fyda: An interface “For Your DAta”

fyda is a data interface designed for use with Python data science projects.

Here’s how it works:

• You have a project in its own virtual environment
• You install fyda into this virtual environment
• You configure fyda to open, read, write, model and be merry with your data
• Your code becomes 1000x smaller and more readable.

Warning

This project is still under construction. See the Under Construction section for what is to come.

• Quickstart
  • Loading Data
  • Using fyda to get file paths
  • How fyda handles duplicate names
  • Static Configuration with .fydarc
  • Peeking under the hood: the DataBank
  • Connecting to and using fyda with Amazon S3
• fyda API Guide
  • Loading Data
  • DataBank
  • ProjectConfig

Table of Contents

• fyda: An interface “For Your DAta”
  • Installation
  • Under Construction
    • Connecting to SQL
    • Data shaping
    • Modeling
• Indices and tables

Installation

It is recommended that you use the Anaconda distribution of Python 3 with fyda. It is also recommended that you have a separate virtual environment (if you haven’t made one already).:

$ pip install fyda

Under Construction

There are many, many features we would like to implement into fyda. Here are some of the top priorities:

Connecting to SQL

This would be a huge time saver and is the most needed portion of fyda.

Data shaping

fyda should have some form of handling data pipelines and transformation scripts.

Modeling

A stretch goal would be to give fyda some of these powers (in cooperation with sklearn):

• model selection
• model training
• model tuning and support

Indices and tables

• Index
• Module Index
• Search Page