In NumPy, Ndarray is the name given to the array object.Python NumPy MCQs: This section contains multiple-choice questions and answers on Python NumPy. These MCQs are written for beginners as well as advanced, practice these MCQs to enhance and test the knowledge of Python NumPy....
• Python code is fast to write, but it is also slower to run than compiled languages. Fortunately, Python allows C-based extensions, so bottlenecks can and are often eliminated. A good example of this is the numpy package. Since Python doesn’t do a lot of the number-crunching, it’...
By Akash Pushkar | Last updated on February 11, 2025 | 64866 Views Previous Table of content Pandas Interview Questions for Freshers Pandas Interview Questions for Experienced Python Pandas Interview Questions Pandas and Numpy Interview Questions Whether you’re new to the field or experienced, ...
4 Python for scientific computingIniciar capítulo This chapter will cover topics on scientific computing in Python. We'll start by explaining the difference between NumPy arrays and lists. We'll define why the former ones suit better for complex calculations. Next, we'll cover some useful techniq...
Numpy Interview Questions Python Libraries Interview Questions Python Programming Examples Play Python Interview Questions for Freshers1. What is __init__? __init__ is a contructor method in Python and is automatically called to allocate memory when a new object/instance is created. All classes hav...
3. SciPy is a collection of mathematical algorithms and convenience functions built on ___. Pandas Matplotlib NumPy All of the mentioned above Answer:C) NumPy Explanation: NumPy is an extension of Python that serves as the foundation for SciPy, which is a library of mathematical methods and co...
Python is well-suited for a wide range of applications, including web development (with frameworks like Django and Flask), data analysis and visualization (with tools like NumPy and Matplotlib), scientific computing, automation, artificial intelligence, and more. Is Python platform independent? Yes,...
Discover how to create a list in Python, select list elements, the difference between append() and extend(), why to use NumPy and much more.
Writing Python code is quick but running it is often slower than compiled languages. Fortunately, Python allows the inclusion of C based extensions so bottlenecks can be optimised away and often are. The numpy package is a good example of this, it's really quite quick because a lot of the...
This is a descriptive question highly dependent on how analytical your thinking skills are. There are a variety of tools that a data analyst must have expertise in. Programming languages such as Python, R, and SAS, probability, statistics, regression, correlation, and more are the primary skills...