Graduate student and postdoc instructors will cover Python essentials for excelling in your research
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About this Event
Several research subfields in physics and astronomy have elements of data analysis, numerical calculations, figure creation, and software design. In most subfields, Python has become the programming language of choice. This summer seminar series will intorduce you to the Python programming language, familiarize you with popular science computing packages, and touch on some essential concepts for academic research. Join us every other Wednesday to take your research to the next level! All materials will be made available on this page after each seminar.
Fill out the form below to join the fun (or if you just have any questions)!
Connection info will be distributed via Slack and email to participants who filled out the Sign-Up Form.
|6-2-2021||Julian Marohnic||(1) Introduction to Doing Science in Python for REAL Beginners|
|6-16-2021||Adam Miller||(2) Visualizing Data with Matplotlib|
|6-30-2021||Ramsey Karim||(3) NumPy, Functions, and Data|
|7-14-2021||John Evans||(4) Fitting Models to Data|
|7-28-2021||Tomás Ahumada||(5) Introduction to Image Processing|
|8-11-2021||Brian Nord, Savannah Thais,
and Renee Cummings
|(6) Ethics of Scientific Research and AI|
|8-25-2021||Rob Morgan||(7a) Parallel A: Best Coding Practices for Python|
|8-25-2021||Melissa Morris||(7b) Parallel B: Popular Data Analysis Packages|
|9-8-2021||Katie Latimer||(8a) Parallel A: Version Control with GitHub|
|9-8-2021||Kate Storey-Fisher||(8b) Parallel B: Introduction to Machine Learning|
Lecture recordings and materials will be linked here following each seminar.
Seminar 1: Introduction to Doing Science in Python for REAL Beginners
Seminar 2: Visualizing Data with Matplotlib