What can be used for scientific computing and visualization?

Question

Programming

What programming languages/libraries/programs/technologies would you recommend learning for scientific computing and visualization?
Approximate area - differential equations in partial derivatives; it is also interesting what is usually used for statistical data processing.

Answer 1

Python + SymPy + NumPy + Matplotlib

Answer 2

Python is very handy in this regard. Mathematics - SciPy, NumPy and scikit-learn (machine learning, now gaining popularity). For plotting - matplotlib.

Answer 3

Of course, the most popular, powerful and simple: Python + all additional mathematical stat modules and libraries, of which there are many, as well as the well-known R programming and data analysis language, is good and special for mathematics and statistics, including data visualization on high. In fact, most of the world's scientific community now use these two languages, as de facto, no matter how many articles have been encountered, both in the west and in the east. Just the most common tools, but if we talk about the specifics, then in fact, for each task with its own specifics, there is a sharpened language or methodology

Answer 4

For C++, I could n't find anything better than Ultimate++ with its built-in graphs . I use it to solve PDCHP.

Answer 5

R, Julia, SciLab.
In my opinion, Julia is the best, but it appeared relatively recently, many doubt its stability.

Answer 6

Everyone is different. I use C/C++, friendly Germans - Fortran. We solve diffuses.