We will have several computational tutorials throughout the course. As the course progresses, these materials will be posted below. Note: In some browsers (Firefox primarily), the end of each sentence is clipped off, making it difficult to read. If this is occurring, please try using another browser (Chrome, Safari, etc).

Syllabus for Computational Sessions and Datasets

We introduce you to several techniques, such as numerical integration, image segmentation plotting with dashboards. Please download the following data sets, unzip them, and place them in your bootcamp/data folder as described in the setting up Python tutorial. Depending on the browser, you can download the data by left-clicking the link, or by right-clicking the link, and select Save link as. The following syllabus is subject to change and will be kept in line with the class:

As we progress through the course, the code written in class will be posted here, along with the polished version of the same material.

External resources

Below is a list of useful online resources for learning the Python programming language and principles of programming in general.