diff --git a/MANIFEST.in b/MANIFEST.in
index 01e66245..d1b43661 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,3 +1,4 @@
prune statistical-clear-sky/fixtures
prune notebooks
-prune docs
\ No newline at end of file
+prune docs
+prune tests
\ No newline at end of file
diff --git a/README.md b/README.md
index 05fa5c79..d54fcf7d 100644
--- a/README.md
+++ b/README.md
@@ -22,17 +22,17 @@
-
-
+
+
-
-
+
+
License |
-
+
|
@@ -70,8 +70,8 @@
Conda Downloads |
-
-
+
+
|
@@ -126,12 +126,15 @@ $ pip install "solar-data-tools[mosek]"
#### Install with conda
>[!WARNING]
-> When installing solar-data-tools using conda, you will need to add three channels, conda-forge, slacgismo, and stanfordcvxgrp, to your conda config (or alternatively specify them using the `-c` flag as shown in the examples below). Failure to do so will result in the installation of an outdated solar-data-tools version. Note that we will be moving solar-data-tools to conda-forge soon, which will simplify the installation process. Check back soon for an update! For more on conda channels, see the [conda docs](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-channels.html).
+> `solar-data-tools` is now available on conda-forge! You can specify
+> the channel using the `-c` flag as shown in the examples below.
+> The use of the slacgismo channel is **deprecated** and packages
+> on that channel will **not** be up-to-date with the latest releases.
Creating the environment and directly installing the package and its dependencies from the appropriate conda channels:
```bash
-$ conda create -n pvi-user solar-data-tools -c conda-forge -c slacgismo -c stanfordcvxgrp
+$ conda create -n pvi-user solar-data-tools -c conda-forge
```
Starting the environment:
@@ -149,7 +152,7 @@ $ conda deactivate
Or alternatively install the package in an already existing environment:
```bash
-$ conda install solar-data-tools -c conda-forge -c slacgismo -c stanfordcvxgrp
+$ conda install solar-data-tools -c conda-forge
```
### Solvers
diff --git a/docs/source/getting_started/install.md b/docs/source/getting_started/install.md
index 28fc36a0..c2cfda7f 100644
--- a/docs/source/getting_started/install.md
+++ b/docs/source/getting_started/install.md
@@ -17,20 +17,16 @@ $ pip install "solar-data-tools[mosek]"
## Install with conda
```{warning}
-When installing solar-data-tools using conda, you will need to add three channels,
-conda-forge, slacgismo, and stanfordcvxgrp, to your conda config (or alternatively
-specify them using the `-c` flag as shown in the examples below). Failure to do so will
-result in the installation of an outdated solar-data-tools version. Note that we will be
-moving solar-data-tools to conda-forge soon, which will simplify the installation process.
-Check back soon for an update! For more on conda channels, see the
-[conda docs](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-channels.html).
+`solar-data-tools` is now available on conda-forge! You can specify
+the channel using the `-c` flag as shown in the examples below.
+The use of the slacgismo channel is **deprecated** and packages
+on that channel will **not** be up-to-date with the latest releases.
```
Creating the environment and directly installing the package and its dependencies from the appropriate conda channels:
```bash
-$ conda create -n pvi-user solar-data-tools -c conda-forge -c slacgismo -c stanfordcvxgrp
-```
+$ conda create -n pvi-user solar-data-tools -c conda-forge
Starting the environment:
@@ -47,7 +43,7 @@ $ conda deactivate
Or alternatively install the package in an already existing environment:
```bash
-$ conda install solar-data-tools -c conda-forge -c slacgismo -c stanfordcvxgrp
+$ conda install solar-data-tools -c conda-forge
```
# Solvers
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 58e9e6d8..d789b61f 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -7,15 +7,15 @@
:width: 600
:class: only-light
:align: center
-
+https://github.com/enterprises/slacstanford
Welcome to the Solar Data Tools Docs!
=====================================
-|PyPI release| |Anaconda Cloud release|
+|PyPI release| |Conda-forge release|
.. |PyPI release| image:: https://img.shields.io/pypi/v/solar-data-tools.svg
:target: https://pypi.org/project/solar-data-tools/
-.. |Anaconda Cloud release| image:: https://anaconda.org/slacgismo/solar-data-tools/badges/version.svg
- :target: https://anaconda.org/slacgismo/solar-data-tools
+.. |Conda-forge| image:: https://anaconda.org/conda-forge/solar-data-tools/badges/version.svg
+ :target: https://anaconda.org/conda-forge/solar-data-tools
Solar Data Tools is an open-source Python library for analyzing PV power (and irradiance) time-series data.
It was developed to enable analysis of unlabeled PV data, i.e. with no model, no meteorological data, and no performance