Add conda-forge installation instructions

.github/workflows/publish.yml

@@ -13,7 +13,7 @@ jobs:
     - uses: actions/checkout@v3
       with:
         fetch-depth: 0
-    
+
     - name: Publish with flit
       env:
         FLIT_USERNAME: ${{ secrets.pypi_username }}

README.rst

@@ -1,6 +1,11 @@
 
-.. image:: https://badge.fury.io/py/viresclient.svg
-    :target: https://badge.fury.io/py/viresclient
+.. image:: https://img.shields.io/pypi/v/viresclient
+   :target: https://pypi.org/project/viresclient/
+   :alt: PyPI
+
+.. image:: https://img.shields.io/conda/vn/conda-forge/viresclient
+   :target: https://anaconda.org/conda-forge/viresclient
+   :alt: Conda
 
 .. image:: https://readthedocs.org/projects/viresclient/badge/?version=latest
     :target: http://viresclient.readthedocs.io/
@@ -13,6 +18,10 @@
 
   pip install viresclient
 
+::
+
+  conda install -c conda-forge viresclient
+
 viresclient_ is a Python package which connects to a VirES server, of which there are two: *VirES for Swarm* (https://vires.services) and *VirES for Aeolus* (https://aeolus.services), through the WPS_ interface. This package handles product requests and downloads, enabling easy access to data and models from ESA's Earth Explorer missions, Swarm_ and Aeolus_. This service is provided for ESA by EOX_. For enquiries about the service and problems with accessing your account, please email info@vires.services. For help with usage, please email ashley.smith@ed.ac.uk (for Swarm data) or `raise an issue on GitHub`_.
 
 .. _viresclient: https://github.com/ESA-VirES/VirES-Python-Client

docs/installation.rst

@@ -6,50 +6,67 @@ Installation and First Usage
 1. Installation
 ---------------
 
-Python ≥ 3.6 is required. Testing is primarily on Linux, but macOS and Windows should also work.
+Python ≥ 3.6 is required. Testing is primarily on Linux, but macOS and Windows should also work. Available through both pip and conda (conda-forge).
 
-It can currently be installed with::
+.. tabs::
+
+  .. group-tab:: pip
+
+    .. code-block:: sh
+
+      pip install viresclient
 
-  pip install viresclient
+  .. group-tab:: conda
 
-Dependencies::
+    .. code-block:: sh
 
-  requests
-  Jinja2
-  tables
-  tqdm
-  cdflib
-  pandas
-  xarray
-  netCDF4
+      conda install --channel conda-forge viresclient
 
-pip will fetch these automatically - if you are using conda, it may be better to install these first using conda instead (where available)::
+  .. group-tab:: mamba
 
-    conda install requests jinja2 pytables tqdm pandas xarray netcdf4
-    pip install viresclient
+    .. code-block:: sh
+
+      mamba install --channel conda-forge viresclient
 
 Recommended setup if starting without Python already
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-1. Install Miniconda: https://docs.conda.io/en/latest/miniconda.html
+There are many ways to work with Python. We recommend using conda/mamba to manage your programming environment because of the availability of many data science packages through conda.
+
+.. tabs::
+
+  .. group-tab:: conda
+
+    1. Install Miniconda: https://docs.conda.io/en/latest/miniconda.html
+
+    2. Set the conda-forge channel as the priority to install packages from::
+
+        conda config --add channels conda-forge
+        conda config --set channel_priority strict
+
+    You should do this to avoid mixing packages from the anaconda channel (which can result in broken environments), and try to get all packages from conda-forge where available for consistency.
+
+    3. Create a new conda environment with some recommended packages, including viresclient::
+
+        conda create --name myenv python=3.10 jupyterlab scipy matplotlib pandas xarray cartopy h5py netCDF4 pytables ipywidgets viresclient
 
-2. Set the conda-forge channel as the priority to install packages from::
+    4. Activate the new environment (you do this each time you want to use it)::
 
-    conda config --add channels conda-forge
-    conda config --set channel_priority strict
+        conda activate myenv
 
-3. Create a new conda environment with some recommended packages::
+  .. group-tab:: mamba
 
-    conda create --name myenv scipy matplotlib pandas xarray cartopy jupyter jupyterlab flake8 dask h5py netCDF4 jinja2 pytables tqdm ipywidgets
+    `Mamba <https://mamba.readthedocs.io/>`_ is a drop-in replacement for conda. You can install it into an existing (base) conda environment (``conda install -c conda-forge mamba``) and then just use ``mamba`` in place of ``conda`` in any commands - mamba is significantly faster. You can also install *mambaforge* directly to get mamba and conda-forge immediately configured in the base environment.
 
-  Activate the new environment (you do this each time you want to use it)::
+    1. Download and install the `mambaforge installer <https://github.com/conda-forge/miniforge#mambaforge>`_ or check the `mamba documentation <https://mamba.readthedocs.io/en/latest/installation.html>`_
 
-    conda activate myenv
+    2. Create a new environment for your development work::
 
-4. Use pip to install viresclient::
+        mamba create --name myenv python=3.10 jupyterlab scipy matplotlib pandas xarray cartopy h5py netCDF4 pytables ipywidgets viresclient
 
-    pip install viresclient
+    3. Activate it to use it::
 
+        mamba activate myenv
 
 
 2. First usage / Configuration

docs/release_notes.rst

@@ -4,6 +4,13 @@ Release notes
 Change log
 ----------
 
+Changes from 0.11.0 to 0.11.1
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+- ``viresclient`` package now available through conda-forge
+- Added parameter to Swarm ``MAG`` collections: ``dF_Sun``
+- Added GOCE ML magnetic dataset: ``GO_MAG_ACAL_CORR_ML``
+
 Changes from 0.10.3 to 0.11.0
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^