When thinking about Florida News many have heard of the ubiquitous Florida man. This talk will look at news from around the country and attempt to quantify if Florida man truly exists. I used Python to build functions that scrape satirical, national, and local news sites and built a basic model to compare news across various states. Python libraries highlighted in this talk include: requests, Beautiful Soup, and sklearn.

Keep your Python applications alive and kicking with systemd.

With over four thousand members, the Chicago Python Users Group is one of the largest Python communities in the world. Slack has become the primary method of communication amongst members in-between events. We developed an open-source Slack bot, codename: Busy Beaver, to increase member engagement. This talk will introduce Busy Beaver, provide a high-level walkthrough of its architecture and code, and discuss the future roadmap of the project.

Mastermind is a logic-based guessing game. Many years ago, Donald Knuth described a way to win the game in 5 moves or less. We’ll implement the game and the algorithm from the article. Come learn how to beat Mastermind and turn a paper by a famous scientist into code!

Ever been curious about the Rust programming language? Although Rust is a low level language, some similarities exist with Python. This talk describes it from the point of view of a Python user. Discover the alternatives to pip, functions and passing values, lists, classes, import statements, exception handling, and more.

Have some extra Raspberry Pi's laying around? Ever want to learn what this Kubernetes thing is about? Do you love running Python inside of Docker? Then this talk is for you! This talk will dive into some core Kubernetes concepts, using a Raspberry Pi cluster as a learning tool.

Grubhub has chosen to adopt the Spark Big Data computing framework to underpin it’s internal Grubhub Data Platform Spark was adopted very early by Silicon Valley FANG companies.. What features make Spark a great computing platform for both Analytical reporting and Machine Learning? Tips on how to install PySpark on a Mac OSX system so one can play wit PySpark without paying for a cloud cluster

gRPC and protocol buffers offer a high performance, open source way to define services and messages for the future. Think of it like REST, but for the http2 protocol.

Once you've started to learn python, you're going to want to use it to automate tasks. Their are lots of ways to do this, each with it's own set of pros and cons. This talk will go over a few options for scheduling the execution of python scripts and the tradeoffs that come with each. Tools that will be covered include crontab, schedule, celery, airflow, and cloud options AWS Lambda and GCP functions.

Machine learning and record linkage: Finding duplicates or matching data when you don't have primary keys is one of the biggest challenges in preparing data for data science. At DataMade we have built a python, open source machine learning library to help developers, and a product Dedupe.io to help everyone else. We describe the problem and how we use machine learning to scale to tens of millions of records.