Books - online Books - on reserve Websites
Severance, C., Python For Everybody, 2016 (freely available online at https://www.py4e.com/book.php)
Emery, W. J. and R. E. Thomson, Data Analysis Methods in Physical Oceanography, 2nd ed., 2013, Elsevier, Amsterdam, ISBN: 978-0-444-50756-3, http://www.sciencedirect.com/science/book/9780444507563 (available for free download on MLML campus)
Green Tea Press - Free books by Allen B. Downey (Includes Think Python, which formed the basis for Python for Everybody listed above) https://greenteapress.com/wp/
https://reserves.calstate.edu/mosslanding/course/611792370002913
Glover, D. M., W. J. Jenkins, and S. C. Doney, Modeling Methods for Marine Science, 2011, Cambridge University Press, Cambridge, UK. ISBN: 9780521867832
Davis, J. C., Statistical and Data Analysis In Geology, 2002, John Wiley & Sons, Hoboken, NJ, ISBN: 978-81-265-3008-3
Milroy, S. W. Field Methods In Marine Science: From Measurements To Models, 2016, Garland Science, New York, NY ISBN: 978-0-8153-4476-6
DeCaria, A. J., Python Programming and Visualization for Scientists, Sundog Publishing, Madison, WI, ISBN: 978-0-9729033-8-7
Kinder, J. M. and P. Nelson, A Student’s Guide To Python for Physical Modeling, 2015, Princeton University Press, ISBN: 978-0-691-16958-3
Haddock, S. H. D. and C. W. Dunn, Practical Computing for Biologists, 2011, Sinauer Associates, Sunderland, MA ISBN: 201003948610.
Shapiro, B. E., Scientific Computation: Python Hacking for Math Junkies, 2016, Sherwood Forest Books, Los Angeles, CA
Stevens, T. J. and Boucher, W., Python Programming for Biology: Bioinformatics and Beyond, 2015, Cambridge University Press, ISBN: 978-0-521-72009-0
Daityari, S., Jump Start Git, 2015. SitePoint Pty. Ltd., VIC, Aus. ISBN: 9780994182654 http://discover.sjlibrary.org/iii/encore_sjsu/record/C__Rb5077409
Tufte, E. R., The Visual Display of Quantitative Information, 1983, Graphics Press, Cheshire, CT
Why learning to code is so damn hard
Understanding the FFT alogorithm (Python tutorial))
Interactive notebooks: sharing the code (Nature)
Reproducible Data Analysis in Jupyter
Become a lord of the cells and speed up your Jupyter workflow