semvec/pypi-packages huggingface dataset:
ctmc2 0.1.0
Continous Time Markov Chain (with automatic error correction)
License: MIT
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/kmedian/ctmc2.svg?branch=master)](https://travis-ci.org/kmedian/ctmc2)
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/ctmc2/master?urlpath=lab)

# ctmc2
Continous Time Markov Chain (with automatic error correction)


## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)


## Installation
The `ctmc2` [git repo](http://github.com/kmedian/ctmc2) is available as [PyPi package](https://pypi.org/project/ctmc2)

```
pip install ctmc2
```


## Usage
Check the [examples](examples) folder for notebooks.


## Commands
* Check syntax: `flake8 --ignore=F401`
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`


## Debugging
* Notebooks to profile python code are in the [profile](profile) folder


## Support
Please [open an issue](https://github.com/kmedian/ctmc2/issues/new) for support.


## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/ctmc2/compare/).
vnpy-light 0.0.1
A easier way to install vnpy
License: MIT
Requires Python: >=3.5
Keywords: vnpy quant quantitative investment trading algotrading


vnpy-light provides a easier way to install vnpy.

vn.py - By Traders, For Traders.

The vn.py project is an open-source quantitative trading framework
that is developed by traders, for traders.

The project is mainly written in Python and uses C++ for low-layer
and performance sensitive infrastructure.

Using the vn.py project, institutional investors and professional
traders, such as hedge funds, prop trading firms and investment banks,
can easily develop complex trading strategies with the Event Engine
Strategy Module, and automatically route their orders to the most
desired destinations, including equity, commodity, forex and many
other financial markets.
aws-ssm-invoke 1.0.0
A wrapper around an AWS SSM send-command that can optionally wait for execution success.
License: MIT
Keywords: aws ssm generation

aws-ssm-cli-invoke
==================

|Build Status|

A wrapper around an AWS SSM send-command that can optionally wait for
execution success.

Usage
-----

Usage on the tool can be found by executing ``aws-ssm-invoke -h``.

::

   $ aws-ssm-invoke -h
   usage: aws-ssm-invoke [-h] [--comment COMMENT]
                         (--instance-ids [INSTANCE_IDS [INSTANCE_IDS ...]] | --tags [TAGS [TAGS ...]])
                         [--wait] [--show-output]
                         command

   positional arguments:
     command               The command to execute on all matching EC2 instances

   optional xarguments:
     -h, --help            show this help message and exit
     --comment COMMENT
     --instance-ids [INSTANCE_IDS [INSTANCE_IDS ...]]
                           Instance ID's to execute on
     --tags [TAGS [TAGS ...]]
                           Key=Value pairs to execute on
     --wait                When supplied will poll the SSM command until it is
                           complete.
     --show-output         When supplied will show the output from each execution

Examples
--------

Wait
~~~~

Using the ``--wait`` flag polls for command status until complete and
shows the state.

.. code:: bash

   $ aws-ssm-invoke uptime --tags Name=database --wait
   Executed command 'uptime' - 486a3994-db41-4817-b741-f374cffec294  (Pending)
      - tag:Name = ['database']
    - Pending (Pending) [0 total, 0 complete, 0 error]
    - Success (NoInstancesInTag) [0 total, 0 complete, 0 error]

Show output
~~~~~~~~~~~

Some commands you want to see the output of, to do so specify the
``--show-output`` flag.

.. code:: bash

   $ aws-ssm-invoke uptime --tags Name=database --wait --show-output
   Executed command 'uptime' - 0b8deb73-2677-47a6-9167-a0889929d542  (Pending)
      - tag:Business:Application = ['ecommerce']
    - Pending (Pending) [0 total, 0 complete, 0 error]
    - Success (Success) [1 total, 1 complete, 0 error]
   Command output
    - [Success] i-0ddf60260170be3c7 (ip-172-31-9-100.ap-southeast-2.compute.internal)
    11:01:23 up 2 days,  5:41,  0 users,  load average: 0.00, 0.01, 0.05

Acknowledgements
~~~~~~~~~~~~~~~~

-  Project Bootstrapped from
   https://github.com/obi1kenobi/python-bootstrap

.. |Build Status| image:: https://travis-ci.org/stevemac007/aws-ssm-cli-invoke.svg?branch=master
   :target: https://travis-ci.org/stevemac007/aws-ssm-cli-invoke