James Davis

NFTs have moved well beyond digital collectibles and are increasingly being explored for real-world applications like credentialing, asset tracking, and data provenance. But how do they actually work, and what does it take to create one?

In the digital world, ensuring data integrity and security is paramount, and one of the key tools used to achieve this is hashing. A hash function takes an input, such as a message or file, and returns a fixed-size string of bytes, typically a digest that appears random.

AI is everywhere and it is helping us be more productive. This session will focus on engineering AI prompts to help us get what we actually want and make it look more like our original work and less like an AI generated response.

This session will discuss web scraping as a means of data collection and provide an example. Using the Python Scrapy package, we will explore how to extract data from a website requiring login credentials.