Note: The tab in your browser is your JupyterLab environment. Run the command `jupyter lab` in the address bar as shown in the following figure. Alternatively, from the same directory, you can run the command from a command line, powershell, or terminal.Īfter you press Enter, a terminal opens and runs some code before opening a new tab in your default browser.Navigate to the directory that you want to work in.Once prerequisites are met, you can start JupyterLab: (Installing JupyterLab automatically installs the `jupyter` Python library.) (For more information, see Installing Packages in the Python Packing User Guide.) You must have the `jupyter` Python library installed.You should read the Jupyter/IPython Notebook Quick Start Guide and view the Jupyter content in the Ansys Introduction to Python Scripting video. If you are reading this as part of an Ansys Codefest, you should jump to the "Codefest" section in the article! Prerequisites This quick start is as applicable to Ansys Lab users as JupyerLab users. All common PyAnsys libraries and other useful libraries, such as Matplotlib and NumPy, are pre-installed on Ansys Lab. Within Ansys, employees have access to Ansys Lab, which is a remote server running JupyterLab. This quick start shows how to use Jupyter notebooks in JupyterLab. JupyterLab is an interactive development environment (IDE). They are used extensively in teaching because of their simplicity and versatility. Jupyter notebooks are a common Python instruction tool. A modular design invites extensions to expand and enrich functionality." Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. According to the Jupyter website, "JupyterLab is the latest web-based interactive development environment for notebooks, code, and data.
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