- #DESKTOP IPYNB VIEWER HOW TO#
- #DESKTOP IPYNB VIEWER INSTALL#
- #DESKTOP IPYNB VIEWER FREE#
Keyboard shortcuts: Does this service use the same keyboard shortcuts as the Jupyter Notebook? Interface similarity: If the service provides a "Jupyter-like" interface (rather than the native Jupyter interface), how similar is its interface to Jupyter? (This makes it easier for existing Jupyter users to transition to this service.)
#DESKTOP IPYNB VIEWER INSTALL#
Supported languages: Does this service support any programming languages other than Python?Ībility to install packages: Does this service allow you to install additional packages (or a particular version of a package), beyond the ones that are already installed? Here are the criteria on which I compared each of the six services: Note: If you just want a quick summary, check out the comparison table. Similar services which were not reviewed.
#DESKTOP IPYNB VIEWER HOW TO#
How to choose the right service for you. Since all of these are cloud-based services, none of them will work for you if you are restricted to working with your data on-premise. They support the Python language (and most support other languages as well). They allow you to import and export notebooks using the standard. They give you access to the Jupyter Notebook environment (or a Jupyter-like environment). #DESKTOP IPYNB VIEWER FREE#
They are completely free (or they have a free plan). They don't require you to install anything on your local machine. All of them have the following characteristics: In this post, I'm going to review six services you can use to easily run your Jupyter notebook in the cloud. However, the recipient can only interact with the notebook file if they already have the Jupyter Notebook environment installed.īut what if you want to share a fully interactive Jupyter notebook that doesn't require any installation? Or, you want to create your own Jupyter notebooks without installing anything on your local machine? There are many ways to share a static Jupyter notebook with others, such as posting it on GitHub or sharing an nbviewer link. Python Six easy ways to run your Jupyter Notebook in the cloud.
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