semvec/pypi-packages huggingface dataset:
mssqltoolsservice-Ubuntu-16 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
mssqltoolsservice-Ubuntu-14 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
mssqltoolsservice-RHEL-7 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
mssqltoolsservice-openSUSE-13-2 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
mssqltoolsservice-Fedora-23 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
mssqltoolsservice-DEBIAN-8 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
mssqltoolsservice-CentOS-7 1.0.0a20
Microsoft SQL Tools Service
License: MIT

mssqltoolsservice
=================

The platform specific mssqltoolsservice package provides external
dependencies to the mssql-scripter tool.

Installing this standalone package will not provide any functionality.
This package is not recommended to be installed directly via pip and
should only be handled via mssql-scripter’s install.

Support is not provided to this package alone.

`Microsoft SQL Tools Service GitHub repository`_
`mssql-scripter GitHub repository`_

.. _Microsoft SQL Tools Service GitHub repository: https://github.com/Microsoft/sqltoolsservice
.. _mssql-scripter GitHub repository: https://github.com/Microsoft/sql-xplat-cli
tickvault-python-api 1.2.5
TickVault Python Query API
License: MIT
Keywords: tickvault python api client

# TickVault Python Query API

Python API that provides programmatic access to micro and nanosecond-scale trading data on a TickVault platform from TickSmith. Portals with accessible data include [Thomson Reuters Tick History](https://trdata.tickvault.com) and [Nasdaq-CX](https://nasdaq-cx.ticksmith.com).

## Installation

Using pip:
```bash
pip install tickvault-python-api
```

## Example Usage

Get the bid/ask spread of TD on CHIX on May 4th, 2017 
```python
from tickvaultpythonapi.nasdaqcxclient import NasdaqCxClient

nasdaq = NasdaqCxClient(user_name=<USER_NAME>, secret_key=<API_KEY>)

result = nasdaq.query_hits(source="CHIX", tickers="td",
                           fields="ts,askprice,bidprice",
                           start_time=20170504093000, end_time=20170504160000,
                           predicates="ask_size > 10 and bid_size > 10 and line_type like Q",
                           limit=1000000)

df = nasdaq.as_dataframe(result)

df.plot()
```