semvec/pypi-packages huggingface dataset:
pynsist 2.8
Build NSIS installers for Python applications.
Requires Python: >=3.6

Pynsist is a tool to build Windows installers for your Python applications. The
installers bundle Python itself, so you can distribute your application to
people who don't have Python installed.

For more information, see `the documentation <https://pynsist.readthedocs.io/en/latest/>`_
and `the examples <https://github.com/takluyver/pynsist/tree/master/examples>`_.

Pynsist 2.7 requires Python 3.6 or above.
You can use `Pynsist 2.6 <http://pynsist.readthedocs.io/en/2.6/>`_ on Python 3.5,
and `Pynsist 1.x <http://pynsist.readthedocs.io/en/1.12/>`_ on Python 2.7 and
Python 3.3 or above, but these versions won't get further updates.

Quickstart
----------

1. Get the tools. Install `NSIS <http://nsis.sourceforge.net/Download>`_, and
   then install pynsist from PyPI by running ``pip install pynsist``.

2. Write a config file ``installer.cfg``, like this:

   .. code-block:: ini
   
       [Application]
       name=My App
       version=1.0
       # How to launch the app - this calls the 'main' function from the 'myapp' package:
       entry_point=myapp:main
       icon=myapp.ico

       [Python]
       version=3.6.3

       [Include]
       # Packages from PyPI that your application requires, one per line
       # These must have wheels on PyPI:
       pypi_wheels = requests==2.18.4
            beautifulsoup4==4.6.0
            html5lib==0.999999999

       # To bundle packages which don't publish wheels, or to include directly wheel files
       # from a directory, see the docs on the config file.

       # Other files and folders that should be installed
       files = LICENSE
           data_files/

3. Run ``pynsist installer.cfg`` to generate your installer. If ``pynsist`` isn't
   found, you can use ``python -m nsist installer.cfg`` instead.

This example illustrates how to use Pynsist by itself, for simple projects.
There are other options which can make it easier to integrate as a step in
a more complex build process. See the docs for more information.
metricstable 0.0.1
Description: metrics for regression

        metrics for regression
        
Keywords: python,regression,metrics,adj r2_score,r2_score,rmse
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
aicore-nb 1.0.3
Create a notebook with questions for AiCore students

# Teaching Tools

Run `python aicore_nb_tool` in your terminal and let the magic happen.

You can also install the package to work in any directory and without worrying about dependencies. Simply run `pip install aicore-nb-tools`, and once installed run `python -m aicore_nb_tool`. It will ask you for the API token, please, ask the team how to get one.

The script connects to an S3 bucket with the questions. Those questions are stored usign the lesson id, and in order to get those ids, it connects to an RDS to make a query to check it.