v0.2

README.md

@@ -1,4 +1,4 @@
-# datespan - convenient data span parsing & handling
+# datespan - effortless date span parsing and management
 
 ![GitHub license](https://img.shields.io/github/license/Zeutschler/datespan?color=A1C547)
 ![PyPI version](https://img.shields.io/pypi/v/datespan?logo=pypi&logoColor=979DA4&color=A1C547)
@@ -9,7 +9,7 @@
 ![codecov](https://codecov.io/github/Zeutschler/datespan/graph/badge.svg?token=B12O0B6F10)
 
 -----------------
-A Python package for convenient **data span** parsing and handling. 
+A Python package for effortless date span parsing and management. 
 Aimed for data analysis and processing, useful in any context requiring date & time spans.   
 
 ```bash

datespan/__init__.py

@@ -34,7 +34,7 @@ def parse(datespan_text: str,  parser_info: parserinfo | None = None) -> DateSpa
         The DateSpanSet instance contain 0 to N DateSpan objects derived from the given text.
 
     Examples:
-        >>> DateSpanSet.evaluate('last month')  # if today would be in February 2024
+        >>> DateSpanSet('last month')  # if today would be 2024-02-12
         DateSpanSet([DateSpan(datetime.datetime(2024, 1, 1, 0, 0), datetime.datetime(2024, 1, 31, 23, 59, 59, 999999))])
     """
     return DateSpanSet(definition=datespan_text, parser_info=parser_info)

pyproject.toml

@@ -3,8 +3,8 @@ requires = ["setuptools >= 61.0"]
 build-backend = "setuptools.build_meta"
 
 [project]
-name = "datespanlib"
-description = "A library for handling date spans."
+name = "datespan"
+description = "Effortless date span parsing and management."
 keywords = ['python', 'datetime', 'timespan', 'pandas', 'numpy', 'spark', 'data analysis', 'sql', 'dataframe', ]
 classifiers = [
     "Intended Audience :: Science/Research",
@@ -37,12 +37,12 @@ dependencies = [
 ]
 
 [project.urls]
-Homepage = "https://github.com/Zeutschler/DateSpanLib"
-Documentation = "https://github.com/Zeutschler/DateSpanLib"
-Repository = "https://github.com/Zeutschler/DateSpanLib.git"
-Issues = "https://github.com/Zeutschler/DateSpanLib/issues"
-Changelog = "https://github.com/Zeutschler/DateSpanLib/CHANGELOG.md"
-pypi = "https://pypi.org/project/datespanlib/"
+Homepage = "https://github.com/Zeutschler/datespan"
+Documentation = "https://github.com/Zeutschler/datespan"
+Repository = "https://github.com/Zeutschler/datespan.git"
+Issues = "https://github.com/Zeutschler/datespan/issues"
+Changelog = "https://github.com/Zeutschler/datespan/CHANGELOG.md"
+pypi = "https://pypi.org/project/datespan/"
 
 [tool.setuptools.dynamic]
-version = {attr = "datespanlib.__version__"}
+version = {attr = "datespan.__version__"}

setup.py

@@ -1,40 +1,23 @@
 # -*- coding: utf-8 -*-
 # datespan - Copyright (c)2024, Thomas Zeutschler, MIT license
-# setup.py for cubedpandas
 
 from setuptools import setup
 from setuptools import find_packages
-from datespan import VERSION as DATESPANLIB_VERSION
+from datespan import VERSION
 
 
 # ...to run the build and deploy process to pypi.org manually:
 # 1. delete folder 'build'
 # 1. empty folder 'dist'
 # 2. python3 setup.py sdist bdist_wheel   # note: Wheel need to be installed: pip install wheel
 # 3. twine upload -r  pypi dist/*         # note: Twine need to be installed: pip install twine
-
-# ... via Github actions
+# ... via GitHub actions see
 # https://packaging.python.org/en/latest/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/
 
-VERSION = DATESPANLIB_VERSION
-DESCRIPTION = "DateSpan - A date and time span parsing and utilization library for data analysis and processing"
+DESCRIPTION = "datespan - effortless date span parsing and management"
 LONG_DESCRIPTION = """
-A Python library for handling and using data and time spans. 
-
-```python
-from datespan import DateSpan
-
-ds = DateSpan("January to March 2024")
-print("2024-04-15" in ds + "1 month")  # returns True  
-```
-
-The DateSpanLib library is designed to be used for data analysis and data processing, 
-where date and time spans are often used to filter, aggregate or join data. But it 
-should also be valuable in any other context where date and time spans are used.
-
-It provides dependency free integrations with Pandas, Numpy, Spark and others, can 
-generate Python code artefacts, either as source text or as precompiled (lambda) 
-functions and can also generate SQL fragments for filtering in SQL WHERE clauses.
+A Python package for effortless date span parsing and management. 
+Aimed for data analysis and processing, useful in any context requiring date & time spans.
 """
 
 setup(
@@ -49,7 +32,7 @@
         "Topic :: Scientific/Engineering",
         "Topic :: Scientific/Engineering :: Information Analysis",
         "Topic :: Scientific/Engineering :: Mathematics",
-        "Development Status :: 2 - Pre-Alpha",
+        "Development Status :: 3 - Alpha",
         "License :: OSI Approved :: MIT License",
         "Operating System :: OS Independent",
         "Environment :: Console",