Introduction to Python Numpy

Numpy is Python open source packages which make the numerical computing possible in Python using N dimensional array. This forms the foundation of other data munging and manipulation packages such as Pandas.

Let’s look at why Numpy is needed. Assume that we want to add members of two lists as shown in the below example.


As you can see from the above example, numerical computing is possible in Python largely due to Numpy.

Let’s dig deeper into other aspects on Numpy.







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

Installing a package using anaconda prompt is as simple as the line shown below. In this case we are installing a package called Seaborn on anaconda prompt. You can go to the anaconda prompt by typing anaconda prompt in the search menu.

conda install seaborn

Please note that sometimes the anaconda prompt may not let you install new packages and display certain errors like “access denied“. In that case you need to right click on the anaconda prompt shortcut and start as an administrator.

If your conda prompt screen is getting too cluttered you can always clear the screen by typing the command “cls”