Pandas is a popular software library created to perform high-level data analysis and data manipulation in Python. Technical interview rounds at top companies often involve answering basic to advanced-level Panda interview questions and questions around other popular Python tools.
Pandas allows developers and data engineers to manipulate time series characteristics, tables, and other aspects by offering data structures and other advanced features to run complex data programs. Pandas interview questions that you can expect at Python interviews are typically around the tool’s features, data structures, and functions. In this article, we’ll look at some of these Panda interview questions.
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Let’s go ahead and look at some common Panda interview questions asked in technical interviews.
Here’s what we’ll cover:
In this section, we’ll look at the top Pandas interview questions to prepare you for the Python interview.
Let’s go ahead and look at some advanced Panda interview questions for your next Python interview. You can expect these questions in your tech interview if you're a senior Python developer.
Data scientists and data engineers are often expected to be adept with data-oriented programming languages, particularly Python. In this section, we’ll look at some common Pandas interview questions for data scientists to help you understand the type of questions asked at data interviews.
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Pandas allows developers to perform certain functions by writing code. Below are some common Pandas Coding interview questions to practice for your upcoming interview.
Practicing these Pandas interview questions will help you prepare for python interviews, data analyst interviews, and data science interviews.
Q1. Which programming language is the Pandas tool designed for?
Pandas is a data analysis and manipulation tool explicitly written for the Python programming language.
Q2. Which are some domain interviews where recruiters ask Panda interview questions?
Pandas interview questions are asked at domain interviews for data scientists, python software developers, data engineers, and data analysts.
Q3. What are Panda interview questions asked at Python interviews?
Panda interview questions are typically around indexing, Panda DataFrames, Panda data structures, and Panda functions.
Q4. Which are the data structures available with Pandas?
Pandas supports two main types of data structures - DataFrame and Series. DataFrames are two-dimensional data structures, while Series is a one-dimensional data structure.
Q5. What is NumPy in Pandas?
NumPy in Pandas is a built-in package used to perform numerical calculations and process elements in one-dimensional and two-dimensional arrays.
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