There is a good set of tools and packages for Python developers that are available today. Python has a large standard library. This is commonly cited as one of Python's greatest strengths. It has modules to create the graphical user interfaces, connecting to relational databases, pseudorandom number generators, arithmetic with arbitrary precision decimals, manipulating regular expressions. In addition, there are high-performance packages to plot 2D and 3D graphics, machine learning and statistical algorithms, and so on.

We have seen that the IDE tools (such as Canopy and Anaconda) have leveraged the efficient development work from a computation and visualization standpoint, among many other areas. There are many effective ways to produce visualization methods using these tools. In the following few chapters, interesting examples will be shown with these tools and packages.