Topics

• Limit the Guesswork in Fantasy Baseball by Using Python for Data Analysis
  By: Nicholas Marey
  Experience Level: Intermediate
  Length: 15 Minutes
  Description: Daily fantasy sports has become a booming industry. One leader in the space is Fanduel who after raising $275 million in their series E funding, brought their valuation to over $1 billion. As the popularity of daily fantasy sports has taken off, critics have argued that success is the result of luck; yet the consistent success of a select group of players would suggest that success can be driven by skill. This talk, will go over how one could use Python to level the playing field.
• Web Scraping for Fun and Profit (Profit not Included)
  By: Matt Inwood
  Experience Level: Intermediate
  Length: 20 Minutes
  Description:

  Not all data is easily accessible. Taking info from a website that requires authentication, interaction, or even just to load a fancy script. This talk will discuss using Selenium to level up your web scraping skills, with examples and suggested practices.

• Python @ Strata
  By: Steven Lefar
  Experience Level: Novice
  Length: 30 Minutes
  Description: An overview of Strata Data Science and python use cases inside the company.
• Lowering the Stakes of Failure with Pre-mortems and Post-mortems
  By: Elizabeth Sander
  Experience Level: Novice
  Length: 25 Minutes
  Description:

  Failure can be scary. There are real costs to a company and its users when software crashes, models are inaccurate, or when systems go down. The emotional stakes feel high-- no one wants to be responsible for a failure. We can lower the stakes by creating spaces to learn from failures, and minimize their impact. This talk introduces two ways to address failure: blameless post-mortems, to learn from an incident; and pre-mortems, to identify modes of failure upfront.