1. Jupyter for data science : exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter /: exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter. (2017) Authors: Toomey, Dan Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Learning Jupyter : learn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter /: learn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter. (2016) Authors: Toomey, Dan Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Mastering scientific computing with R. (2015) Authors: Gerrard, Paul; Johnson, Radia M Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Scientific computing with Python : high-performance scientific computing with NumPy, SciPy, and pandas /: high-performance scientific computing with NumPy, SciPy, and pandas. (2021) Authors: Führer, Claus; Verdier, Olivier; Solem, Jan Erik Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗