how to determine which python jupyter notebook to use

For instance, you could create a directory within a project titled notebooks where Jupyter Notebook data is stored for that project and can be included in version control.įor this guide we will create a directory named cameras since we will be working with camera data: mkdir cameras & cd cameras Let’s get started with installing Jupyter Notebooks:įirst navigate to a directory where you want to store your Jupyter Notebook data. Jupyter Notebooks are a convenient way to building a single document containing live code, data visualizations and text notes to document the process with minimal effort. In this step we are going to install Jupyter Notebooks, a web application that runs on a local web server. Anaconda is recommended for Jupyter Notebooks so I will be using anaconda to install packages. A package manager for Python which will most likely be pip or anaconda.A local development environment for Python 3.Prerequisitesīefore you begin this guide you’ll need the following: When you’re finished, you’ll be able to create scatter plots to visualize patterns in a CSV data set. All of the commands are for MacOS but can be adapted for other operating systems. Along the way we will also use Anaconda to manage python versions and libraries. This guide will show you how to get started by loading a CSV data set, setup Jupyter Notebooks and visual the data with a notebook. These tools combined with the vibrant ecosystem of python libraries for data science provides a powerful way to understand large data sets. In this guide, you will use Python and Jupyter Notebooks to quickly visualize a CSV dataset.

How to determine which python jupyter notebook to use