Use Python to do scientific calculations

A guide is summarized here, mainly for students who have just started to do data mining and data analysis.

Say statistical analysis tools you must think of something like Excel,spss,sas,matlab and R language. The R language is the fire in this, its strength is the powerful drawing function and powerful rich statistical package, through this platform you can understand some of the implementation of the statistical preface. The only problem with it is the performance issue. So sometimes you need to borrow python.

Using the R language you may need to rstudio this tool.

Python has a fairly rich range of modules in any area, and the scientific computing realm is no exception, and you can look at the Python wiki and find the relevant groups.

You might get the same answer by using some of the libraries associated with them, where numpy and Scipy,matplotlib are very well-known three libraries

Using Python to do scientific calculations there are some clues to this book, although the methods of learning these libraries are always in the document

You may also need some development tools, the Spyder and Ipython are highly recommended. However you don't need one by one to install these things, Anaconda contains all of these things you need, of course including Python interpreter, common scientific computing module, Conda Package Management tool, Ipython and Spyder.

These tools may not make you proficient in the statistical model approach, and you need to read some related books.  

Use Python to do scientific calculations