In this presentation, I will summarize my experience dealing with malicious actors who attempted to infiltrate my research study. I will discuss what happened, outline the stages we went through, the fixes we implemented, and our decision-making process. I will also conclude with a broader discussion of the state of behavioral science in addressing such cyber threats. More generally, I will discuss how technology companies and tech-savvy individuals can help the social sciences/Academia protect themselves from deceptive actors and raise awareness among academics about potential pitfalls.

You can build Python from source, use a Docker image, install it with a package manager, or use the version that comes with your operating system.  They're all the same Python, right?

Yes and no.  This talk will 1) define Python, and 2) look at what changes, depending on how you install it.   

Have you ever wanted to do some financial research, but struggled. Well maybe not, but if you're here with us tonight, maybe check out some packages that Wayy Research has been creating. Even if you're not a seasoned fin-head, you might be wondering how to get started in quantitative finance. And if you were, boy, are you in luck!

We will go over 3 packages:

Wayy-Research/wrdata - a financial data gathering package

Wayy-Research/fracTime - a time series forecasting library

Wayy-Research/wrtrade - a quantitative trading libarary

All of these will allow you to get started with quantitative trading right in the comfort of your own home. This will be a lightning round covering the basics and we will get you from zero - to - hero faster than you can say Benoit Mandelbrot. So bring your thinking caps and lets get ready to do some digging!

"There is nothing so permanent as a temporary solution". Come learn how a combination of misunderstanding, bad assumptions, tech debt and general chaos created the world's worst data pipeline.

It's slow. It's inaccurate and sadly it lived in production for 3 years. Learn from my mistakes!

The 2025 OWASP Top Ten release candidate came out on November 6.  Let's look at what's changed since 2021.

We spend much of our time collecting and analyzing data. That data is only useful if it can be displayed in a meaningful, understandable way.

Yale professor Edward Tufte presented many ideas on how to effectively present data to an audience or end user.

In this session, I will explain some of Tufte's most important guidelines about data visualization and how you can apply those guidelines to your own data. You will learn what to include, what to remove, and what to avoid in your charts, graphs, maps and other images that represent data.

Hello,

I love film cameras. Especially multiple lens film cameras that take photos all at once or in a sequence. The true pain is getting my scans back from the film lab I use and a set of photos being put into one photo because of how the cameras take the photos in the first place.

In this talk I will show how to perfectly crop a set of images into multiple images even if the vary in size.

I read the release notes to you don't have to.  A quick tour of changes that have gone into Python this year.  Some significant, most of which are invisible until you need them.

Python runs on chips. Python can be used to help make chips. 
A little on making chips, open silicon, and the state of the industry. 

We will examine how pandas can be used to read data files with different formats. There will be some surprising results!