semvec/pypi-packages huggingface dataset:
moya 0.6.20
web development platform
License: MIT

Moya
====

Moya is a platform for the rapid development of modern web applications.

Installation
------------

You can install from PyPi with the following:

::

    pip install moya

Or download the repos and run the following:

::

    python setup.py install

Which ever method you use, this will add a ``moya`` command line
application.

Quick Start
-----------

Moya quick start will create a basic web application based on your
specifications in seconds.

Run the following to get started:

::

    moya start project

Example Projects
----------------

In addition to the ``example projects`` directory in the Moya repos, you
can check out the following complete projects:

-  `Moya Techblog <https://github.com/moyaproject/moya-techblog>`__ A
   blogging application for coders and photographers

-  `Bean Counter <https://github.com/moyaproject/beancounter>`__ A
   virtual currency platform

-  `Encrypted Notes <https://github.com/moyaproject/notes>`__ An
   encrypted note taking application

-  `Social Links <https://github.com/moyaproject/sociallinks>`__ A
   social linking (Reddit like) application

-  `Short URL <https://github.com/moyaproject/shorturl>`__ A super
   simple URL shortener application

Running a project
-----------------

Navigate to the project directory you want to run, then do the
following:

::

    moya init

This will initialize the database and users system. You only need to do
this once.

To run a development server, do the following:

::

    moya runserver

And navigate to http://127.0.0.1:8000

Package Index
-------------

Find packages for Moya on the `Moya Package
Index <https://packages.moyaproject.com>`__.

Install packages ``moya-pm`` which comes with Moya:

::

    moya-pm install moya.sociallinks

More Information
----------------

-  `Moya Homepage <http://www.moyaproject.com/>`__
-  `Moya's Documentation <http://docs.moyaproject.com/>`__
-  `Developer's Blog <https://www.willmcgugan.com/tag/moya/>`__
baka_model 0.18.7
Baka: Skeleton framework built top of pyramid, baka_model for sqlalchemy
License: MIT
Keywords: model,sqlalchemy,framework

Baka model add-ons
==================

`Baka_model <https://github.com/suryakencana/baka_model>`_. is add-ons baka framework built top of pyramid that provides an SQLAlchemy
declarative ``Base`` alias model.Model and a add method on ``request.db``.


Usage
-----

You can use these as base classes for declarative model definitions, e.g.

.. code:: python

    from base_model.model import Model

        class MyModel(Model):
        """Example model class."""

        __tablename__ = 'base.mymodel'

        @classmethod
        def do_first(cls, session):
            instance = session.query(cls).first()


Register Model
--------------

using baka_model, you can apply dependency injection method for model that has been created.

.. code:: python

    def includeme(config):
        config.register_model('base.MyModel')


    # in view handler request
    @route('/my.model', renderer='json')
    def view_mymodel(request):
        MyModel = request.find_model('base.mymodel')
        mymodel = MyModel()
        mymodel.name = 'user model'
        mymodel.address = 'user address'
        mymodel.phone = '0089800-998'
        request.db.add(mymodel)

        return {'success': True}


Install
-------

Install with ``.ini`` file

.. code:: bash
    pyramid.includes =
        baka_model
        pyramid_debugtoolbar
        pyramid_mailer


Install with code

.. code:: python

    def includeme(config):
        config.include('baka_model')
stxmnorm 0.0.10
Normalization techniques for STXM images.
License: MIT
Keywords: stxm images normalization

STXM Normalization
=======================

STXM Normalization is a PyQt-based graphical user interface. It allows for normalization of images
collected in the TwinMic beamline through Scanning transmission x-ray microscopy (STXM) imaging technique.


----

README
""""""""""""""""" 

**Introduction**

To do.

**Installation**

For standard Python installations, install stxmnorm using pip:

.. code:: bash

    pip install -U pip setuptools
    pip install stxmnorm

**Usage**

Once the installation has finished just type on the command line:

.. code:: bash

    stxmNorm

**Requirements**

* `Python 2.7 <https://www.python.org/downloads/>`_.
* `Setuptools <https://setuptools.readthedocs.io/en/latest/>`_.
* `Matplotlib <https://matplotlib.org/>`_.
* `H5Py <http://www.h5py.org/>`_.
* `NumPy <http://www.numpy.org/>`_.
* `PyQt5 <http://pyqt.sourceforge.net/Docs/PyQt5/installation.html>`_.
* `SIP <https://www.riverbankcomputing.com/software/sip/download>`_.

**To fix**

*