This article is going to focus on Python3, a high level language that is often used in data analytics. Jupyter provides many built in languages including R, Julia, and Scala. Using Jupyterīefore creating a Jupyter Notebook you need to decide what language you are going to be coding in. Scp works easily with CSV’s and allows for quick deployment of your Jupyter Notebooks. To move your files onto EC2 you will need to run: scp is a function built to securely copy files over SSH. The easiest way to transfer files into an EC2 server is with scp, which stands for “Secure copy”. Once you connect to your EC2 your terminal will be used to control your server. Copying Databases into an EC2 Serverīefore accessing your Jupyter notebook you should transfer the database files that you would like to develop queries for into your server. Running your notebook on a server allows you to run queries from any computer that has access to your server. Jupyter Notebook provides a portable development environment for easy collaboration and sharing of coding projects. Now that you have learned how to install Jupyter notebooks on an EC2 server, it is time to learn how to use Jupyter notebooks.
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