The Internet age generates vast amounts of data. Most of this data is unstructured and needs to post processed in some way. Python has become the standard tool for transforming this data into more useable forms.numpy and numba are popular Python libraries for processing large quantities of data. When running complex transformations on large datasets, many developers fall into common pitfalls that kill the performance of these libraries.This talk explains how numpy/numba work under the hood and how they use vectorisation to process large amounts of data extremely quickly. We use these tools to reduce the processing time of a large 600GB dataset from one month to less than an hour.

Alejandro Saucedo (Founder @ Exponential Technologies) and Donald Whyte (Software Engineer @ Engineers Gate) @ Moscow Python Conf 2017 There is a lot of hype...

A blue team is a group of individuals who perform an analysis of information systems to ensure security, identify security flaws, verify the effectiveness of each security measure, and to make certain all security measures will continue to be effective after implementation.

A red team is a group that helps organizations to improve themselves by providing opposition to the point of view of the organization that they are helping. They are often effective in helping organizations overcome cultural bias and broaden their problem solving capabilities.