In this article, we learn about NumPy and SciPy in Python.
- Python is a programming language. It was created by Guido van Rossum, and released in 1991.
NumPy
- NumPy is an open-source python library.
- NumPy is a package that is used in scientific computing and data manipulation in Python.
- NumPy handles large datasets. It allows us to work with multi-dimensional arrays and matrices. NumPy is the most useful library for Data Science.
Output:
- In below screenshot displays the output.
- NumPy contains nothing but an array data type which performs the most basic operation like sorting, shaping, indexing, etc.
SciPy
- SciPy is an open-source python-based library, It is used in mathematics, scientific computing.
- SciPy also pronounced as “Sigh pi”. SciPy is built on top of the NumPy. It can operate on an array of NumPy library.
- SciPy is a fully-featured version of linear Algebra while Numpy contains only a few features.
Output:-
- In below screenshot displays the output.
- The SciPy library, a collection of numerical algorithms and Optimization, Statistics and much more.
If you are new to Data Science start with the following must-watch video:-
