Welcome To Numpy !!
Table Of Contents:
- What Is NumPy?
- Why Use NumPy?
- Applications Of Numpy?
(1) What Is Numpy ?
- ‘Numpy’ is a ‘Python’ package which is designed for performing heavy mathematical computation.
- If your work field is related to Science and Math then it’s your go-to library.
- ‘Numpy’ is based on a ‘ndarray’, This encapsulates n-dimensional arrays of homogeneous data types.
(2) Why Use Numpy ?
- NumPy arrays are faster and more compact than Python lists.
- An array consumes less memory and is convenient to use.
- NumPy uses much less memory to store data and it provides a mechanism for specifying the data types.
- This allows the code to be optimized even further.
(3) Applications Of Numpy ?
- NumPy users include everyone from beginning coders to experienced researchers doing state-of-the-art scientific and industrial research and development.
- The NumPy API is used extensively in Pandas, SciPy, Matplotlib, scikit-learn, scikit-image and most other data science and scientific Python packages.
- It is used in mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
