semvec/pypi-packages huggingface dataset:
atd-email-util-dev 0.0.2
Python utilities for sending emails with a gmail account.

# atd-email-util (emailutil)
Python utilities for sending emails with a gmail account.


## Installation

Master branch:

```
pip install atd-email-util
```

Development branch:

```
pip install atd-email-util-dev
```

## License

As a work of the City of Austin, this project is in the public domain within the United States.

Additionally, we waive copyright and related rights of the work worldwide through the [CC0 1.0 Universal public domain dedication](https://creativecommons.org/publicdomain/zero/1.0/).
twisted-ipython 2.0.0
An IPython extension for running twisted code
Keywords: IPython,twisted,crochet


# twisted_ipython

An [IPython](https://ipython.org/) extension that uses [crochet](https://github.com/itamarst/crochet) to enable running [Twisted](https://twistedmatrix.com/trac/) in IPython and [Jupyter](https://jupyter.org/) notebooks.

## The Short Short Version

Install this package into your Jupyter notebook's kernel. Then, load the extension:

    %load_ext twisted_ipython

and then turn on autoawait for Twisted:

    %autoawait twisted

and with a helper for the demo

```python
from twisted.internet import reactor
from twisted.internet.defer import Deferred


def sleep(t):
    d = Deferred()
    reactor.callLater(t, d.callback, None)
    return d
```

we can now use async/await in cells like so:

```python
print('Going to sleep...')

await sleep(1)

print('I HAVE AWAKENED!')
```

## I Want To Know More!

Check out the much more complete [README.ipynb](https://github.com/jfhbrook/twisted_ipython/blob/master/README.ipynb)!
sqlalchemy-plus 0.2.0
Create Views and Materialized Views with SqlAlchemy

# SQL Alchemy Plus

This package provide additional package definition for SqlAlchemy
that are specific for PostgreSQL and other database.

Here are the currently supported features (database supported):
* View (PostgreSQL)
* Materialized View (PostgreSQL)


## Installation

Install SQL Alchemy Plus using pip

```bash
pip install sqlalchemyplus
```

## Quick start

**Define a View or a Materialized View programmatically**

```
from sqlalchemy import Table, select, Column, MetaData, Integer, String
from sqlalchemyplus import View

metadata = MetaData()
table = Table('mytable',
              metadata,
              Column('key', Integer),
              Column('value', String))

select_table = table.select()
view = View(
    'myview',
    metadata,
    select_table
)

```

**Create and drop a view**

```
from sqlalchemy import create_engine
from sqlalchemyplus import CreateView, DropView

engine = create_engine("postgresql://example:example@localhost:5432/mydatabase")

view = View(
    'myview',
    metadata,
    select_table
)

# Execute 'CREATE VIEW myview AS (...)'
engine.execute(CreateView(view))

# Execute 'DROP VIEW myview'
engine.execute(CreateView(view))
```