Installing Bokeh on MacOS

Method 1: Installation Using PIP

Step 1: Users who like pip can install the bokeh module on macOS by writing the following command in the terminal:

pip install bokeh

After the installation is complete, you will get a similar message.

Step 2: Now we need to verify that Bokeh has been successfully installed on the system by running the following command in the terminal:

pip show bokeh

The following output is obtained:

Method 2: Installation Using Conda

Step 1: As above, users who like Conda can install the Bokeh module on macOS with the help of the following command in Terminal:

conda install bokeh

Enter y when prompted. Once the installation is complete, you will receive a similar message.

Step 2: Now we need to verify that Bokeh has been successfully installed on the system by running the following command in the terminal:

conda list bokeh

The following output is obtained:

Data visualization is the graphical representation of information and data with the help of charts and graphs. There are different types of well-known data visualization libraries like Matplotlib, Seaborn or Plotly for presenting information and data in the form of charts and graphs. Bokeh is also a data visualization library in Python that provides powerful interactive charts and graphs. Bokeh charts can be embedded in Django and Flask applications. In this article, we will see an easy way to install Bokeh modules on macOS.

Pre Requisites

Here are some recommendations for installing the Bokeh module on macOS:

• Python
• PIP or Conda (Depending upon user preference).