Getting Started

Installation

1. Install Python 3.11 or later.

2. Create a Python 3.11+ virtual environment. This example uses the venv module in the standard library to create a virtual environment in your current directory. You may prefer a single python-envs in your home directory instead of the current directory. You may also prefer conda or mamba.

   $ python -m venv .venv
   

3. Activate the virtual environment.

   UNIXWindows Command PromptWindows PowerShell

   $ source .venv/bin/activate
   

   Whenever you are done using stride, you can deactivate the environment by running deactivate.

4. Install the Python package stride.

   pip PyPIpip git+httpclone httpclone ssh

   $ pip install stride-load-forecast
   

Typical Workflow

1. Download Datasets

2. Create a project

3. Explore project data on the command line

4. Visually inspect project data

5. Modify a project

6. Export data

7. Access data programmatically