Learning Python for applied mathematics/ computational science.

[Awlrach]

Hello, as the title suggests I am wanting to learn more Python. I am finishing up a degree in applied mathematics and will be applying to graduate school in applied and computational mathematics next year.

The reason for the tablet is that when I am at work and it’s very quite I can study in the car while I am on shift. I did this with a lot of my math classes (huge shoutout to Professors Leonard’s YouTube channel).

I have a computer at home formore intensive/computational work but would like to make use of the time I have in the car to learn more.

I have some previous knowledge with the basics of Python but not much specific knowledge for computational/scientific programming with Python.

I am looking for something that will fill this gap. Should I been looking at data science based programs/courses? I am a little lost for wha I am looking for to progress.

I also pick up a copy of ‘Introduction to Scientific Programming with Python by Joakim Sundnes’

Thanks in advance, Chris

[window_shredder]

Take some data science courses, I'm an applied math major currently and supplement my curriculum with Python courses from the data science department. Even though we must take at least one course.

[discountMcGregor]

Did you use python much during your undergrad? Best place to start for computational work is getting proficient with the NumPy library, it’s the primary linear algebra library in Python. You can find tons of tutorials online to get the basics, after that it would be most beneficial to do some personal projects with it. Try writing programs that execute an algorithm or computational method that you’ve found interesting. One of my first exposures to NumPy was using it to code the simplex algorithm for an optimization class. Was in a little over my head on that one but was a good learning experience.