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Introduction to NumPy

Get to know the popular Python library for numerical array computations
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dot30 days of Money-back guarantee
dotGet help at the every stage of learning
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exercises143 exercises
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Works on mobile devicesWorks on mobile devices
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Certificate of completionCertificate of completion
Description
How it works
Syllabus
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Discover the perfect tool for efficient numerical data processing. With this course, you will quickly master the basics of the highly popular NumPy library, which is the industry standard in fields like Data Science. Upon completing the course, you will have a solid understanding of the theoretical foundations and practical skills for using the NumPy library.

What you will learn

With this course, you will learn the most important techniques for working with NumPy. Each stage of the course begins with concise and accessible theory. Then, you will complete a set of practical tasks to practice your newly acquired skills. Topics you will master with this course include:

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    Creating arrays and the most important operations on arrays

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    Indexing and slicing

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    Combining, splitting arrays, and iterating over arrays

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    Mathematical functions and matrix operations

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    Sorting arrays

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    And much, much more

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Simple format and convenient learning

The course is full of practical examples. It includes dozens of tasks and exercises. This is the best way to acquire practical skills that you can later use in your daily work. After completing the course, you will receive a Certificate confirming your new qualifications.

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What is NumPy

NumPy is a popular library in the Python language that provides support for efficient numerical data processing. It is one of the foundations of the scientific Python ecosystem and is a key tool for data scientists, engineers, mathematicians, and programmers working with numerical data.

What you need to start the course

To work with the course, you will need a basic knowledge of the Python language. If you can perform basic arithmetic operations in Python, you will be able to handle the course without any problems.

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Check the course curriculum

Ch. 1
Creating arrays
(8 exercises)
We will start learning the NumPy library by creating arrays. Let's start!
Creating arrays - introduction
Creating arrays in NumPy - quiz
Creating arrays - practical task
Ch. 2
Operations on arrays
(14 exercises)
Now you will learn how we can perform operations on arrays using the NumPy library. We invite you to the stage.
Operations on arrays - introduction
Operations on arrays in NumPy - quiz
Operations on arrays - practical task
Operations on arrays - practical task
Ch. 3
Indexing
(7 exercises)
You will learn how we can refer to elements of an array. Welcome to the stage.
Indexing - introduction
Indexing - quiz
Indexing - practical task
Ch. 4
Slicing
(8 exercises)
You will learn how to slice the array.
Slicing - introduction
Slicing - quiz
Slicing - practical task

Have any questions?

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How does the course work?
Every Codenga course is full of structured knowledge and practical exercises. You start with the basics and you incrementally learn new skills.
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How much time do i need to complete the course?
Buying this course you get the lifetime access. You can learn the new skills at your own pace. You can also review the material as many times as you want
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Can i still use the course having completed it?
Yes! You get unlimited, lifetime access to the course.
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Do i need any prior experience to start the course?
Codenga course are great for beginner programmers. Start with the Level 1 course if it's your fist contact with programming.
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Do i need any software to use the course?
The only thing you need is a device with an internet access. No other tools or software necessary.
$3.99
dot30 days of Money-back guarantee
dotGet help at the every stage of learning
dotRegular updates
Unlimited accessUnlimited access
exercises143 exercises
Support from Codenga TeamSupport from Codenga Team
Works on mobile devicesWorks on mobile devices
Instant feedbackInstant feedback
Certificate of completionCertificate of completion
$3.99