Merge pull request #2 from mcbarton/Update-readme

Update README.md to only talk about xeus-cpp kernel

Author: anutosh491

README.md

@@ -1,79 +1,5 @@
-# Xeus-Lite demo
+# Xeus-cpp-wasm demo
 
-[![lite-badge](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://jupyterlite.github.io/xeus-lite-demo/notebooks/?path=demo.ipynb)
+This repo demostrates the capabilities of the latest release version of the xeus-cpp JupyterLite kernel
 
-This GitHub template allows you to create deployments of JupyterLite with a custom set of conda packages.
-
-## 💡 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
-```
+[![lite-badge](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://compiler-research.org/xeus-cpp-wasm/lab/index.html)