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Operations on Arrays with NumPy

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Duration

1h 27m

level

Intermediate

Course Creator

Axel Sirota

Last Updated

15-Mar-23

This course will teach you how to leverage NumPy to up your game in scientific programming, and show you how to use NumPy for numerical processing, including array indexing, math operations, and search.

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Ideal for data scientists in any field, this overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and search. In this course, Operations on Arrays with NumPy, you’ll learn how to interact and manipulate NumPy Arrays at will. First, you’ll explore how to do indexing, slicing and mask with binary operators. Next, you’ll discover how to perform both linear algebra as well as statistical operations with NumPy arrays. Finally, you’ll learn how to sort and search in them any element. When you’re finished with this course, you’ll have the skills and knowledge of NumPy arrays needed to manipulate them in any application you may need.
Author Name: Axel Sirota
Author Description:
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O’Reilly Media.

Table of Contents

  • Course Overview
    1min
  • Intoduction
    7mins
  • Slicing and Indexing NumPy Arrays
    45mins
  • Operating with NumPy Arrays
    16mins
  • Searching in NumPy Arrays
    16mins

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Operations on Arrays with NumPy
Operations on Arrays with NumPy
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