This is a concise course that covers the fundamentals of Python’s NumPy package. Most students who learn NumPy for the first time say that it feels different from the core Python they learnt. And they’re right. NumPy requires a different mindset. There’s a reason why NumPy does things differently and if you understand why things are the way they are in NumPy, the rest of your NumPy journey will be easier.
This course doesn’t try to cover everything in the NumPy package. That’s impossible and not desirable. Instead, I designed this course to be concise and to focus on what really matters:
- Understanding the core topics in NumPy
- Understanding the NumPy mindset
This course covers the following topics:
- NumPy’s main data structure, the ndarray
- Vectorisation in NumPy
- Arrays in higher dimensions
- The basics of broadcasting
- Filtering NumPy arrays using Boolean operations and Boolean indexing
- Reading external data using NumPy
- Representing equations with NumPy
And of course, throughout the whole course you’ll get familiar with the NumPy mindset.
About me, your instructor
I’ve been teaching Python and NumPy for a decade. Before that, I worked as a physicist and used numerical and scientific programming in my research work for over a decade. My focus is on communicating clearly, in a friendly and relaxed manner. I’m the author of the The Python Coding Book (you can ask Google for a “python book” and you’ll find this book as one of the first entries) and I have taught Python to individuals and corporations around the world.
And I’m approachable. You can ask me questions and I’ll always reply, whether here on social media or anywhere else you can find me!
