Data Science Workspace allows users to create Jupyter Notebooks through the JupyterLab platform where they can create and edit machine learning workflows. JupyterLab is a server-client collaboration tool that allows users to edit notebook documents via a web browser. These notebooks can contain both executable code and rich text elements.
jupyter-repo2docker¶. jupyter-repo2docker is a tool to build, run, and push Docker images from source code repositories.. repo2docker fetches a repository (from GitHub, GitLab, Zenodo, a Git repository or a local directory) and builds a container image in which the code can be executed.
Your first Jupyter Notebook will open in new tab — each notebook uses its own tab because you can If you switch back to the dashboard, you will see the new file Untitled.ipynb and you should see some...
Power BI: Tableau: Power BI is the business data analytics tool to analyze the business and derive insights from it. Tableau is the business intelligence and data analytics tool for generating reports and data visualization with high flexibility.
As an alternative to building your own Docker image with JupyterLab, you can also use the ML Workspace image. The ML Workspace is an open-source web IDE that combines Jupyter, JupyterLab, VS Code, and many other tools & libraries into one convenient Docker image.
About Pangeo’s Binder¶. Much like mybinder.org, the Pangeo’s BinderHub deployment (binder.pangeo.io) allows users to create and share custom computing environments.The main distinction between the two BinderHubs is that Pangeo’s BinderHub allows users to perform scalable computations using Dask Gateway.
Sep 14, 2020 · A new window will open in which you can type the new name for the file (e.g. jupyter-notebook-interface.ipynb). Then, you can select Rename to apply the name change. When you use the Jupyter Notebook dashboard menu to rename Jupyter Notebook files (.ipynb), a new window will open in which you can type the new name of the file.
User interfaces that support this renderer include JupyterLab (requires the jupyterlab-plotly extension), nteract, and the Visual Studio Code notebook interface. jupyterlab, nteract, and vscode¶ These are aliases for plotly_mimetype since this renderer is a good choice when working in JupyterLab, nteract, and the Visual Studio Code notebook ...
Customized workspace distribution is quite useful for teachers or enterprises that want to standardize analytics environments. R-Brain currently offers four base workspace types: Intrinsic, Data Science, TensorFlow, and Spark. For my hands-on evaluation, I created a new Data Science workspace. 1. Intrinsic. SQL, R and Python 3.