This Python NumPy tutorial is designed to learn NumPy basics. In this NumPy Python tutorial for beginners, you will learn various NumPy concepts like how to install NumPy, arrays, functions, matrix multiplication, etc. This NumPy in Python tutorial will help you learn all Python NumPy basics.

What is NumPy in Python?

NumPy is an open source library available in Python, which helps in mathematical, scientific, engineering, and data science programming. It is a very useful library to perform mathematical and statistical operations in Python. It works perfectly for multi-dimensional arrays and matrix multiplication. It is easy to integrate with C/C++ and Fortran.

For any scientific project, NumPy is the tool to know. It has been built to work with the N-dimensional array, linear algebra, random number, Fourier transform, etc.

NumPy is a programming language that deals with multi-dimensional arrays and matrices. On top of the arrays and matrices, NumPy supports a large number of mathematical operations. In this part, we will review the essential functions that you need to know for the tutorial on 'TensorFlow.'

Why use NumPy?

NumPy is memory efficiency, meaning it can handle the vast amount of data more accessible than any other library. Besides, NumPy is very convenient to work with, especially for matrix multiplication and reshaping. On top of that, NumPy is fast. In fact, TensorFlow and Scikit learn to use NumPy array to compute the matrix multiplication in the back end.

Syllabus

TutorialHow to Install NumPy
TutorialPython Numpy Array Tutorial
Tutorialnumpy.zeros() in Python | numpy.ones() in Python with Example
Tutorialnumpy.reshape() and numpy.flatten() in Python
Tutorialnumpy.hstack() and numpy.vstack() in Python with Example
Tutorialnumpy.asarray() in Python with Example
Tutorialnp.arange() | NumPy Arange Function in Python
Tutorialnumpy.linspace() and numpy.logspace() in Python with Example
TutorialIndexing and Slicing NumPy Arrays in Python with Example
TutorialNumPy Statistical Functions with Example
Tutorialnumpy.dot() in Python | Numpy Dot Product Function & Example
TutorialNumPy Matrix Multiplication with np.matmul() Example