This series of workshops consists of six sessions, totaling about 20
hours of instruction and exercises.
The content is appropriate for students with some experience handling
python code in the classroom, but also covers material that could be
quite useful to typical scientists who use python for data analysis.
Each session comes with a lecture component, the average length of
which is approximately 90 minutes.
Each session also comes with a series of practice exercises, which
are intended to take an additional 90 - 120 minutes.
Recordings of each lecture component are provided below, along with
notes on the key topics covered and links to the slides and exercises.
I constructed this bootcamp myself, but others are welcome to
contribute additional content.
The curriculum has grown somewhat since it was first introduced, most
notably in the number of available practice exercises.
The first instance was held virtually in May 2020 at the beginning of
the Summer Undergraduate Research Program in the
Department of Astronomy at The Ohio State University.
After I graduated from Ohio State, a team of my classmates took over
the instruction.
To this day, it remains a graduate student-led scientific computing
workshop.
I have also run a subset of these exercises for the CASSI summer research interns at Carnegie
Observatories.
These workshops are first and foremost for the scientific community and
our students.
Sharpening our programming skills makes us more efficient as
researchers.
For that reason, these resources are free to use for everyone.