Author: Sunaina Rani

Python is a high-level programming language that can be used for artificial intelligence, data analysis, data science, scientific computing, and web development. Over the years, developers have also leveraged this general-purpose language to build desktop apps, games, and productivity tools. Created by Dutch programmer Guido van Rossum in 1991, Python is known for its simplicity, accessibility, and versatility. Over the years, Python has evolved considerably and become one of the fastest-growing programming languages in the world. This has created an explosion in demand for engineers fluent in Python. While you might be well equipped with the requisite knowledge and experience, to get your ideal […]

Python is increasingly becoming popular among data science enthusiasts, and for right reasons. It brings the entire ecosystem of a general programming language. So you can not only transform and manipulate data, but you can also create strong pipelines and machine learning workflows in a single ecosystem. At Analytics Vidhya, we love Python. Most of us use Python as our preferred tool for machine learning. Not only this, if you want to learn Deep Learning, Python clearly has the most mature ecosystem among all other languages. If you are learning Python for Data Science, this test was created to help you […]

Python is increasingly becoming popular among data science enthusiasts, and for right reasons. It brings the entire ecosystem of a general programming language. So you can not only transform and manipulate data, but you can also create strong pipelines and machine learning workflows in a single ecosystem. At Analytics Vidhya, we love Python. Most of us use Python as our preferred tool for machine learning. Not only this, if you want to learn Deep Learning, Python clearly has the most mature ecosystem among all other languages. If you are learning Python for Data Science, this test was created to help you […]

DataScience requires an interdisciplinary set of skills, from handling databases, to running statistical model, to setting up business cases and programming itself. More often than not technical interviews for data-scientists assess more the knowledge of specific data manipulation APIs such as pandas, sklearn or spark, rather than a programming way of thinking. While I think that a knowledge of the more “applied” APIs is something that should be tested when hiring data-scientist, so is the knowledge of more traditional programming. String Reversal & Palindrome String reversal questions can provide some information as to how well, certain candidates have been with […]

DataFlair is devoted to help Python learners become successful in their Python careers. That’s why we are publishing an interesting and helpful series of Python Interview Questions and Answers. In this series, you will get 150+ Python Interview Questions and Answers in 3 different parts, that covers Python Interview Questions and Answers for Beginners Python Interview Questions and Answers for Intermediates Python Interview Questions and Answers for Experienced Starting with our first part that is Python Interview Questions and Answers for freshers. I have divided this blog into different categories. Common Python Interview Questions and Answers Frequently asked Python Interview […]

1) What is Python? What are the benefits of using Python? Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure and it is an open source. 2) What is PEP 8? PEP 8 is a coding convention, a set of recommendation, about how to write your Python code more readable. 3) What is pickling and unpickling? Pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using dump function, […]