Top 50 Python Interview Questions And Answers
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Top 50 Python Interview Questions and Answers
Introduction: Python Interview Questions Python is a very popular language for Data Science and Machine learning projects. A lot of companies are looking for a software developers proficient in Python language. This book contains basic to expert level Python interview questions that an interviewer asks. Each question is accompanied with an answer so that you can prepare for job interview in short time. We have compiled this list after attending dozens of technical interviews in top-notch companies like- Google, Facebook, Netflix, Amazon etc. 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 Python. How will this book help me? By reading this book, you do not have to spend time searching the Internet for Python interview questions. We have already compiled the list of the most popular and the latest Python 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 Software Engineer position in Python area. What is the level of questions in this book? This book contains questions that are good for a Associate Software engineer to a Senior Software engineer. The difficulty level of question varies in the book from Fresher to a Seasoned professional. What are the sample questions in this book? How will you improve the performance of a program in Python? What are the benefits of using Python? How will you specify source code encoding in a Python source file? What is the use of PEP 8 in Python? What is Pickling in Python? How does memory management work in Python? How will you perform Static Analysis on a Python Script? What is the difference between a Tuple and List in Python? What is a Python Decorator? How are arguments passed in a Python method? By value or by reference? What is the difference between List and Dictionary data types in Python? What are the different built-in data types available in Python? What is a Namespace in Python? How will you concatenate multiple strings together in Python? What is the difference between xrange and range in Python? What is lambda expression in Python? How will you copy an object in Python? What are the main benefits of using Python? What is a metaclass in Python? What is the use of frozenset in Python? What is Python Flask? What is None in Python? What is the use of zip() function in Python? What is the use of // operator in Python? What is a Module in Python? What is the difference between 'is' and '==' in Python? How will you share variables across modules in Python? How can we do Functional programming in Python? What is the improvement in enumerate() function of Python? How will you execute a Python script in Unix? What are the popular Python libraries used in Data analysis? What is the output of following code in Python? What is the output of following code in Python? http://www.knowledgepowerhouse.com
Top 50 Pandas Interview Questions & Answers
Author: Knowledge Powerhouse
language: en
Publisher: Independently Published
Release Date: 2018-09-11
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?
Coding Interview Questions
"Coding Interview Questions" is a book that presents interview questions in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics. It comes handy as an interview and exam guide for computer scientists. Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Big job hunters: Apple, Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more Reference Manual for working people Topics Covered: Programming BasicsIntroductionRecursion and BacktrackingLinked Lists Stacks Queues Trees Priority Queue and HeapsGraph AlgorithmsSortingSearching Selection Algorithms [Medians] Symbol TablesHashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Design Interview Questions Operating System Concepts Computer Networking Basics Database Concepts Brain Teasers NonTechnical Help Miscellaneous Concepts Note: If you already have "Data Structures and Algorithms Made Easy" no need to buy this.