SciPy

More often than not, displaying scientific data for an audience is not a direct or automatic process. While it is true that exhibiting the data can be done via scatter plots or pie charts, there is always a chance the same information can be perceived and interpret differently based on the user looking at the data.

Perhaps, the reason the scientific community had to come up with a solution or a set of tools that enables advanced data processing is to avoid potential confusion and make sure everyone is on the same page when analyzing the same type of information.

SciPy refers to an open source Python library that is commonly used by engineers, analysts and anyone dealing with technical or scientific computing. In other words, it is a collection of modules, links and snippets that enable you to solve various scientific problems.

First off, it is necessary to mention that in order to work with the platform, you need to have Python installed on your computer. Python is a programming environment that enables you to create, edit and execute codes for your own application. A further noteworthy utility is that it allows you to define variables.

The application comes with several core packages, such as Sympy, Matplotlib, NumPy, IPython, pandas and SciPy library that specifically address certain scientific fields, namely mathematics and engineering.

While the aforementioned are the core packages, you should keep in mind that the platform comes with numerous other tools for the computing environment that simplify database creation and advanced data analysis, optimization solvers utensils, interactive shell for debugging and specialized extensions, just to name a few.