semvec/pypi-packages huggingface dataset:
data-science-portfolio 0.0.1a1
Data Science Portfolio
License: MIT
Requires Python: >=3.7,<4.0

# Data Science Portfolio

[![PyPI](https://img.shields.io/pypi/v/data-science-portfolio.svg)][pypi_]
[![Status](https://img.shields.io/pypi/status/data-science-portfolio.svg)][status]
[![Python Version](https://img.shields.io/pypi/pyversions/data-science-portfolio)][python version]
[![License](https://img.shields.io/pypi/l/data-science-portfolio)][license]

[![Read the documentation at https://data-science-portfolio.readthedocs.io/](https://img.shields.io/readthedocs/data-science-portfolio/latest.svg?label=Read%20the%20Docs)][read the docs]
[![Tests](https://github.com/MoritzM00/data-science-portfolio/workflows/Tests/badge.svg)][tests]
[![Codecov](https://codecov.io/gh/MoritzM00/data-science-portfolio/branch/main/graph/badge.svg)][codecov]

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)][pre-commit]
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)][black]

[pypi_]: https://pypi.org/project/data-science-portfolio/
[status]: https://pypi.org/project/data-science-portfolio/
[python version]: https://pypi.org/project/data-science-portfolio
[read the docs]: https://data-science-portfolio.readthedocs.io/
[tests]: https://github.com/MoritzM00/data-science-portfolio/actions?workflow=Tests
[codecov]: https://app.codecov.io/gh/MoritzM00/data-science-portfolio
[pre-commit]: https://github.com/pre-commit/pre-commit
[black]: https://github.com/psf/black

## Features

- TODO

## Requirements

- TODO

## Installation

You can install _Data Science Portfolio_ via [pip] from [PyPI]:

```console
$ pip install data-science-portfolio
```

## Usage

Please see the [Command-line Reference] for details.

## Contributing

Contributions are very welcome.
To learn more, see the [Contributor Guide].

## License

Distributed under the terms of the [MIT license][license],
_Data Science Portfolio_ is free and open source software.

## Issues

If you encounter any problems,
please [file an issue] along with a detailed description.

## Credits

This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter] template.

[@cjolowicz]: https://github.com/cjolowicz
[pypi]: https://pypi.org/
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[file an issue]: https://github.com/MoritzM00/data-science-portfolio/issues
[pip]: https://pip.pypa.io/

<!-- github-only -->

[license]: https://github.com/MoritzM00/data-science-portfolio/blob/main/LICENSE
[contributor guide]: https://github.com/MoritzM00/data-science-portfolio/blob/main/CONTRIBUTING.md
[command-line reference]: https://data-science-portfolio.readthedocs.io/en/latest/usage.html
django-next-url-mixin 0.4.0
Next url mixin witch doesn't redirect to external website
License: MIT
Keywords: django-next-url-mixin

=============================
Django next url mixin
=============================

.. image:: https://badge.fury.io/py/django-next-url-mixin.svg
    :target: https://badge.fury.io/py/django-next-url-mixin

.. image:: https://travis-ci.org/PetrDlouhy/django-next-url-mixin.svg?branch=master
    :target: https://travis-ci.org/PetrDlouhy/django-next-url-mixin

.. image:: https://codecov.io/gh/PetrDlouhy/django-next-url-mixin/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/PetrDlouhy/django-next-url-mixin

Next url mixin which is safe to phishing attacks

Naive implementation of the next URL mechanism is vulnerable to phishing attacks.
This implementation aims to

1) raise awareness of that
2) provide safe implementation (possibly seen by more eyes)

The mixin does it's work in form_valid() function, so it can be used for offspring of FormView or simillar view classes.

Documentation
-------------

The full documentation is at https://django-next-url-mixin.readthedocs.io.

Quickstart
----------

Install Django next url mixin::

    pip install django-next-url-mixin

Use it in your views:

.. code-block:: python

    from django.views.generic.edit import FormView
    from next_url_mixin import NextUrlMixin

    class MyView(NextUrlMixin, FormView):

        # If you are overriding form_valid(), don't forgot to return the super value with the redirect to the new url
        def form_valid(self, *args, **kwargs):
            return_value = super().form_valid(*args, **kwargs)
            return return_value
      


Running Tests
-------------

Does the code actually work?

::

    source <YOURVIRTUALENV>/bin/activate
    (myenv) $ pip install tox
    (myenv) $ tox

Credits
-------

Tools used in rendering this package:

*  Cookiecutter_
*  `cookiecutter-djangopackage`_

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-djangopackage`: https://github.com/pydanny/cookiecutter-djangopackage




History
-------

0.4.0 (2022-08-22)
++++++++++++++++++

* Added support for Django 4.1

0.3.0 (2022-03-11)
++++++++++++++++++

* Split mixin into GetNextPageMixin to allow usage of only get_next_page()

0.2.0 (2020-06-22)
++++++++++++++++++

* Fix saving POST form

0.1.0 (2020-06-12)
++++++++++++++++++

* First release on PyPI.
pip-services3-kafka 3.1.11
Communication components for Pip.Services in Python
License: MIT

# <img src="https://uploads-ssl.webflow.com/5ea5d3315186cf5ec60c3ee4/5edf1c94ce4c859f2b188094_logo.svg" alt="Pip.Services Logo" width="200"> <br/> Kafka messaging for Pip.Services in Python

This module is a part of the [Pip.Services](http://pipservices.org) polyglot microservices toolkit.

The module contains the following packages:

- **Build** - default Factory for create components
- **Connect** - generate and resolve connection options
- **Queues** - Message queue that create, sends and receives messages

<a name="links"></a> Quick links:

* [Configuration](https://www.pipservices.org/recipies/configuration)
* [API Reference](https://pip-services3-python.github.io/pip-services3-kafka-python/index.html)
* [Change Log](CHANGELOG.md)
* [Get Help](https://www.pipservices.org/community/help)
* [Contribute](https://www.pipservices.org/community/contribute)


## Use

Install the Python package as
```bash
pip install pip-services3-kafka
```

## Develop

For development you shall install the following prerequisites:
* Python 3.7+
* Visual Studio Code or another IDE of your choice
* Docker

Install dependencies:
```bash
pip install -r requirements.txt
```

Run automated tests:
```bash
python test.py
```

Generate API documentation:
```bash
./docgen.ps1
```

Before committing changes run dockerized build and test as:
```bash
./build.ps1
./test.ps1
./clear.ps1
```

## Contacts

The Python version of Pip.Services is created and maintained by
- **Sergey Seroukhov**
- **Danil Prisiazhnyi**