Conda setup

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. 

README.md

@@ -17,7 +17,7 @@
     <a href='https://forms.gle/XKv3ejrshkCi3FJE6'>
         <img src='https://img.shields.io/static/v1?label=email&message=signup&color=brightgreen' alt='Mailing List'  align="center"/>
     </a>
-    <a href='https://mybinder.org/v2/gh/lux-org/lux-binder/master'>
+    <a href='https://mybinder.org/v2/gh/lux-org/lux-binder/master?urlpath=lab/'>
         <img src='https://img.shields.io/badge/launch-binder-579ACA.svg?logo=data:image/png;base64,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' alt='Binder'  align="center"/>
     </a>
     <a href="https://codecov.io/gh/lux-org/lux">
@@ -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
 

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