Develop your core MATLAB skills to tackle new challenges with confidence.

On occasion, the fundamental control-flow structures of Python can feel clumsy or limiting. This course will teach you extensions and alternatives to these basic structures that can help your code be easier to write and more likely to be correct.

This course will teach you about the byte-oriented features of Python used when working with binary data.

Classes and objects are central to how Python works. This course will deepen your knowledge of object-oriented programming in Python, expanding on concepts you're familiar with and introducing new tools that will broaden you Python design palette.

Python has a dynamism which can give our objects superpowers. This course will teach you how to implement highly flexible interfaces with where the attributes of objects are determined on-the-fly, rather than being determined in advance by classes.

A key to Python's expressiveness lies in its model of functions and the tools it provides for working with them. In this course, you'll learn more about Python's concept of "callable objects" and some sophisticated ways to use them in your programs.

If you use Python you want to embrace the object-oriented features to make your code easier to use, maintain, and extend. You will learn how to best take advantage of those features — specifically how to leverage hashing and advanced collections.

Iterators, Iterables and Collections are central to how Python works. In this course, you'll move beyond the built-in and standard library collections, and learn how to build your own iterators, iterables and collections from the ground up.

In this course, you'll look at Python's support for introspection, the ability to examine objects, types, and program state at runtime. While not needed in every program, introspection can be the key to elegant designs and debugging complex problems.

Python includes a powerful collection of numeric types beyond the basic int and float. In this course you'll learn about these types, the shortcomings they address in the basic numeric types, and how and when to deploy them in your Python programs.

This course is an introduction to features of the Python language which will help you structure your code once your needs move beyond a few Python modules. You'll learn where to start plus the patterns you should follow to grow your Python projects.

Exceptions are ubiquitous in Python. In this course, you'll broaden your knowledge of exceptions and how to work with them. You'll also be introduced to context managers, Python's facility for safely and automatically managing resources.