semvec/pypi-packages huggingface dataset:
char-classifer 0.6.0
Neural Network to classify short strings
License: MIT
Keywords: deep-learning machine-learning string classifier

Char Classifier
---------

Given a short phrase, train a neural network to classify it based on the characters that it contains.

The trainer takes in a file of phrases (separated by new line) and a file of target values (separated by new line).

To train on the sample data (parts of speech classification):

```
from phrase_classifier import PhraseClassificationTrainer, PhraseClassifier
p = PhraseClassificationTrainer("sample/words", "sample/parts-of-speech")
p.train([100, 100], 20, 100)
p.save("sample", "example-run")
```

This will save a trained model with the tag 'example-run' in the sample directory. To use that model, run:

```
k = PhraseClassifier("sample", "example-run")
print k.classify("dog")
```
let 1.0.1
Assign variables wherever, whenever you want.
License: MIT
Keywords: let assign assignment var variable conditional if while return

let
===
*Assign variables wherever, whenever you want.*

Installation
------------
Install via pip:

.. code-block:: bash

    $ pip install let

Done.

If you insist on the (slightly) harder way of installing, from source,
you know how to do it already and don't need my help.

I might later upload the source to:
https://github.com/TaylorSMarks/let

Quick Start
-----------
Once you've installed, you can really quickly verified that it works with just this:

.. code-block:: python

    >>> from let import let
    >>> if let(count = len('Hello World!')):
    ...     print(count)
    12

Documentation
-------------
In C, Java, and many other languages, it's possible to assign variables inside
of if or while condition statements. This is useful in allowing you to concisely
both assign the value, and check whether a condition is met.

This ability doesn't exist in Python, because of the thought that when people
write something like:

.. code-block:: python

    if row = db.fetch_results():
        ...

They may have actually meant:

.. code-block:: python

    if row == db.fetch_results():
        ...

Personally, I have never made this mistake. It seems far more like a theoretical
mistake that could plausibly happen than one that actually happens and warrants
removing features, as was chosen in Python.

Anyways, the let function in this module gives you something very close to that
ability in other languages. A few examples:

.. code-block:: python

    if let(name = longInstanceName.longAttributeName):
        ...

    # Yes, db.fetch_results() should just return a generator. No, it doesn't.
    while let(results = db.fetch_results()):
        ...

    if let(count = len(nameValuePair)) != 1:
        raise Exception('Bad amount: {}'.format(count))

Copyright
---------
This software is Copyright (c) 2016 Taylor Marks <taylor@marksfam.com>.

See the bundled LICENSE file for more information.
octogrid 1.3.0
GitHub following network visualizer for Humans
License: MIT
Keywords: github network graph plotly plot chart visualization

octogrid
========

    GitHub following network visualizer for Humans

.. image:: https://img.shields.io/pypi/v/octogrid.svg?style=flat-square
    :target: https://pypi.python.org/pypi/octogrid/
    :alt: Latest Version
    
.. image:: https://img.shields.io/badge/Python-2.6%2C%202.7-brightgreen.svg?style=flat-square
    :target: https://pypi.python.org/pypi/octogrid/
    :alt: Supported Python versions
    
.. image:: https://img.shields.io/pypi/l/octogrid.svg?style=flat-square
    :target: https://pypi.python.org/pypi/octogrid/
    :alt: License

.. image:: https://img.shields.io/pypi/dm/octogrid.svg?style=flat-square
    :target: https://pypi.python.org/pypi/octogrid/
    :alt: Downloads
    
octogrid in action
~~~~~~~~~~~~~~~~~~

`interactive version <https://plot.ly/~octogrid/4/github-network-for-pravj/>`_

.. figure:: https://github.com/pravj/gitpool/raw/master/octogrid/github-network.png
   :alt: Communities in GitHub Following Network for @pravj
    
Installation
~~~~~~~~~~~~
    pip install octogrid
    
If you are facing issues (on Linux) with 'python-igraph', you should consider installing required libraries first.

    apt-get install -y libigraph0-dev
    
How to
~~~~~~
- You need to `create an account <https://plot.ly/>`_ on Plotly to see your visualizations, it's free.
- Once you have an account there, execute the following in your terminal to setup your user credentials.

    python -c "import plotly; plotly.tools.set_credentials_file(username='USERNAME', api_key='APIKEY')"
    
- Your API key can be collected `from here <https://plot.ly/settings/api/>`_.
- All these steps aren't compulsory, though. If you leave them, *octogrid* will create plots via its own account.

Usage
~~~~~
- **octogrid generate [--reset] [--user=<username>]**

    Generate the GML file for user representing its GitHub following graph

- **octogrid publish [--reset] [--user=<username>]**

    Publish the user's GitHub community graph using Plotly
    
**--reset** (*optional*) flag is used to clear the cache storage for a given user

Powered By
~~~~~~~~~~

.. image:: https://github.com/pravj/gitpool/raw/master/octogrid/plotly-logo.png
    :alt: Plotly [Image Credit : Pensrulerstape - Own work, CC BY-SA 4.0, $3]

License
~~~~~~~~~~~~
    MIT © `Plotly <https://plot.ly>`_.
pyad_auth 0.0.2
A simple Active Directory user authorization tool.
License: MIT
Keywords: python microsoft windows active directory AD adsi

pyad_auth
=========
Simple Python library to verify a user's credentials against Active Directory

Requirements
============

* Python >= 2 
* ldap3

Installation
============

* pip install pyad_auth


Usage
=====

* Include pyad_auth in your project
* Use pyad_auth.connect() to connect to the server::

    try:
        server = pyad_auth.connect("myip", port)
    except Exception as e:
        # handle exception
* Use pyad_auth.auth() to verify if the user is in Active Directory::

    try:
        authenticated = pyad_auth.auth(server, "username", "password")
    except Exception as e:
        # handle exception
PyZureML 1.0.5
Python wrapper for the Microsoft Azure Machine Learning webservice endpoint API.
License: MIT
Keywords: pyzure pyzureml microsoft azure machine learning webservice endpoint api wrapper

********
PyZureML
********

| Python wrapper for the Microsoft Azure Machine Learning webservice endpoint API.
| Programmatically create, delete, get and update endpoints for any Azure Machine Learning webservice.

Download
--------

Option 1: Download from PyPi
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

To install via the Python Package Index (PyPI), type:

.. code-block:: python

    pip install PyZureML

Option 2: Clone via Git
~~~~~~~~~~~~~~~~~~~~~~~

To get the source code via Git just type:

.. code-block:: python

    git clone git://github.com/marcardioid/PyZureML.git
    cd ./PyZureML
    python setup.py install

Option 3: Source Zip
~~~~~~~~~~~~~~~~~~~~

Download a zip of the code via GitHub or PyPi. Then, type:

.. code-block:: python

    cd ./PyZureML
    python setup.py install

Requirements
------------

-  Python 3.x
-  Requests

Usage
-----

.. code-block:: python

    from PyZureML import endpoints
    endpoints.create_endpoint(<locale>, <workspace_id>, <api_token>, <webservice_id>, <endpoint_name>, <description>)
    endpoints.delete_endpoint(<locale>, <workspace_id>, <api_token>, <webservice_id>, <endpoint_name>)