Topics

• Dangers of the Python Standard Library
  By: Andrew Scott
  Experience Level: Novice
  Length: 15 Minutes
  Description:

  As a developer, you are the first line when it comes to security for any products you may be building. There is often a misconception that all software security vulnerabilities are due to misconfigurations, using unmaintained open source libraries, using "insecure" languages, or by making dumb mistakes like hard-coding passwords. In actuality, it can be very easy to make potentially extreme security mistakes even only using built-in functions and libraries bundled with the latest version of Python. This talk will cover a number of these potential security mistakes that can be all too easy to make.

• Getting up to speed with Dask
  By: Aaron Richter
  Experience Level: Intermediate
  Length: 45 Minutes
  Description:

  Dask is a parallel computing library for Python people. This talk will be a gentle introduction to Dask, showing how you can improve the speed of data science code on your laptop with a simple "pip install". Then we will use the same code to process big data on a cluster of machines. We will be going through an end-to-end data science pipeline, from ETL and exploratory analysis to machine learning model training and scoring.

  We will cover:
  - Example using publicly available data and single-node Python
  - Pandas for data cleaning/transformation
  - Scikit-learn for machine learning
  - How to parallelize this workflow on a laptop and then a cluster using Dask
  - Distributed model training
  - Distributed inference/scoring