1. A tour of data science : learn R and Python in parallel /: learn R and Python in parallel. (2020) Authors: Zhang, Nailong Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Advanced data science and analytics with Python. (2020) Authors: Rogel-Salazar, Jesus Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. An introduction to R and Python for data analysis : a side-by-side approach /: a side-by-side approach. (2023) Authors: Brown, Taylor R Record Type: Book Extent: 1 online resource (249 pages), illustrations (black and white, and colour) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. An introduction to scientific computing with MATLAB and Python tutorials. (2022) Authors: Xu, Sheng Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Applied mathematics with open-source software : operational research problems with Python and R /: operational research problems with Python and R. (2022) Authors: Knight, Vincent (Vincent A.); Palmer, Geraint Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Bayesian modeling and computation in Python. (2021) Authors: Martin, Osvaldo; Kumar, Ravin; Lao, Junpeng Record Type: Book Extent: 1 online resource, illustrations (black and white, and colour) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Computational framework for the finite element method in MATLAB and Python. (2022) Authors: Sumets, Pavel Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Deep learning and scientific computing with R torch. (2023) Authors: Keydana, Sigrid Record Type: Book Extent: 1 online resource (404 pages), illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Discovering computer science : interdisciplinary problems, principles, and Python programming /: interdisciplinary problems, principles, and Python programming. (2020) Authors: Havill, Jessen Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Foundations of statistics for data scientists : with R and Python /: with R and Python. (2021) Authors: Agresti, Alan; Kateri, Maria Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗