Operations on Arrays with NumPy
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.
What you'll learn
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.
Table of contents
- Recap of NumPy 3m
- Demo: Slicing NumPy Arrays - Part1 6m
- Demo: Slicing NumPy Arrays - Part2 5m
- Demo: Slicing NumPy Arrays - Part3 3m
- Demo: Slicing with Strides 4m
- Demo: Boolean Masks and Indexing - Part1 6m
- Demo: Boolean Masks and Indexing - Part2 3m
- Demo: Boolean Masks and Indexing - Part3 4m
- Broadcasting 2m
- Demo: Broadcasting 7m
- Key Takeaways and Tips 1m
About the author
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.