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Polarity Reference Channels: Python Standards

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,”

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Polarity

Polarity fuses knowledge and data together into one unified view, enabling immediate information delivery, automating knowledge transfer across teams, and allowing leaders to understand which of their data sources deliver value. Polarity revolutionizes how teams work, what they spend their time doing (completing tasks, not searching for context), and how informed their day to day decisions are.