Beginner's Guide to Python Arrays

Beginner's Guide to Python Arrays, available at Free, has an average rating of 5, with 8 lectures, 2 quizzes, based on 26 reviews, and has 3350 subscribers.

You will learn about Develop understanding of how Python Arrays work and what advantages they offer over other Data Structures Create Arrays of Different Dimensions Arrays Visualization – 2dD, 3D, 4D and higher dimensional Arrays Array Attributes and how to use them to know more about Arrays Use Arrays as Data containers for Common Data Operations This course is ideal for individuals who are Anyone who wants to learn in more depth, about Numpy Arrays and put them to practical use It is particularly useful for Anyone who wants to learn in more depth, about Numpy Arrays and put them to practical use.

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Summary

Title: Beginner's Guide to Python Arrays

Price: Free

Average Rating: 5

Number of Lectures: 8

Number of Quizzes: 2

Number of Published Lectures: 8

Number of Published Quizzes: 2

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Develop understanding of how Python Arrays work and what advantages they offer over other Data Structures
Create Arrays of Different Dimensions
Arrays Visualization – 2dD, 3D, 4D and higher dimensional Arrays
Array Attributes and how to use them to know more about Arrays
Use Arrays as Data containers for Common Data Operations

Who Should Attend

Anyone who wants to learn in more depth, about Numpy Arrays and put them to practical use

Target Audiences

Anyone who wants to learn in more depth, about Numpy Arrays and put them to practical use

Arrays are a powerful means of storing variables of the same data type (Integer, Float, String, etc.). Compared to their counterpart Data Structures, they provide many benefits, be it:

Faster processing
Compact memory usage
Easy access to data elements, or
Simpler operations with less coding effort

To give you some context, if you have worked on Pandas DataFrames, which is a special case of 2 Dimensional Arrays, you would know what different operations you can perform and how you can handle datasets more effectively. Well with Arrays you can do most of that and much more and for that very reason they are used as the preferred Data Containers to run Machine Learning algorithms (in Modules such as Scipy and Scikit-learn).

To simply put, “A good command on Arrays will take your understanding of Data Structures and their use to the next level”, and this is exactly where this course comes in. Even if you’ve not worked on Arrays earlier, you can use this course to develop your understanding grounds-up.

Here we cover, “Arrays as Data Structures and how they get applied in Python”. Below are the key areas that this course addresses :

Intuition of Arrays as Data Containers
Visualizing 2D/3D and higher dimensional Arrays
Array Indexing and Slicing – 2D/3D Arrays
Performing basic operations using Numpy Arrays

By the end of this course, you will be able to use Arrays in common data operations and data analysis. This will also give you a platform and confidence to quickly scale up to learn more advanced topics related to Numpy.

Course Curriculum

Chapter 1: Array Basics

Lecture 1: Array Basics : Array creation, Attributes, Dtypes

Lecture 2: Array Basics : Array Reshaping and few tips

Chapter 2: Array Visualization and Intuition as Data Containers

Lecture 1: Visualizing 2D, 3D, 4D and higher dimension Arrays

Lecture 2: Arrays as Data Containers

Chapter 3: Accessing Array Elements

Lecture 1: Slicing a 2D Array Part 1 of 2

Lecture 2: Slicing a 2D Array Part 2 of 2

Lecture 3: Slicing a 3D Array

Chapter 4: Operations on Arrays

Lecture 1: Basic Array Operations

Instructors

Gaurav Singh
Data Science Professional – BFSI and Life Sciences

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1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 11 votes
5 stars: 15 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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