semvec/pypi-packages huggingface dataset:
cherami-client 1.0.3
Cherami Python Client Library
License: MIT
Keywords: cherami python client

.. image:: https://travis-ci.org/uber/cherami-client-python.svg?branch=master
    :target: https://travis-ci.org/uber/cherami-client-python

.. image:: https://coveralls.io/repos/github/uber/cherami-client-python/badge.svg?branch=master
    :target: https://coveralls.io/github/uber/cherami-client-python?branch=master

.. image:: https://badge.fury.io/py/cherami-client.svg
    :target: https://badge.fury.io/py/cherami-client

===============================
Cherami Client For Python
===============================

Python client library for publishing/consuming messages to/from `Cherami <https://github.com/uber/cherami-server>`_.

Installation
------------

``pip install cherami-client``

Usage
-----

Create and edit the ``.yaml`` file under ``./config``

See Example:
::
        cat ./config/test.yaml

Set the clay environment variable:
::
        export CLAY_CONFIG=./config/test.yaml

Run the example client:
::
        python ./demo/example_publisher.py
        python ./demo/example_consumer.py

Contributing
------------
We'd love your help in making Cherami great. If you find a bug or need a new feature, open an issue and we will respond as fast as we can.
If you want to implement new feature(s) and/or fix bug(s) yourself, open a pull request with the appropriate unit tests and we will merge it after review.

Note: All contributors also need to fill out the `Uber Contributor License Agreement <http://t.uber.com/cla>`_ before we can merge in any of your changes.

Documentation
-------------
Interested in learning more about Cherami? Read the blog post: `eng.uber.com/cherami <https://eng.uber.com/cherami/>`_

License
-------
MIT License, please see `LICENSE <https://github.com/uber/cherami-client-python/blob/master/LICENSE>`_ for details.
ecopy 0.1.2.2
EcoPy: Ecological Data Analysis in Python
License: MIT
Keywords: ordination,ecology,multivariate data analysis

EcoPy: Python for Ecological Data Analyses
******************************************

.. image:: https://zenodo.org/badge/17555/Auerilas/ecopy.svg
   :target: https://zenodo.org/badge/latestdoi/17555/Auerilas/ecopy
   
**EcoPy** provides tools for ecological data analyses. In general, it focuses on multivariate data analysis, which can be useful in any field, but with particular attention to those methods widely used in ecology. `The homepage, with full documentation and examples, can be found here <http://ecopy.readthedocs.io>`_

Install via 'pip install ecopy'

What's New
=======
0.1.2.2
--------
- More Python 3.x compatibility
- Fix typos in code and examples on readthedocs. Thorough code check


License
=====
**EcoPy** is distributed under the MIT license

Version
=====
0.1.2.2

Examples
======
Transforming a site x species matrix, dividing by site totals::

	import ecopy as ep
	varespec = ep.load_data('varespec')
	newMat = ep.transform(varespec, method='total', axis=1)

Calculating Bray-Curtis dissimilarities on the new matrix::

	brayMat = ep.distance(newMat, method='bray')

PCA on US Arrests data::
	
	USArrests = ep.load_data('USArrests')
	prcomp = ep.pca(USArrests, scale = True)
	prcomp.biplot(type = 'distance')
	prcomp.biplot(type = 'correlation')

Full online documentation is a work in progress

TO-DO
====
- MINIMUM SPANNING TREE
- PROCRUSTES ROTATION
- LINEAR/SURFACE ENVIRONMENTAL FITTING
- MAXENT WRAPPER
- MANY MANY OTHER THINGS
chubby 0.2.3
Misc. GitHub actions in your terminal
License: MIT

chubby
======

Installation
------------

.. code:: bash

   pip install chubby

Features
--------

Issues
~~~~~~

.. code:: python

    # creating new issues
    chubby issue -t "This is the issue title" -d "This is the issue description" -r "meetmangukiya/chubby"
    # Edit issues
    chubby issue -t "This is the new issue title" -r "meetmangukiya/chubby" -n 23
    # get issue data
    chubby issue -n 23 -r "meetmangukiya/chubby"

For complete help, please use ``chubby issue -h``

Config
~~~~~~

Once you have installed chubby its time to configure it. Chubby uses GitHub
personal access tokens to carry out all this actions on behalf of the user.
Hence, you need to add it,

.. code:: bash

    chubby config -t "<this is your github acess token>"
    chubby config -h # to get help
NaiveDE 1.2.0
The most trivial DE test based on likelihood ratio tests
License: MIT

This package implements the simplest form of a Differential Expression test.
It just fits two linear models, assuming Normally distributed residuals, to
each gene. These are assumed to be nested, and a likelihood ratio test is
then performed to compare the models.

The test might have low power and give noisy results, but it shouldn't be
biased. With many (i.e. hundreds of) samples it should work all right.

This can serve as a baseline comparison with more sophisticated tests.

## Faux fold changes

The package also has methods for creating input fold-change controlled
fake conditions in data using ERCC spike-ins. This performs systematic
renaming of spike-ins in randomized conditions. To avoid creating unrealistic
levels of fold change, input concentration is used to limit possible renaming.

This assumes expression measures used are comparable between different
sequences. Thus these should optimally account for length and other sequence
features before creating faux fold changes.