Numpy Library for data science (All in one)

Numpy Library for data science (All in one)
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn
Different Numpy function applied as Matrix/Array Operations
You will learn Numpy – Numerical Python Library
Go from absolute beginner to become a confident Python NumPy user
Dare to get the most out of Python NumPy
Go deeper to understand complex topics in Python NumPy

Description
Hello,

Welcome to Numpy Library for Data Science Course

Are you ready for the Data Science career?

Do you want to learn the Python Numpy from Scratch? or

Are you an experienced Data scientist and looking to improve your skills with Numpy!

Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Numpy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in Numpy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science.

In this course, we will open the door of the Data Science world and will move deeper. You will learn Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless.

In this course you will learn;

Introduction and Installation

Similarities and difference in a list and an array

Declare an array

Array function in numpy library

arange function

ones, zeros and empty function

linspace function

identity and eye function

Attributes of array

Indexing in array

Slicing in array

Arithmetic operators in an array

reshape and resize function in an array

flatten function in an array

ravel function in an array

transpose function

swapaxes function

Concatenate function

Different matrices function like finding inverse , matix multiplication etc.
This course will take you from a beginner to a more experienced level.

See you in the course!