Metadata-Version: 2.1
Name: publishtutorial
Version: 0.0.3
Summary: Hello!
Home-page: https://github.com/matteobollettino/publish_tutorial
Author: Matteo Bollettino
Author-email: matteo.bollettino@moxoff.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: meteostat
Requires-Dist: pandas ==2.0.3
Provides-Extra: dev
Requires-Dist: check-manifest >=0.49 ; extra == 'dev'
Requires-Dist: pytest >=3.7 ; extra == 'dev'
Requires-Dist: twine >=4.0.2 ; extra == 'dev'

# Publish package tutorial

## Installation
Create a virtualenv and then install the library
```bash
pip3 install publishtutorial
```

## Usage
```python
from myfunc import say_hello, average

# Generate "Hello, World!"
say_hello()

# Generate "Hello, Everybody!"
say_hello("Everybody")

# Compute average between two numbers (default values are 1 and 2)
average()

# Compute average between two numbers (2.5)
average(2,3)
```

## Developing
To install publishtutorial,
 along with the tools you need to develop and run tests,
 run the following in your virtualenv:
```bash
$ pip3 install -e .[dev]
```


Credits to: [Coding Tech](https://www.youtube.com/watch?v=GIF3LaRqgXo&t=3s)

