semvec/pypi-packages huggingface dataset:
ezsend 0.0.4
Ezsend, the easiest way to send mail and texts in python
Requires Python: >=3.6

﻿# Ezsend Documentation
#### Installation
Ezsend can be installed using pip
To install open your terminal/command prompt and enter:
`$pip install ezsend`

#### Importing ezsend
Before you can use ezsend you must import ezsend
To do that open your python shell and enter the following command:
`import ezsend`

#### Adding your email account
Before you can text or email with ezsend you must add your email account
To add your account enter the following command:
`ezsend.add(youremail, youremailaccountpassword, thenameyouwouldliketonameyouraccount)`

#### Sending an email
To send an email enter the following command:
`ezsend.send(thenameyounamedyouraccount, thereceiversemail, thesubjectofyourmessage, thebodyofyourmessage)`

#### Sending a text
To send a text enter the following command:
`ezsend.text(thenameyounamedyouraccount, thereceiversemail, the receiverscarrier, thesubjectofyourmessage, thebodyofyourmessage)`

#### Example - Adding
Lets say I wanted to add a account named "gmail"
```
import ezsend
ezsend.add('gmail', 'myemail@provider.com', 'myemailaccountpassword')
```
#### Example - Email
Lets say I wanted to send an email to "example@provider.com"  with a subject of "Hi" and a body of "Hello"
```
import ezsend
ezsend.send('gmail', 'example@provider.com', 'Hi', 'Hello')
```
#### Example - Text
Lets say I wanted to send a text to "2345678901"  with a subject of "Hi" and a body of "Hello"
```
import ezsend
ezsend.text('gmail', '2345678901', 'carrier:verizon', 'Hi', 'Hello')
```
projectneutron-backend 0.4
Revmo backend
Requires Python: >=3.7

# Project Neutron

v0.4
The Revmo Ingestion and Computation engine. 
Code by @fadesibert using early CSVs

To run:

git clone fadesibert/projectneutron

./install.sh

./revmo.sh

There are some tweakable arguments in both install.sh and revmo.sh - based on whether you want to download metadata, use the example data etc.
The example CSV in input/graphs (copied from src/example-data/graphs) gives you the CSV filename and structure.

Requires: 
* Docker (and a runnable Docker neo4j image - but this can be autoconfigured for you)
* Some sample CSV data (or VCFs)
* various python libraries - which are by default autoinstalled for you. Best to have a clean venv when you run the script - though we can add that to the install script if needed

###There are now interactive APIs###
If you run the installer (installs demo data) and then revmo.sh - you should have a working docker environment to launch
the API from.

You can then run the webserver with
`gunicorn wsgi:app -w 4 -k uvicorn.workers.UvicornWorker`

and navigate to localhost:8000/redoc to see the API docs and query
your sample database