diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index a6598459..ad2ce1a9 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -73,3 +73,6 @@ make html
This generates all the HTML documentation files in `doc/_build/html/`. The configuration file `conf.py` contains information related to Sphinx settings. The Sphinx documentations are written as ReStructuredText (`*.rst` files) and mostly stored in the `source/` folder. The documentation inside `source/reference` is auto-generated by Sphinx. The repository is linked with [ReadTheDocs](https://readthedocs.org/projects/lux-api/), which triggers the build for the latest documentation based on the most recent commit. As a result, we do not commit anything inside `doc/_build` in the Github repository.
+# Updating the Conda Recipe
+
+In order to update the conda recipe on conda forge, you can follow the steps [here](https://conda-forge.org/#update_recipe). The conda recipe needs to be updated when either a new dependency is added or when the version number needs to be updated in the case of a new release.
diff --git a/README.md b/README.md
index 0899ea35..693a6e76 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
-
+
@@ -32,7 +32,7 @@ Lux is a Python library that makes data science easier by automating aspects of
Here is a [1-min video](https://www.youtube.com/watch?v=qmnYP-LmbNU) introducing Lux, and [slides](http://dorisjunglinlee.com/files/Zillow_07_2020_Slide.pdf) from a more extended talk.
-Try out Lux on your own in a live Jupyter Notebook [here](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=tree/demo/cars_demo.ipynb)!
+Try out Lux on your own in a live Jupyter Notebook [here](https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=lab/tree/demo/cars_demo.ipynb)!
# Getting Started
@@ -139,7 +139,13 @@ To get started, Lux can be installed through [PyPI](https://pypi.org/project/lux
pip install lux-api
```
-This installation includes the Lux Jupyter widget frontend, [lux-widget](https://pypi.org/project/lux-widget/).
+If you use [conda](https://docs.conda.io/en/latest/), you can install Lux via:
+
+```bash
+conda install -c conda-forge lux-api
+```
+
+Both the PyPI and conda installation include includes the Lux Jupyter widget frontend, [lux-widget](https://pypi.org/project/lux-widget/).
## Setup in Jupyter Notebook, VSCode
diff --git a/conda.recipe/meta.yaml b/conda.recipe/meta.yaml
new file mode 100644
index 00000000..33e43a36
--- /dev/null
+++ b/conda.recipe/meta.yaml
@@ -0,0 +1,43 @@
+{% set name = "lux-api" %}
+{% set version = "0.2.2" %}
+
+
+package:
+ name: {{ name|lower }}
+ version: {{ version }}
+
+source:
+ url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/lux-api-{{ version }}.tar.gz
+ sha256: 01c5605a16b6130f159ab7d1d9d4ffd6fdc49ea854d9ab0f6481194e701c4a1f
+
+build:
+ number: 0
+ noarch: python
+ script: {{ PYTHON }} -m pip install . -vv
+
+requirements:
+ host:
+ - pip
+ - python >=3.6
+ run:
+ - python >=3.6
+ - scipy >=1.3.3 altair>=4.0.0 numpy>=1.16.5 pandas>=1.1.0 scikit-learn>=0.22
+
+test:
+ imports:
+ - lux
+ - lux._config
+ commands:
+ - pip check
+ requires:
+ - pip
+
+about:
+ home: https://github.com/lux-org/lux
+ summary: A Python API for Intelligent Data Discovery
+ license: Apache-2.0
+ license_file: LICENSE
+
+extra:
+ recipe-maintainers:
+ - dorisjlee