Inital Speasy-Lite commit

Signed-off-by: Alexis Jeandet <[email protected]>

Author: jeandet

README.md

@@ -1,83 +1,12 @@
-# Xeus-Lite demo
+# Jupyter Lite and Xeus-lite based Speasy demo
 
-[![lite-badge](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://jupyterlite.github.io/xeus-lite-demo/notebooks/?path=demo.ipynb)
+This repository contains a demo of using [Jupyter Lite](https://jupyterlite.readthedocs.io/en/latest/) with [xeus-lite](https://github.com/jupyterlite/xeus) to run [Speasy](https://speasy.readthedocs.io/en/latest/) in the browser.
 
-This GitHub template allows you to create deployments of JupyterLite with a custom set of conda packages.
+## Getting Started
 
-## 💡 How to make your own deployment
-
-Creating a new deployment can be done in three easy steps:
-
-**Step 1: Apply the GitHub template**
-
-1. Click the **"Use this template"** button in the upper right corner of the GitHub repository.
-2. Choose a name for your project and select the GitHub organization where you want to create it.
-3. Then hit **"Create repository from template"** to finalize the setup.
-
-**Step 2: Enable building the GitHub pages from GitHub actions.**
-
-1. Once your repository is created, enable GitHub Pages by configuring GitHub Actions. This will build and deploy your site automatically.
-2. Your deployment will be accessible at the following URL: https://{USERNAME}.github.io/{DEMO_REPO_NAME}.
-
-**Step 3: Customize your conda environment**
-
-1. Update your ``environment.yml`` file to include the required packages.
-2. This ensures that your environment has all the necessary dependencies.
-
-## 🎬 Visual Guide
-
-For a step-by-step visual guide, check out the screencast below:
-
-![Deploy your own](deploy.gif)
-
-## 📦 How to install kernels and packages
-
-You can install specific kernels and extra packages by adding them to the ``environment.yml`` file.
-
-See https://jupyterlite-xeus.readthedocs.io/en/latest/environment.html for more documentation.
-
-### Example 1: JupyterLite with NumPy and Matplotlib
-
-To create a JupyterLite deployment with NumPy and Matplotlib pre-installed, edit the ``environment.yml`` file as follows:
-
-```yml
-name: xeus-kernel
-channels:
-  - https://repo.prefix.dev/emscripten-forge-dev
-  - https://repo.prefix.dev/conda-forge
-dependencies:
-  - xeus-python
-  - numpy
-  - matplotlib
-```
-
-### Example 2: JupyterLite with R and coursekata
-
-To use the R kernel and the coursekata package, edit the environment.yml file as follows:
-
-```yml
-name: xeus-kernel
-channels:
-  - https://repo.prefix.dev/emscripten-forge-dev
-  - https://repo.prefix.dev/conda-forge
-dependencies:
-  - xeus-r
-  - r-coursekata
-```
-
-### Example 3: JupyterLite with C++
-
-To use the C++ kernel, edit the environment.yml file as follows:
-
-```yml
-name: xeus-kernel
-channels:
-  - https://repo.prefix.dev/emscripten-forge-dev
-  - https://repo.prefix.dev/conda-forge
-dependencies:
-  - xeus-cpp
-```
-
-## 📦 How to install other jupyterlite plugins
-
-If you want to install jupyterlite plugins, e.g. `jupyterlite-terminal`, add those plugins to the `.github/build-environment.yml` file.
+Open the demo directly in your browser using [this link](https://sciqlop.github.io/speasy-lite/) then open the demo notebook `demo.ipynb` located at the root of your Jupyter Lite file browser.
+No installation is required, everything runs in your browser! 
+Because it runs in the browser, some features of Speasy may be limited compared to a full Python environment. The following limitations apply:
+- File system access is restricted, so local caching of data is disabled.
+- HTTP requests are not allowed, so data retrieval from HTTP only online databases is not possible.
+- Because of browser memory limitations, large requests may produce memory errors.

content/demo.ipynb

@@ -5,3 +5,18 @@ channels:
 dependencies:
   - xeus-python
   - ipycanvas
+  - pycdfpp
+  - matplotlib
+  - bqplot
+  - numpy
+  - ipympl
+  - requests
+  - xarray
+  - PyYAML
+  - astropy
+  - scikit-learn
+  - scipy
+  - pip:
+    - humaize
+    - speasy>=1.7.1
+    - astroquery