Introduction to Python SciPy

Scipy is a Python open source package used for the scientific computing across many domains such as engineering, mathematics, sciences etc. Here are some examples of Scipy.

Let’s say that that income of a company’s employees is normally distributed with mean of 10,000 USD and standard deviation of 1,000 USD. Approximately what percent of the employees will be earning 11,000 USD of salary or less?

This can be easily accomplished using SciPy.  The answer is 84.1% of employees.

scipy1.png

We can also say that 100-84.1% or roughly 16% of employees may be earning higher than 11,000 USD.

scipy2.png

Here in another example on how we can pick a random sample from a particular normal distribution.

scipy3

Cheers!

Install and check Python Packages

Here are some examples on how you can check that necessary packages are installed in the python environment and check their version before moving forward. These are some of the must have packages. If any of the packages are not installed, you can do the anaconda install using conda prompt.  Further directions are shown in the link 

You can search for any package in anaconda environment by using the following code-

anaconda search -t conda seaborn

Python_version

Cheers!