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# Google Summer of Code Ideas

Here is a list of ideas for projects we thought up for what would be interesting and useful to do in a course of Google Summer of Code program for Orange. Of course you can propose also some other (your) idea(s). But of course connected with Orange, data mining, machine learning, artificial intelligence in general, bioinformatics and other fields in which we are interested in (or you can get us interested in).

## Time-series analysis

Orange currently lacks any time-series analysis tools. It would be great to develop some basic tools for dealing with them: reading, normalizing, basic pattern search, some (auto-)correlation and similar basic techniques, and so on. Research what other similar applications support and propose which features would be useful to have as a basic set of tools.

Useful skills: Python, data analysis experience, digital signal processing experience could also help

Type of work: coding with some research

Level from 1 (beginner) to 5 (professional): 4

## Widgets in separate processes

Widgets in Orange Canvas currently run in a single process. As they are independent given their inputs, they could frequently work in parallel. The objective of this task would be to modify Orange Canvas so that each widget would run in its own process.

Python programming with multiple processes. Program design.

Level from 1 (beginner) to 5 (professional): 5

## Anova

Implement Anova regression, which would support arbitrary models, similar to the R implementation.

Python programming. The candidate should be familiar with statistics and computation with matrices (numpy).

Level from 1 (beginner) to 5 (professional): 3