Synopses & Reviews
Synopsis
Top 50 Pandas Interview Questions This book contains Pandas (python library) interview questions that an interviewer asks. It is a compilation of easy to advanced Pandas interview questions after attending dozens of technical interviews in top-notch companies like- Oracle, Google, Ebay, Amazon etc. Each question is accompanied with an answer so that you can prepare for job interview in short time.
Often, these questions and concepts are used in our daily programming work. But these are most helpful when an Interviewer is trying to test your deep knowledge of Pandas concepts.
How will this book help me? By reading this book, you do not have to spend time searching the Internet for Pandas interview questions. We have already compiled the list of the most popular and the latest Pandas Interview questions.
Are there answers in this book? Yes, in this book each question is followed by an answer. So you can save time in interview preparation.
What is the best way of reading this book? You have to first do a slow reading of all the questions in this book. Once you go through them in the first pass, mark the questions that you could not answer by yourself. Then, in second pass go through only the difficult questions. After going through this book 2-3 times, you will be well prepared to face a technical interview for Data Engineer position in Pandas.
What is the level of questions in this book? This book contains questions that are good for a Associate Data engineer to a Principal Software engineer. The difficulty level of question varies in the book from a Fresher to an Experienced professional.
What are the sample questions in this book?
- What is a Series in Pandas?
- How can we create copy of series in Pandas?
- How will you create a series from dict in Python?
- What are operations on Series in pandas?
- What is a DataFrame in pandas?
- What are the different ways in which a DataFrame can be created in Pandas?
- How will you create an empty DataFrame in pandas?
- How will you add a column to a pandas DataFrame?
- How will you add a scalar column with same value for all rows to a pandas DataFrame?
- How will you retrieve a single column from pandas DataFrame?
- How will you add the value of two columns in a pandas DataFrame to create another column?
- How will you delete a column in a pandas DataFrame?
- How can we select a column in pandas DataFrame?
- How can we retrieve a row in pandas DataFrame?
- How will you slice rows in a pandas DataFrame?
- How will you append new rows to a pandas DataFrame?
- How will you delete rows from a pandas DataFrame?
- How will you get the number of rows and columns of a DataFrame in pandas?
- How will you get the top 2 rows from a DataFrame in pandas?
- How will you get the last 2 rows from a DataFrame in pandas?
- How will you get the number of elements in a DataFrame in pandas?
- How will you get the names of columns of a DataFrame in pandas?
- How will you convert a DataFrame to an array in pandas?
- How can you check if a DataFrame is empty in pandas?
- How can you get the sum of values of a column in pandas DataFrame?
- How will you get the average of values of a column in pandas DataFrame?
- How can we get the statistical summary of data in a pandas DataFrame?
- How will you apply a function to every data element in a DataFrame?
- How will you apply a function to a row of pandas DataFrame?
- How will you apply a function to a column of pandas DataFrame?
- What is reindexing in pandas?
- How will you rename a column in pandas DataFrame?