semvec/pypi-packages huggingface dataset:
goldowl 0.4
Tools for financial analysis
License: MIT
Keywords: finance,investment,quant

# goldenowl: Financial analysis toolkit
---
## What is it?

**goldenowl** is a Python package that provides most commonly used utilities for analysis in the financial domain such as those related to investments and trading.

## Main Features
Here are just a few of the things that pandas does well:

  - [**Holding Analysis**] - Calculate XIRR of multi touch point investments, portfolio returns etc
  
## Where to get it
The source code is currently hosted on GitHub at:
https://github.com/nishanth-/goldenowl

Installers for the latest released version are available at the [Python
Package Index (PyPI)](https://pypi.org/project/goldenowl)

```sh
pip install goldenowl
```

## Dependencies
- [xirr - For calculation of xirr](https://pypi.org/project/xirr/)
- [pandas - For data manipulation](https://pypi.org/project/pandas/)


## License
[MIT](LICENSE)
streamlit-pages 0.1.0
Addons like multipages for streamlit webapp
License: MIT
Requires Python: >=3.6,<4.0

# streamlit_pages

[![Python](https://img.shields.io/badge/python-3.6 3.7 3.8 3.9-blue)]()
[![codecov](https://codecov.io/gh/bvenkatesh-ai/streamlit_pages/branch/main/graph/badge.svg)](https://codecov.io/gh/bvenkatesh-ai/streamlit_pages)
[![Documentation Status](https://readthedocs.org/projects/streamlit_pages/badge/?version=latest)](https://streamlit_pages.readthedocs.io/en/latest/?badge=latest)


## Installation

```bash
$ pip install -i https://test.pypi.org/simple/ streamlit_pages
```

## Features

- Adding multiple pages to streamlit
- Sharing specific pages

## Dependencies

- streamlit

## Usage

- TODO

## Documentation

The official documentation is hosted on Read the Docs: https://streamlit_pages.readthedocs.io/en/latest/

## Contributors

We welcome and recognize all contributions. You can see a list of current contributors in the [contributors tab](https://github.com/bvenkatesh-ai/streamlit_pages/graphs/contributors).

### Credits

This package was created with Cookiecutter and the UBC-MDS/cookiecutter-ubc-mds project template, modified from the [pyOpenSci/cookiecutter-pyopensci](https://github.com/pyOpenSci/cookiecutter-pyopensci) project template and the [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage).
sparse-cli 0.0.2
Sparse command line utility.
License: MIT
Requires Python: >=3.5

|Status| |License| |CircleCI|

Sparse CLI
==========

The Sparse CLI is the command line utility for the
`Sparse <https://sparsedata.net>`__ geo-distributed database hosting
service. It’s developed in Python and the code is published under the
`MIT
License <https://github.com/sparse-data/sparse-cli/blob/master/LICENSE>`__
at
`github.com/sparse-data/sparse-cli <https://github.com/sparse-data/sparse-cli>`__.

Develop
-------

You can install the CLI for local development by installing the
dependencies into a Python3 environment and developing the egg:

.. code:: sh

   pip install -r requirements.txt
   python setup.py develop

This will install a ``sparse`` binary in your local Python environment’s
bin folder. You can check that this is on your path with e.g.:

.. code:: sh

   which sparse

Build
-----

If you want to build standalone binaries, you first need to install the
extra development requirements:

.. code:: sh

   pip install -r dev-requirements.txt

Then you can build a `Pex <https://pex.readthedocs.io>`__ executable
using:

.. code:: sh

   python setup.py bdist_pex --bdist-all

This will create a ``./dist/sparse`` binary which you can copy and run
anywhere on your system.

Alternatively, you can build a standalone binary with an embedded Python
interpretor using `PyOxidizer <https://pyoxidizer.readthedocs.io>`__:

.. code:: sh

   pyoxidizer run

This will create a binary at ``./build/:target/debug/install/sparse``
that you can run on any machine with the same architecture and OS as
your build machine.

Usage
-----

Run the ``sparse`` command without arguments or with the ``--help`` flag
for usage information:

.. code:: sh

   sparse --help

You can drill down into usage information for the resources / command
groups and for individual commands, e.g.:

.. code:: sh

   sparse auth --help
   sparse auth login --help

Further `documentation is available on the Sparse
website <https://sparsedata.net/docs>`__.

Test
----

Running the tests requires ``nose`` and ``coverage``, included in the
``dev-requirements.txt``.

Then, run e.g.:

.. code:: sh

   nosetests --with-coverage --cover-package sparse

.. |Status| image:: https://img.shields.io/badge/status-alpha-red.svg
.. |License| image:: https://img.shields.io/badge/license-MIT-green.svg
   :target: LICENSE.md
.. |CircleCI| image:: https://circleci.com/gh/sparse-data/sparse-cli/tree/main.svg?style=shield&circle-token=67d43361b7c2aa039a0eef39d3617a9f481e54c5
   :target: https://circleci.com/gh/sparse-data/sparse-cli/tree/main