Python Numpy Tutorial: Complete Python NumPy Array Tutorial Part-1 #2
Complete Python NumPy Array Tutorial #2 :-
NumPy is a Python library that is the core library for scientific computing in Python. It contains a collection of tools and techniques that can be used to solve on a computer mathematical models of problems in Science and Engineering. Numpy is very efficient computation of arrays and matrices.
NumPy arrays are great alternatives to Python Lists. Some key advantages of NumPy arrays are that they are fast, easy to work with, and give users the opportunity to perform calculations across entire arrays.
NumPy provides:
Extension package to Python for multi-dimensional arrays
Closer to hardware (efficiency)
Designed for scientific computation (convenience)
Also known as array oriented computing
You will following topics:
1.) What is Numpy array?
2.) How to create 0-d,1-d,2-d-3-d and n-d array using Numpy?
3.) How to convert list and nested list into Numpy array?
4.) How to use reshape method of Numpy?
5.) What does ndim, nbytes, shape and itemsize method in Numpy?
6.) How to convert data type in Numpy array?
7.) What is Boolean Array?
8.) How to create linspace, zeros and ones array in Numpy?
9.) How to generate Random array using Random function?
10.) Understanding the high level details of Random, Rand, Randint function.
11.) What does seed method in Numpy?
12.) Understanding of Numpy built-in method(choice, repeat, empty, full, identity, eye and diag method)
13.) Examples....
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