semvec/pypi-packages huggingface dataset:
django-contactforms 2.0
Django Contact Form Package

Introduction
--------------

django-contactforms is a very simple application package. It's help you create your contact forms. Please refer to the tests to see how it's done.

Prerequisites
---------------

- Django 3+
- Python 3+

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

Directly install from [PyPi](https://pypi.org/project/django-contactforms/ "PyPi")

To install this just type:

```
pip install django-contactforms
```

After installation is complete:

1. add 'contactforms' to your INSTALLED_APPS directive and
2. migrate: `./manage.py migrate contactforms`
3. or if you don't: `./manage.py makemigrations contactforms`
4. And then migrate again: `./manage.py migrate contactforms`

URL configuration
----------------------

The easiest way to set up the views in ``django-contactforms`` is to just use the provided ``URLconf``, found at ``contactforms.urls``.
You can include it wherever you like in your site's URL configuration; for example, to have it live at the URL ``/contact/``:

```
    from django.urls import path, include

    urlpatterns = [
        # ....
        path('contact/', include('contactforms.urls')),
    ]
```

Usage
----------------------

A basic usage of django-contactforms could be (example):

Added this line in home file or where you using contact forms.
```
    {% include "contact/contact.html" %}
```

Create contact.html

```django
# templates/contact/contact.html
 <div class="row">
  <form action="{% url 'contact' %}" method="post">
    <h3>Send a Message</h3>
    {% csrf_token %}
    <div class="form-group">
      {% if messages %}
        {% for message in messages %}
        <span{% if message.tags %} class="{{ message.tags }}"{% endif %} style="color: green">{{ message }}</span>
        {% endfor %}
      {% endif %}
    </div>
    <div class="form-group">
      {{ forms.name }}
    </div>
    <div class="form-group">
      {{ forms.email }}
    </div>
    <div class="form-group">
      {{ forms.subject }}
    </div>
    <div class="form-group">
      {{ forms.message }}
    </div>
    <button class="btn btn-primary" type="submit">Submit</button>
  </form>
</div>
```


A note on the authors of this project
--------------------------------------

Hello, I am Sajib Hossain. I am the author of this project. If you face problem to install or setup this package please feel free to contact with me. I always try to help you. If you want to add someting in this package always welcome to pull request.

Contact Me
----------------------

[Facebook](https://web.facebook.com/sajib1066 "Facebook")
[Twitter](https://twitter.com/sajib1066 "Twitter")
[Linkedin](https://www.linkedin.com/in/sajib1066/ "Linkedin")
[Website](https://sajib1066.github.io/ "Website")
pycoll 0.0.2.1
Find Area of Square, Rectangle, Triangle and Parallelogram

# PyColl

PyColl package is a collection of functions which can be used find the area of Square, Rectangle, Triangle and Parallelogram.

## Installations

Type or Copy the pip code and paste it into your terminal.

     pip install pycall

## Usage

To use this pycoll module in to your program, you can simply import the functions which you want to use:

    import pycoll as pc

    pc.area_parallelogram(15, 20)

**Functions available in the package:**



    #pass one parameter
    pycoll.area_square(side) 

    #pass two parameter
    pycoll.area_rectangle(length, breadth)

    #pass two parameter
    pycoll.area_triangle(base, height)

    #pass two parameter
    pycoll.area_parallelogram(base, height)

## Additional links

You can also get it from pypi.org or contribute at GitHub

https://github.com/sachinshrmaa/pycoll

https://pypi.org/project/pycoll/
stock-price-alerts 0.0.2
Realtime alerts when your stocks cross thresholds
Requires Python: >=3.6

# stock-price-alerts
[![Build Status](https://travis-ci.com/alex4108/stock_price_alert_system.svg?branch=master)](https://travis-ci.com/alex4108/stock_price_alert_system)

A script that can send alerts when a stock prices crosses a given threshold.

# Installation
1. `pip install stock-price-alerts`
2. Copy `src/config_example.yml` to your machine
3. Modify config_example.yml to your liking, rename it to what you wish.  See [Configuration]
4. `stock-price-alerts --config /path/to/your/config.yml`

# Configuration
In `config_example.yml`, you can see a skeleton configuration.

Configuration consists of 2 main parts:

* ApplicationConfig
    * LogLevel: The desired verbosity of your logs
    * SlackAlert: For each object in the SlackAlert List, the script will end an alert to the Endpoint using the BotToken
    * SNSAlert: For each item in the SNSAlert List, an SMS will be sent using AWS SNS.

* Symbols
    This is the bread and butter.  You configure symbols you want to watch, set the alarm tresholds, and set the Type of bitstamp or yahoo for the datasource.
    

## Alerts

### SNS Configuration

This client can call Amazon Web Services Simple Notification Service (AWS SNS) to deliver a text message.
This requires you to configure your `aws-cli` by executing `aws configure` and configuring the default profile with a set of keys generated by AWS IAM.

### Slack Configuration

To set up the slack integration, create a slack app: `https://api.slack.com/apps`

You want to implment "Permissions" on your app, specifically you want to add the Bot Token Scope, `chat:write`.  This is done under the `https://api.slack.com/apps/{your_app_id}/oauth?` page

After you have enabled the chat:write permission, you'll install your app from the left hand menu.

Once installed, grab your Bot User OAuth Access Token, and insert it to the `config.yml` as the `BotToken` parameter

Then, configure your `Endpoint`.
If your `Endpoint` is a USER, you must feed the Slack Member ID, see here: `https://help.workast.com/hc/en-us/articles/360027461274-How-to-find-a-Slack-user-ID`

If your `Endpoint` is a channel, get the channel ID from your browser as discussed here: `https://www.wikihow.com/Find-a-Channel-ID-on-Slack-on-PC-or-Mac`

# Requirements
* Python >=3.6

# Optional Parameters

`--config [FILENAME]` defines an alertnate configuration file.  Default is config.yml

`--sleep` amount of seconds to sleep between loops, if `--loop` is enabled.

`--loop` causes the program to stay in an infinite loop.  requires a `--sleep` parameter

## Example Usage

`stock-price-alerts --help`
`stock-price-alerts --config /home/alex/stock-price-alerts.yml`
`stock-price-alerts --loop --sleep 3600` to sleep 30 minutes between checks.
machine-learning-lab-dashboard 0.4.6
Dashboard for Lab: Organize Machine Learning Experiments
Keywords: machine learning

.. image:: https://raw.githubusercontent.com/lab-ml/dashboard/master/images/dashboard_logo.png
   :width: 150
   :alt: Dashboard Logo
   :align: center

Lab Dashboard
==============

This is the web dashboard for `Lab <https://github.com/lab-ml/lab/>`_.

`�� Slack workspace for discussions <https://join.slack.com/t/labforml/shared_invite/zt-cg5iui5u-4cJPT7DUwRGqup9z8RHwhQ/>`_

`�� Documentation <http://lab-ml.com/>`_

Here are some screenshots.

.. image:: https://raw.githubusercontent.com/lab-ml/dashboard/master/images/screenshots/dashboard_table.png
   :width: 100%
   :alt: Dashboard Screenshot

.. image:: https://raw.githubusercontent.com/lab-ml/dashboard/master/images/screenshots/dashboard_run.png
   :width: 100%
   :alt: Dashboard Screenshot

Install
-------

.. code-block:: console

    pip install machine_learning_lab_dashboard

Running
-------

Navigate to the path of the project and run the following command to start the server.

.. code-block:: console

    lab dashboard