semvec/pypi-packages huggingface dataset:
presalytics-ooxml-automation 0.2.54
OOXML Automation
Keywords: OpenAPI,OpenAPI-Generator,OOXML Automation

# Presalytics API -- Ooxml Automation
This Python package is automatically generated by the Presalytics.io CI/CD process.  This respository is here for reference.

Please refer to the [Presalytics Documentation](https://presalytics.io/docs) for further information.  The endpoints available through this client sub-package are avialable for access via its [parent package](https://github.com/presalytics/ooxml-automation-python-client) that can be installed via pip:

~~~~bash
pip install presalytics
~~~~
rnavelocity-genericdiff 0.1.0
Package for RNA velocity, cell ordering and automatic differentiation
Requires Python: >=3.6

# cs207-FinalProject (Group #35)

## Group Members
Top Coder Kitty ML
1. Tamilyn	Chen (Top Coder)
2. Kar-Tong Tan (Kitty)
3. Mark Lock (ML)

## Packages
1. genericdiff - forward mode automatic differentiation
2. rnavelocity - tool to determine rna velocity

For documentation and vignettes (how to use) please consult the docs folder

## Badges
- Travis
[![Build Status](https://travis-ci.com/Topcoder-Kitty-ML/cs207-FinalProject.svg?branch=master)](https://travis-ci.com/Topcoder-Kitty-ML/cs207-FinalProject)
- Codecov
[![codecov](https://codecov.io/gh/Topcoder-Kitty-ML/cs207-FinalProject/branch/master/graph/badge.svg)](https://codecov.io/gh/Topcoder-Kitty-ML/cs207-FinalProject)
fedwire 0.1.2
A python package that implements an interface toread/write files for the Fedwire Funds Service

# Change Log

## [v0.1.2](https://github.com/narmitech/fedwire-python/tree/v0.1.2)
[Full Changelog](https://github.com/narmitech/fedwire-python/compare/v0.1.1...v0.1.2)

* Fix amount and make tests more explicit (https://github.com/narmitech/fedwire/pull/6)

## [v0.1.1](https://github.com/narmitech/fedwire-python/tree/v0.1.1)
[Full Changelog](https://github.com/narmitech/fedwire-python/compare/v0.1.0...v0.1.1)

* Fix originator tag (https://github.com/narmitech/fedwire/pull/2)

## [v0.1.0](https://github.com/narmitech/fedwire-python/tree/v0.1.0)
[Full Changelog](https://github.com/narmitech/fedwire-python/compare/...v0.1.0)

* Add interfaces

Home-page: https://github.com/narmitech/fedwire-python
Author: Narmi
Author-email: support@naritech.com
License: Apache 2.0
Description: UNKNOWN
Platform: UNKNOWN
Provides-Extra: dev
sci 0.1.7
a collection of convenience and wrapper functions supporting tasks frequently needed by scientists
Keywords: hpc,scientific computing

sci Package
===========

A Python 3 package or simply a collection of convenience and wrapper functions supporting tasks
frequently needed by scientists.

install
-------

| ``pip3 install sci`` or
| ``pip3 install --user --upgrade sci``

use the ``--user`` flag on shared computers where you do not have root access. It will install the
package in a place like ``~/.local/lib/python3.x/site-packages/sci`` . You can delete that folder
later to remove the package.

design goals
------------

1. Simplicity: wrap frequently used workflows into simple functions that make life easier for
   scientists. Most import statements should move into functions (except for frequently used ones
   like os, sys) to avoid confusion during autocomplete with VS Code and other IDEs.
2. Verbose but easily consumable docstrings: Docstrings are accessible via code autocomplete in IDEs
   such as VS Code or Atom and through automated documentation environments such as sphinx. Each
   docsting should start with an example use case for the function.
3. functional programming paradigm: While using classes is permitted we encourage writing fewer
   classes and more functions (perhaps with decorators)
4. Cross-platform: The code should work on Linux (RHEL and Debian based), Windows and Mac OS X.
5. Python 3 only compatibility, Python 2.x is legacy and we do not want to invest any extra time in
   it.

How to contribute your own code
-------------------------------

1. ``git clone git@github.com:FredHutch/sci-pkg.git``
2. create a new branch (eg : sci-yourname)
3. paste your function into module sci/new.py.
4. Make sure you add an example call in the first line of the doc string.
5. Add your test case to sci-pkg/sci/tests