View on GitHub

dash-app

The GreatFull Plate Internship Projects . Dashboards include visualizations and written analysis, all used to create a final report about insurance data.

Download this project as a .zip file Download this project as a tar.gz file

Home | Data Cleaning | Report | R Analysis | Conclusions | Docker | MySQL | Jupyter Notebook | Troubleshooting | About | Works Cited

Using a Python Virtual Environment

Installing virtualenv Virtual Environment:

sudo -H pip3 install virtualenv

Initializing a Virtual Environment:

virtualenv name

Activating a Virtual Environment:

source name/bin/activate

Installing packages inside the Virtual Environment:

pip install jupyterlab #installs jupyter notebook

Deactivating the environment, i.e. shutting it off:

deactivate

Opening Jupyter Notebook (from the terminal):

jupyter notebook

Always make sure that your Operating System (OS) supports these commands. They all have to be executed from an elevated terminal (i.e. as an administrator). The terminal must also support Unix commands.

OS used for this demonstration: Ubuntu 20.04.1 LTS

Or Try Jupyter Notebook From The Browser
Languages supported: Python, Ruby, R, C++, Julia, Scheme, and more.

If you host your Notebooks on GitHub, you could create your own environment using Binder.

Jupyter Notebook with C++ and Python support: here

Jupyter.org documentation.