EPSCOR Hack Week Python Tutorials

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This series of tutorials is part of the 2022 EPSCOR Hack Week held June 12-17, 2022 on the West Virginia University campus in Morgantown, WV.

These tutorials are made possible through the support of the NASA GSFC Advanced Software Technology Group and the Center for HelioAnalytics.

To start, you can take the Python Assessment Test

A score of 80% or higher means you may want to skip the "beginner" course material.

EPSCOR Hack Week Python Tutorial Schedule

Session	Lecture Topic	Link	Instructor
Session 1A	Why Learn Python?	Intro Presentation	Thompson
Session 1B	Intro to Python Notebooks and Code Sharing		Thompson
Session 1C	Basic Data Principles		Yifru
Session 1D	Control Flow and Loops		Yifru
Session 2A	Functions		Yifru
Session 2B	Basic python modules, packages and libraries		Yifru
Session 2C	Making plots and displaying data		Licata
Session 2D	File Input/Output		Thompson
Session 3A	What is AI and ML?	ML Intro Presentation	Gizzi / Licata
Session 3B	Building a Perceptron		Licata
Session 3C	Intro to TensorFlow/Keras		Licata
Session 3D	TensorFlow/Keras MNIST Classifier		Licata
Session 3E	K-means Clustering		Gizzi
Supplemental	Accessing the Jupyter Hub	Link	Thompson
Supplemental	Intro to Version Control with git		online
Supplemental	Glossary of python terms	Link

Other Python Course Materials

• Goddard ASTG Python courses:
  • Python placement test (if you score >80% you may want to skip the beginner courses): https://docs.google.com/forms/d/e/1FAIpQLSdXdI4yQI0voiZ8AZFYw5yyrXbiZAU87vHJm574PwP9l8IXdA/viewform
  • Beginner Python: https://github.com/astg606/py_courses/tree/master/beginner_python
  • Full Collection of Courses: https://github.com/astg606/py_courses/tree/master/modules

General Python Resources

Books and texts

Two excellent beginner books (both are available online under public license but you can support the developers by purchasing the books):

• "Problem Solving with Python" by Peter D. Kazarinoff https://problemsolvingwithpython.com/
• "The Python Data Science Handbook" by Jake VanderPlas https://jakevdp.github.io/PythonDataScienceHandbook/

Online articles

• "Towards Data Science" has many articles for beginners to advanced levels on coding and development: https://medium.com/towards-data-science/
• "KD Nuggets" was started by a space scientist turned data scientist (Kirk Borne). A great way to keep up on what's happening in data science: https://www.kdnuggets.com/