README.md: Mentioned new installation option vie pypi.

README.md

@@ -14,7 +14,14 @@ Pyicon is hosted at: (https://gitlab.dkrz.de/m300602/pyicon/)
 
 ## Quick start for pyicon 
 
-Download pyicon with git:
+You can install pyicon via pip:
+
+```bash
+pip install pyicon-diagnostics
+```
+
+However, if you want to use the most recent development version, it is advisable to
+download pyicon with git:
 
 ```bash
 git clone git@gitlab.dkrz.de:m300602/pyicon.git
@@ -27,10 +34,11 @@ cd pyicon
 pip install -e ./
 ```
 
-To assure that all necessary requirements are met, install them e.g. by
+If you notice that some requirements were not met by the installation, you can 
+also use conda to install the requirements:
 
 ```bash
-conda env create -f ci/requirements_py39.yml
+conda env create -f ci/requirements_latest.yml
 ```
 
 or on DKRZ's super computer Levante use
@@ -40,6 +48,12 @@ module load python3/2023.01-gcc-11.2.0
 pip install healpy
 ```
 
+To update pyicon, you only need to enter the pyicon directory update the git repository via
+
+```bash
+git pull
+```
+
 ## Quick start for pyicon @DWD (Confluence, only intern)
 https://ninjoservices.dwd.de/wiki/display/KUQ/pyICON+for+ICON+with+NWP+physics
 
@@ -58,4 +72,4 @@ pip install git+https://gitlab.dkrz.de/m300602/pyicon.git
 ```
 
 ## Developing
-When adding new functions, make sure to document them with a docstring. This should detail what the function does, the arguments and what type of objects it returns. Examples are encouraged. We use so-called "numpy" style docstrings which are then automatically rendered into the sphinx documentation. A guide to numpy style docstrings is available [here](https://numpydoc.readthedocs.io/en/latest/format.html) and they even produce some nice [examples](https://numpydoc.readthedocs.io/en/latest/example.html#example).
+When adding new functions, make sure to document them with a docstring. This should detail what the function does, the arguments and what type of objects it returns. Examples are encouraged. We use so-called "numpy" style docstrings which are then automatically rendered into the sphinx documentation. A guide to numpy style docstrings is available [here](https://numpydoc.readthedocs.io/en/latest/format.html) and they even produce some nice [examples](https://numpydoc.readthedocs.io/en/latest/example.html#example).
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