Data Science tools: Are you “all in” or do you “mix and match”? – Strata


See on Scoop.itData Nerd’s Corner

An integrated data stack boosts productivity As I noted in my previous post, Python programmers willing to go “all in”, have Python tools to cover most of data science….

Carla Gentry CSPO‘s insight:

On the other end of the spectrum are data scientists who mix and match tools, and use packages and frameworks from several languages. Depending on the task, data scientists can avail of tools that are scalable, performant, require less2 code, and contain a lot of features.

See on strata.oreilly.com

Advertisements
Leave a comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: