Master Scientific Computing in Python with NumPy

Description

Do you want to learn NumPy and get started with data analysis in Python? This course is both a comprehensive and hands-on introduction to NumPy!

What this course is all about:

In this course, we will teach you the ins and outs of the Python library NumPy. This library is incredibly powerful and is used for scientific computing, linear algebra, image processing, machine learning, and more. If you are interested in one of these topics or simply want to get started with data science in Python, then this is the course for you!

The course will teach you everything you need to know to professionally use NumPy. We will start with the basics, and then gradually move on to more complicated topics. As NumPy is the fundamental building block for other popular Python libraries like Pandas, Scikit-Learn, and PyTorch, it's a great library to get you started with data science in Python.

Why choose us?

This course is a comprehensive introduction to NumPy! We don't shy away from the technical stuff and want you to stand out with your newly learned NumPy skills.

The course is filled with carefully made exercises that will reinforce the topics we teach. In between videos, we give small exercises that help you reinforce the material. Additionally, we have larger exercises where you will be given a Jupiter Notebook sheet and asked to solve a series of questions that revolve around a single topic. We give exercises on awesome topics like audio processing, linear regression, and image manipulation!

We're a couple (Eirik and Stine) who love to create high-quality courses! In the past, Eirik has taught both Python and NumPy at the university level, while Stine has written learning material for a university course that has used NumPy. We both love NumPy and can't wait to teach you all about it!

Topics we will cover:

We will cover a lot of different topics in this course. In order of appearance, they are:

• Introduction to NumPy

• Working with Vectors

• Universal Functions and Plotting

• Randomness and Statistics

• Making and Modifying Matrices

• Broadcasting and Advanced Indexing

• Basic Linear Algebra

• Understanding n-dimensional Arrays

• Fourier Transforms

• Advanced Linear Algebra

• Saving and Loading Data

By completing our course, you will be comfortable with NumPy and have a solid foundation for topics like data science and machine learning in Python.

Still not decided?

The course has a 30-day refund policy, so if you are unhappy with the course, then you can get your money back painlessly. If are still uncertain after reading this, then take a look at some of the free previews and see if you enjoy them. Hope to see you soon!

What You Will Learn!

• Learn to confidently work with vectors and matrices in NumPy.
• Learn basic functionality like sorting, calculating means, and finding max/min values.
• Learn to draw line plots, bar plots, and scatterplots.
• Learn to generate different types of random vectors.
• Learn to modify and reshape matrices to your advantage.
• Learn Boolean indexing and advanced slicing to extract useful information.
• Learn to do basic linear algebra in NumPy like solving linear systems, calculating inverses, and more!
• Get an understanding of how ndarrays work and utilize this to create fast code.
• Learn Fourier transforms with NumPy and use this to manipulate images and audio.
• Learn advanced linear algebra like the QR decomposition and partial least squares.
• Learn how to preserve your NumPy objects in different formats.
• Learn about neighboring libraries and that NumPy is used everywhere in Python's data science stack.

Who Should Attend!

• Anyone who wants to get a good understanding of NumPy.
• Students who want to implement topics like linear algebra, machine learning, and image processing in Python.
• Python developers who are curious about NumPy and data science!

TAKE THIS COURSE