semvec/pypi-packages huggingface dataset:
asqlite-dev 1.0.0
A simple and easy to use async wrapper for sqlite3.
License: MIT
Requires Python: >=3.5.3

### asqlite

A simple and easy to use async wrapper for `sqlite3`.

This is basically the same as `sqlite3` except you use `async with` and `await` in front of most operations.

```python
import asyncio
import asqlite

async def main():
    async with asqlite.connect('example.db') as conn:
        async with conn.cursor() as cursor:
            # Create table
            await cursor.execute('''CREATE TABLE stocks
                                    (date text, trans text, symbol text, qty real, price real)''')

            # Insert a row of data
            await cursor.execute("INSERT INTO stocks VALUES ('2006-01-05','BUY','RHAT',100,35.14)")

            # Save (commit) the changes
            await conn.commit()

asyncio.run(main())
```

### Differences from `sqlite3`

This module differs from `sqlite3` in a few ways:

1. Connections are created with `journal_mode` set to `wal`.
2. Connections have foreign keys enabled by default.
3. [Implicit transactions are turned off][implicit-transactions]
4. The [`row_factory`][row_factory] is set to [`sqlite3.Row`][Row].

[implicit-transactions]: https://docs.python.org/3/library/sqlite3.html#controlling-transactions
[row_factory]: https://docs.python.org/3/library/sqlite3.html#sqlite3.Connection.row_factory
[Row]: https://docs.python.org/3/library/sqlite3.html#sqlite3.Row

### License

MIT
sqlserverlinux 0.0.1
program to make sqlserver in linux easier
License: MIT
Keywords: sqlserver

Copyright 2021 ADGSTUDIOS

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Change Log
==========
0.0.1 (2021/05/31)
-------------------
First Release
bluebird-stoick01 0.3.0
Deep learning library
License: MIT
Requires Python: >=3.6

# BlueBird <img src="./ico/bluebird.png" alt="logo" width="25" height="25px"/>

[![Documentation Status](https://readthedocs.org/projects/bluebird/badge/?version=latest)](https://bluebird.readthedocs.io/en/latest/?badge=latest)
[![Build Status](https://travis-ci.com/Stoick01/bluebird.svg?branch=master)](https://travis-ci.com/Stoick01/bluebird)
[![PyPI version](https://badge.fury.io/py/bluebird-stoick01.svg)](https://badge.fury.io/py/bluebird-stoick01)

Simple deep learning library. 

## Usage

Install:

```
pip install bluebird-stoick01
```

Here is a simple implemetation of a model in bluebird.

```
from bluebird.nn import NeuralNet
from bluebird.activations import Relu, Softmax
from bluebird.layers import Input, Dense
from bluebird.loss import CategoricalCrossEntropy
from bluebird.optimizers import SGD

# create the neural net
net = NeuralNet([
    Input(200), # input layer
    Dense(100, activation=Relu()),  # hidden layers with relu activation
    Dense(50, activation=Relu()),
    Dense(10, activation=Softmax()) # last hiddent layer with softmax activation
])

# define optimizer and loss function
net.build(optimizer=SGD(lr=0.003), loss=CategoricalCrossEntropy())

# train your model
net.fit(X_train, y_train, num_epochs=20)
```

For more info checkout the [docs](https://bluebird.readthedocs.io/en/latest/index.html)

## Roadmap

There are a lot of updates planed, you will find comments throughout the library that define what features I'm planing to add in the future.

## Contribution

Feel free to help, I know that there are many things that need to be optimized and implemented in the future, any help is welcome.