./wip/py-pixiedust, Productivity library for Jupyter Notebook

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Branch: CURRENT, Version: 1.1.18, Package name: py38-pixiedust-1.1.18, Maintainer: kamelderouiche

TODO: Adjust the following lines from README.md

# PixieDust

[![PyPI version](https://badge.fury.io/py/pixiedust.svg)](https://badge.fury.io/py/pixiedust)
[![Build Status](https://travis-ci.org/pixiedust/pixiedust.svg?branch=master)](https://travis-ci.org/pixiedust/pixiedust)

PixieDust is a productivity tool for Python or Scala notebooks, which lets a developer encapsulate business logic into something easy for your customers to consume.

## New Book now available: Thoughtful Data Science
This [book](https://www.packtpub.com/big-data-and-business-intelligence/thoughtful-data-science) published by [Packt Publishing](https://www.packtpub.com) is the user and developer reference for using PixieDust

## Pixiedust developer community

Wait! There is a developer community?
Yes there is! If you already are a member, [login](https://pixiedust-dev.slack.com). If you would like to contribute please [join us](http://bit.ly/join_pixiedust_community).

## Why you need it

Notebooks are a powerful tool for fast and flexible data analysis. But the learning curve is steep.

Python data science notebooks were first popularized in academia, and there are some formalities to work through before you can get to your analysis. For example, in a Python interactive notebook, a mundane task like creating a simple chart or saving data into a persistence repository requires mastery of complex code like this [matplotlib](http://matplotlib.org/) snippet:

Master sites:

SHA1: db9f7bc4b8ae96f772de0ceafa6d0d68f60ae431
RMD160: ba6c53afb36b914589912259b5dc6e3b0db640c5
Filesize: 193.083 KB

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