In this talk we’ll review the state of the tools for data science in Ruby!
Python is the “crown jewel” of the data science languages today, but many of us work mostly with Ruby for the business applications, and it is important to use the best tool for each job.
So we’ll analyse gems and groups of gems available in Ruby for Data Science
* their performance
* features available
* is ruby is being used for data science at all?
* Should we use it? and when?
* what are the alternatives?
And after this talk you’ll have enough information to choose the toolset to use for your next data science project, or event to “add some data science” to your existing project.
Rodrigo Urubatan (@urubatan) works as a software developer since 1997, have worked with many languages such as Delphi, C++, C, Visual Basic, C#, Java, Ruby, Python, …
Currently with the goal to help ruby developers to use the best tools for each job, so they can solve hard problems, with less bugs and have more free time.