release v0.0.1

README.md

@@ -1,7 +1,7 @@
 # UADAPy - Uncertainty-aware Data Analysis with Python
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 
-![Alt text](image.png)
+![Teaser image](https://raw.githubusercontent.com/UniStuttgart-VISUS/uadapy/main/image.png)
 
 UADAPy is a Python library to support an easy analysis of uncertain data.
 
@@ -12,8 +12,9 @@ The library provides:
 ## Installation
 So far the library is very much work in progress, but you can already use it via pip:
 ```
-pip install git+https://github.com/UniStuttgart-VISUS/uadapy
+pip install uadapy
 ```
 
 ## Documentation
 You can find the documentation here: https://unistuttgart-visus.github.io/uadapy/
+

publish_lib.sh

@@ -0,0 +1,19 @@
+#!/bin/sh
+# build the library
+./build_lib.sh
+# get latest version of 'twine'
+python3 -m pip install --upgrade twine
+if [ $# -eq 0 ]
+then
+  echo "Publishing to test.pypi. If you want to publish for real, use the argument 'notest'"
+  # publish to test.pypi
+  twine upload -r testpypi dist/*
+elif [ $1 = notest ]
+then
+  echo "Publishing to pypi."
+  twine upload dist/*
+else
+  echo "Unexpected argument $1"
+  echo "For publishing to pypu use 'notest', or provide no argument to publish to test.pypi."
+fi
+

pyproject.toml

@@ -3,15 +3,15 @@ requires = ["setuptools>=62.6"]
 build-backend = "setuptools.build_meta"
 
 [project]
-name = "UADAPy"
-version = "0.0.3"
+name = "uadapy"
+version = "0.0.1"
 description = "A software package for uncertainty-aware data analysis with Python"
 authors = [
-  { name = "David Hägele", email = "[email protected]"},
-  { name = "Marina Evers", email = "[email protected]"},
-  { name = "Patrick Paetzold", email = "[email protected]"},
-  { name = "Ruben Bauer", email = "[email protected]"},
-  { name = "Nikhil Bhavikatti", email = "[email protected]"},
+  { name = "David Hägele"},
+  { name = "Marina Evers"},
+  { name = "Patrick Paetzold"},
+  { name = "Ruben Bauer"},
+  { name = "Nikhil Bhavikatti"},
 ]
 license = { file = "LICENSE" }
 readme = "README.md"