24 lines
1.4 KiB
Plaintext
24 lines
1.4 KiB
Plaintext
TODO: Adjust the following lines from README.md
|
|
|
|
# PixieDust
|
|
|
|
[](https://badge.fury.io/py/pixiedust)
|
|
[](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:
|
|
...
|