Getting Started with NumPy

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Amruta Mahajan

54:22

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1. Course Overview

1. Course Overview.mp4

02:15

2. Introduction to NumPy

1. NumPy - Basics.mp4

02:55

2. History of NumPy.mp4

01:35

3. NumPy - Features and Benefits.mp4

02:35

4. Comparison with Alternatives.mp4

02:25

3. Setting up a Work Environment for NumPy

1. Package Managers - Pip and Conda.mp4

05:47

2. Installing NumPy Using Pip.mp4

03:02

3. Installing NumPy Using Conda.mp4

02:07

4. Understanding the Ndarray Object

1. Understanding ndarray Object.mp4

03:33

2. Demo - Creating an ndarray.mp4

01:16

3. NumPy Data Types.mp4

06:00

4. Demo - Numpy Data Types.mp4

04:34

5. Attributes of the ndarray Object.mp4

02:05

5. Creating Ndarrays

1. Basic ndarray Creation Routines.mp4

04:51

2. NDarray from Existing Data.mp4

04:50

3. NDarray within a Numerical Range.mp4

04:32

Description

NumPy is a powerful python library that provides N-dimensional arrays and functions to perform scientific computing. In this course, you’ll learn the basics of NumPy, its data types and attributes, and NumPy array creation in different scenarios.

What You'll Learn?

NumPy, which is short for Numerical Python, is a very crucial library of Python when working in the field of data science.

In this course, Getting Started with NumPy, you'll learn everything about NumPy and the N-dimensional array (ndarray).

First, you'll start by understanding what NumPy is and do an in-depth study on its history, purpose, usage, advantages, etc.

Next, you'll see how to install the NumPy library into your system.

Then, you'll take a look into ndarray and study its attributes and some basic but important functions.

Finally, you'll dive into creating NumPy arrays in different ways, like creating an empty array, an array with a specified range, or an array from existing data, depending upon your requirements.

When you’re finished with this course, you'll have a good understanding of NumPy and ndarray with the skills to create and maintain ndarray in various scenarios, and will be ready to move on to the next step where you can perform complex scientific computations using NumPy functions or use ndarray as an input in other Python libraries.

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Python

Data Science

NumPy

Amruta Mahajan

Instructor's Courses

Amruta is an experienced Data Analyst with over 12 years of experience in interpreting and analyzing data to drive successful business outcomes. She loves tackling hard problems using data manipulation as her superpower and has worked with market leaders from various fields including Standard & Poors, McDonalds, Mondelez International, General Electric, AMD and Beam Suntory. Amruta is passionate about both teaching and learning and believes “The purpose of life is to discover your gift. The work of life is to develop it. The meaning of life is to give your gift away”. Amruta has an undergrad in Statistics and a Masters in Computer Science. She speaks English, Hindi and Marathi and codes in VBA, Python and R

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.