Today’s post continues an ongoing series on Polarity User Tips. Data tells a story, Polarity helps you see it with Augmented Reality overlaying contextual information as you work, giving you the right data at the right time to make informed decisions and take action with speed (no glasses or goggles required). This guide explains how you can see the story in your data with Polarity using the Python Standards Reference Channel.
Intro to Polarity Reference Channels
Polarity Channels are a way to organize Entities and Annotations into logical groups, such as all of your assets or your LinkedIn contacts.
Reference channels are a Polarity Channel that is based on another source of information that is used just for reference purposes by Polarity Users. Reference channels can be anything from a list of internal or external threats to a list of assets.
Where to find Reference Channels
On the Polarity Github page, download the Python Standards reference channel or browse our library of reference channels for better data awareness and recall.
What are Python Standards?
Python is a very common programming language used in Cyber Security, Data Science and other careers. As with every language Python has a built in set of standard references that are used when coding in Python. Developers often will reference these standards when they are coding.
Python Standards Reference Channels in Polarity
The Python Standards Reference channel allows you to easily reference any of Python's standard libraries. Whenever there is a referenceable library on your screen, the Python Standards Reference channel will provide you an overview of that library and what it pertains to, such as “data type”.
For example, when the user sees a library name on-screen, like “Calendar” in the image below, they will be able to see what that library relates to and how it fits into Python.
In this image, notice the highlighted calendar library on the left. You can see that Polarity's computer vision recognizes the text on screen, and in real-time while the analyst is working, it has provided contextual information from the Python Standards Reference Channel in the overlay window on the right.