and understanding of complex logic with strings and numbers.

Conclusion

• Importance of practicing these concepts to ace Python interviews.
• Encourage sharing knowledge and insights with peers.

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