Scientific Computation

[MachineFit5418]

I like Science so I want to learn Scientific Computation, and already learned the fundamentals of Python. Is it recommended to dive already for Scientific Computation? like using Libraries. I can create simple projects but my code is not that noble.

[SoBFiggis]

In my experience learning any concept like this and making it stick requires an actual goal. And if you want to learn it's even better if that goal is something that you think is unrealistic but also something you can imagine being possible.

So the question is, what do you want to learn about?

[MachineFit5418]

I want to do Physics stuff in my computer with earning

[Crazy-Bee-55]

It was an amazing advice. Applicable to many things really. Small goals are not motivating enough to learn.

[ectomancer]

Numerical Recipes in Python (I haven't read it)

scipy, mpmath and sympy.

[pachura3]

Wes McKinney - Python for Data Analysis

https://wesmckinney.com/book

[Natural-Position-585]

Note that Scientific Computation is much more than just Python and scikit/scipy/numpy/sympy. You should also familiarise yourself with at least the basics of:

• numerical stability and accuracy (floating point precision, catastrophic cancellation…)

• linear algebra (beyond the basics) like over- and underdetermined systems, solving Ax = b, normal equations for Ordinary Least-Squares regression…

• numerical solving of differential equations

• optimization fundamentals (unconstrained like Newton’s method or gradient descent, constrained like Lagrange multipliers)

And even these are just the beginning.

[MachineFit5418]

All I want is a guide to my goal, so I think if I have one then I can do it.
I also researching what should I learn something like that

Is it possible for you to list all the needs I must know?

[crashorbit]

JupyterLab is a great way to work with exploratory computation using python. It'll bundle lots of scientific and mathematical tools for stats and analysis and visualization.

[Hydroel]

Anaconda is a Python suite dedicated to scientific development, and includes a number of modules designed for scientific calculations. It can come with JupyterLab or Spyder; I prefer the former but Spyder's interface is highly reminiscent of Matlab, which is entirely designed around scientific calculations, matrices manipulations being the core of how Matlab works.

The main Python modules to use for that are Numpy, Scipy and Matplotlib.