semvec/pypi-packages huggingface dataset:
ansys-extra-cool 1.0.0
Template PyAnsys library
License: MIT
Requires Python: >=3.7

PyAnsys Library Template
########################

This repository is a template repository where you can `Create a
repository from a template`_ and create a new PyAnsys project that
follows the guidelines specified in the `PyAnsys Developer's Guide`_.

The following sections should be filled and documented for your project.

.. _Create a repository from a template: https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-repository-from-a-template
.. _PyAnsys Developer's Guide: https://github.com/pyansys/about


Project Overview
----------------
Provide a description of your PyAnsys Python library.


Installation
------------
Include installation directions.  Note that this README will be
included in your PyPI package, so be sure to include ``pip``
directions along with developer installation directions.  For example.

Install <PyAnsys Library> with:

.. code::

   pip install ansys-<product/service>-<library>

Alternatively, clone and install in development mode with:

.. code::

   git clone https://github.com/pyansys/
   cd <PyAnsys-Library>
   pip install poetry
   poetry install

This creates a new virtual environment, which can be activated with

.. code::

   poetry shell

Documentation
-------------
Include a link to the full sphinx documentation.  For example `PyAnsys <https://docs.pyansys.com/>`_


Usage
-----
It's best to provide a sample code or even a figure demonstrating the usage of your library.  For example:

.. code:: python

   >>> from ansys.<product/service> import <library>
   >>> my_object.<library>()
   >>> my_object.foo()
   'bar'


Testing
-------
You can feel free to include this at the README level or in CONTRIBUTING.md


License
-------
Be sure to point out your license (and any acknowledgments).  State
that the full license can be found in the root directory of the
repository.
ansys-product-library 1.2.2
Template PyAnsys library
License: MIT
Requires Python: >=3.7

PyAnsys Library Template
########################

This repository is a template repository where you can `Create a
repository from a template`_ and create a new PyAnsys project that
follows the guidelines specified in the `PyAnsys Developer's Guide`_.

The following sections should be filled and documented for your project.

.. _Create a repository from a template: https://docs.github.com/en/repositories/creating-and-managing-repositories/creating-a-repository-from-a-template
.. _PyAnsys Developer's Guide: https://github.com/pyansys/about


Project Overview
----------------
Provide a description of your PyAnsys Python library.


Installation
------------
Include installation directions.  Note that this README will be
included in your PyPI package, so be sure to include ``pip``
directions along with developer installation directions.  For example.

Install <PyAnsys Library> with:

.. code::

   pip install ansys-<product/service>-<library>

Alternatively, clone and install in development mode with:

.. code::

   git clone https://github.com/pyansys/
   cd <PyAnsys-Library>
   pip install poetry
   poetry install

This creates a new virtual environment, which can be activated with

.. code::

   poetry shell

Documentation
-------------
Include a link to the full sphinx documentation.  For example `PyAnsys <https://docs.pyansys.com/>`_


Usage
-----
It's best to provide a sample code or even a figure demonstrating the usage of your library.  For example:

.. code:: python

   >>> from ansys.<product/service> import <library>
   >>> my_object.<library>()
   >>> my_object.foo()
   'bar'


Testing
-------
You can feel free to include this at the README level or in CONTRIBUTING.md


License
-------
Be sure to point out your license (and any acknowledgments).  State
that the full license can be found in the root directory of the
repository.
prophet-freddy 1.0.2
Automatic Forecasting Procedure
License: MIT
Requires Python: >=3

# Prophet: Automatic Forecasting Procedure

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

Prophet is [open source software](https://code.facebook.com/projects/>)  released by [Facebook's Core Data Science team ](https://research.fb.com/category/data-science/).

Full documentation and examples available at the homepage: https://facebook.github.io/prophet/

## Important links

- HTML documentation: https://facebook.github.io/prophet/docs/quick_start.html
- Issue tracker: https://github.com/facebook/prophet/issues
- Source code repository: https://github.com/facebook/prophet
- Implementation of Prophet in R: https://cran.r-project.org/package=prophet

## Other forecasting packages

- Rob Hyndman's [forecast package](http://robjhyndman.com/software/forecast/)
- [Statsmodels](http://statsmodels.sourceforge.net/)

## Installation

```shell
pip install prophet
```
Note:  Installation requires PyStan, which has its [own installation instructions](http://pystan.readthedocs.io/en/latest/installation_beginner.html).
On Windows, PyStan requires a compiler so you'll need to [follow the instructions](http://pystan.readthedocs.io/en/latest/windows.html).
 The key step is installing a recent [C++ compiler](https://visualstudio.microsoft.com/visual-cpp-build-tools/)

## Installation using Docker and docker-compose (via Makefile)

Simply type `make build` and if everything is fine you should be able to `make shell` or alternative jump directly to `make py-shell`. 

To run the tests, inside the container `cd python/prophet` and then `python -m unittest`

### Example usage

```python
  >>> from prophet import Prophet
  >>> m = Prophet()
  >>> m.fit(df)  # df is a pandas.DataFrame with 'y' and 'ds' columns
  >>> future = m.make_future_dataframe(periods=365)
  >>> m.predict(future)
  ```
icndb-sdk 0.0.1
A simple Python SDK for some Chuck Norris jokes
License: MIT

# icndb-sdk

Unofficial SDK for some Chuck Norris jokes.

## Getting Started

```shell
python3 -m venv venv
source venv/bin/activate
pip install icndb-sdk
```

## Examples

```python
In [1]: from icndb_sdk import API

In [2]: chuck = API()

In [3]: chuck.get_jokes_random()
Out[3]:
{'type': 'success',
 'value': [{'id': 203,
   'joke': 'Chuck Norris can lead a horse to water AND make it drink.',
   'categories': []}]}

In [4]: chuck.get_jokes_specific(id_number=503)
Out[4]:
{'type': 'success',
 'value': {'id': 503,
  'joke': 'Chuck Norris protocol design method has no status, requests or responses, only commands.',
  'categories': ['nerdy']}}

In [5]: PARAMS = {"firstName": "Julio", "lastName": "PDX"}

In [6]: chuck.get_jokes_specific(params=PARAMS, id_number=503)
Out[6]:
{'type': 'success',
 'value': {'id': 503,
  'joke': 'Julio PDX protocol design method has no status, requests or responses, only commands.',
  'categories': ['nerdy']}}

In [7]:
```