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,
3. SciPy is a collection of mathematical algorithms and convenience functions built on ___.Pandas Matplotlib NumPy All of the mentioned aboveAnswer: C) NumPyExplanation:NumPy is an extension of Python that serves as the foundation for SciPy, which is a library of mathematical methods and convenie...
• 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’...
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,...
By Akash Pushkar | Last updated on May 21, 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, ...
Discover how to create a list in Python, select list elements, the difference between append() and extend(), why to use NumPy and much more.
Python has a large and active community of developers who have created a wide range of modules and packages that extend the capabilities of Python. Some popular examples include NumPy for numerical computing, Pandas for data analysis, and Flask for web development. ...
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...
Pandas is built on top of the NumPy library, i.e., its data structures Series and DataFrame are the upgraded versions of NumPy arrays. 2. How do you quickly access the top 5 rows and last 5 rows of a pandas DataFrame? Thehead()method in pandas is used to access the first 5 rows ...
Python offers a rich ecosystem of libraries for data science, each serving different purposes: NumPy:Provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. ...