Treeherder is growing. More people are using it every day. And the amount of data it displays is also growing. So we need to expand its ability to scale to more and more data. Treeherder is primarily written in AngularJS on the front-end. However, we display thousands of small objects on the main landing page. Using Angular’s ng-repeat for this proved unacceptably slow. It was converted to using JQuery and raw JavaScript DOM manipulation which has been acceptably fast for a while, but is harder to maintain. ReactJS has been used in other parts of the product to significantly improve performance and is easier to read and edit. The participant will convert the existing job matrix rendering to use ReactJS.
====Context Graph Data Analysis====
Mentor: [https://mozillians.org/en-US/u/telliott/ Toby Elliott]
'''Note: applications for this position are now closed'''
The data from our first Context Graph experiment - the browsing habits of 10,000 users who have volunteered to share this data with us - will be ready for analysis in December. Time to roll up our sleeves!
The project will involve putting together a proposal for a large scale data analytic or machine learning question, refining it, turning it into code, then running the code against our corpus of data. Then, doing it again. It's a chance to do research on how users use the web with real, live data.
The ideal candidate will have experience in:
* Large-scale data analysis. Machine learning is a plus, but many of the early experiments are likely to be done heuristically.
* Git and github workflow
* A dynamic language (python is best)
* SQL. Other data systems are welcome, but the data is currently in Postgres.
The ideal candidate will be comfortable in a rapidly-shifting environment, as we'll be iterating on experiments and ideas constantly.
==Outreachy Program Cohort: Round 12 (May-August 2016)==
