Examples#
The intent of these examples is to show how the visualization itkwidgets visualization tools can provide you with insights into image processing, statistical analysis. You can follow along with the instructions given below in the App tab. All sections below use the Python Scientific Computing stack.
To get started, you can call piplite.install(<package-name>)
, which downloads and installs packages from Pypi.
Note: You have to wait for a little while to get the packages installed before proceding to the next cell on your notebook.
NumPy Arrays#
NumPy is a Python library for multidimensional array containers with vector operations.
SciPy#
SciPy is a Python library that offers computational routines for technical and scientific computing. It offers modules for linear algebra, integration, interpolation, ODE solvers, optimization, etc.
Pandas#
Pandas is a Python library that offers data structures and operations for manipulating data types and data series.