JupyterThemes with JPlot for Python

JupyterThemes is a great tool to enhance the aesthetics of your notebooks. With its many themes, you can easily change the look and feel of Jupyter Notebooks.

JPlot is a plotting library for Python that allows you to create beautiful, interactive plots with just a few lines of code. It is built on top of the popular Bokeh library.

Combining these two powerful tools, you can make your Jupyter Notebooks both visually appealing and informative. Here's an example:

# Importing necessary libraries
import jplot as jp
from bokeh.sampledata import iris

# Creating the plot
p = jp.plot(
    iris,
    ('petal_length', 'petal_width'),
    hue='species',
    alpha=0.5,
    legend=True
)

# Displaying the plot
jp.show(p)

With just a few lines of code, we have created an interactive scatter plot of the iris dataset, highlighting the different species with different colors. This plot is not only visually appealing, but also informative, allowing us to explore the relationships between the features of the dataset.

So, if you want to make your Jupyter Notebooks stand out, give JupyterThemes and JPlot a try!