Skip to main content

Data Science, Nuclear Engineering and the Open Source

Data science, nuclear engineering, the importance of interdisciplinary data science and the open source.

Mar 2018

Photo of Katy Huff
Guest
Katy Huff

Katy is an Assistant Professor in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois where she leads the Advanced Reactors and Fuel Cycles research group.  She is additionally a Blue Waters Assistant Professor with the National Center for Supercomputing Applications. She was previously a Postdoctoral Fellow in both the Nuclear Science and Security Consortium and the Berkeley Institute for Data Science. Through leadership within Software Carpentry, SciPy, the Hacker Within, and the Journal of Open Source Software she also advocates for best practices in open, reproducible scientific computing.


Photo of Hugo Bowne-Anderson
Host
Hugo Bowne-Anderson

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.

Related

SQL vs Python: Which Should You Learn?

In this article, we will cover the main features of Python and SQL, their main similarities and differences, and which one you should choose first to start your data science journey.

Javier Canales Luna

12 min

Text Data In Python Cheat Sheet

Welcome to our cheat sheet for working with text data in Python! We've compiled a list of the most useful functions and packages for cleaning, processing, and analyzing text data in Python, along with clear examples and explanations, so you'll have everything you need to know about working with text data in Python all in one place.
DataCamp Team's photo

DataCamp Team

4 min

Python Sets and Set Theory Tutorial

Learn about Python sets: what they are, how to create them, when to use them, built-in functions and their relationship to set theory operations.
DataCamp Team's photo

DataCamp Team

13 min

Pandas Tutorial: DataFrames in Python

Explore data analysis with Python. Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.
Karlijn Willems's photo

Karlijn Willems

35 min

Understanding Data Drift and Model Drift: Drift Detection in Python

Navigate the perils of model drift and explore our practical guide to data drift monitoring.
Moez Ali 's photo

Moez Ali

9 min

How to Create a Histogram with Plotly

Learn how to implement histograms in Python using the Plotly data visualization library.
Kurtis Pykes 's photo

Kurtis Pykes

12 min

See MoreSee More