Fast and easy analysis, visualization of data, and scientific computing in
general has been an uphill task for Rubyists due to the lack of suitable
libraries. The good news is, the Ruby Science Foundation has introduced
several tools that make Ruby a viable and highly approachable programming
language for Scientific Computing, Data Analysis and Visualization. Join
the webinar to explore how you can leverage Ruby’s programmer friendly
approach to create fast and intuitive scientific libraries.
*Scientific Computation and Data Visualization with Ruby*
- Backend Ruby developers
- Data scientists
- Ruby enthusiasts eager to try a new use case for their favorite
language.
- Developers who have previously encountered data, statistics,
mathematical or visualization problems in their Ruby programs and had to
resort to less-than-ideal solutions because of the lack of good quality
libraries in Ruby
*Why Should You Attend This?*
- Understand the libraries and APIs that are available in Ruby for data
analysis, munging & cleaning, visualization and statistical analysis
- Knowledge of tools for performing interactive computing in Ruby within
the browser for better communication and presentation of data and ideas
- Know how you can keep your tool chain in the one language (Ruby) and
framework you’re most comfortable in, without being forced to delegate the
intensive numerical computation part to services written in Python or R
You hit the nail! I registered---will there be a downloadable recording afterwards, are you going to share the presentation on YouTube? Can I send some questions in advance?
Fast and easy analysis, visualization of data, and scientific computing in
general has been an uphill task for Rubyists due to the lack of suitable
libraries. The good news is, the Ruby Science Foundation has introduced
several tools that make Ruby a viable and highly approachable programming
language for Scientific Computing, Data Analysis and Visualization.
--
Our problems are manmade; therefore, they can be solved by man.---JFK 1963.
You hit the nail! I registered---will there be a downloadable recording
afterwards, are you going to share the presentation on YouTube? Can I send
some questions in advance?
Tom
On Mon, 27 Jun 2016 15:44:11 +0530 > Nilanjana Dey <nilanjana@niswey.com> wrote:
> Hello Rubyists,
>
> Fast and easy analysis, visualization of data, and scientific computing
in
> general has been an uphill task for Rubyists due to the lack of suitable
> libraries. The good news is, the Ruby Science Foundation has introduced
> several tools that make Ruby a viable and highly approachable programming
> language for Scientific Computing, Data Analysis and Visualization.
--
Our problems are manmade; therefore, they can be solved by man.---JFK 1963.
You hit the nail! I registered---will there be a downloadable recording
afterwards, are you going to share the presentation on YouTube? Can I send
some questions in advance?
Tom
On Mon, 27 Jun 2016 15:44:11 +0530 > Nilanjana Dey <nilanjana@niswey.com> wrote:
> Hello Rubyists,
>
> Fast and easy analysis, visualization of data, and scientific computing
in
> general has been an uphill task for Rubyists due to the lack of suitable
> libraries. The good news is, the Ruby Science Foundation has introduced
> several tools that make Ruby a viable and highly approachable programming
> language for Scientific Computing, Data Analysis and Visualization.
--
Our problems are manmade; therefore, they can be solved by man.---JFK 1963.
