The Data Productivity Toolkit is a collection of linux command-line tools designed to facilitate the analysis of text-based data sets. Modeled after the general linux pipeline tools such as awk, grep, and sed, the kit provides powerful tools for selecting/combining data, performing statistics, and visualizing results. The tools are all written in python and in many instances provide a command-line API to basic python and numpy/scipy/matplotlib routines.
Follow Data Productivity Toolkit
nel_h2
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.
Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Rate This Project
Login To Rate This Project
User Reviews
-
I am the author of this project, so of course I give it five stars. :) In all seriousness though, in the seven years or so since I wrote this, the data tooling for python has improved immensely. I have written a far more capable project to replace this one. It is called Pandashells and you can find it on github. If you like this project, you'll really like pandashells
-
very good project, thanks!