Challenge
By:

Challenges are fun, hands-on coding exercises covering a variety of topics -- such as pure problem solving, web development, and data science (see past challenges: https://github.com/chicagopython/CodingWorkshops). Participants will be assigned to teams of four, which will then have an hour to solve the problem at hand together. Teams are designed to have diverse experience levels, giving team members equal opportunity to learn and share ideas.

Projects
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This is an open space to collaborate with others, ask questions, or help someone else if there's a question you can answer! No problem is too big or too small. If you're working on a personal project and looking for some Python help, or you want to join forces with someone who's working on an interesting idea, this option is for you.

Advent of Code
(5 Minutes)
By: Sree P
Experience Level: Novice

Breif overview of “Advent Of Code” and walkthrough of one of the challenges

What's the deal with Florida's news?
(5 Minutes)
By: Jordan Nelson
Experience Level: Novice

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.

Staying alive with systemd
(30 Minutes)
By: Siva Manivannan
Experience Level: Intermediate

Keep your Python applications alive and kicking with systemd.

Three Python Nuances I Wish I'd Known Earlier
(10 Minutes)
By: Jess Unrein
Experience Level: Novice

I'll briefly go over three Python gotchas that have given me headaches in the past that I wish I had known about earlier. We'll talk about how lists store references to objects, why default mutable arguments are unexpectedly tricky, and the difference "is" and "==" comparators.

Busy-Beaver: Increasing Community Engagement with Python
(15 Minutes)
By: Aly Sivji, Chris Luedtke
Experience Level: Novice
Slides Link

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.

From Python to Rust
(15 Minutes)
By: Kevin Nasto
Experience Level: Intermediate

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.

Beating Mastermind: Winning Games, Translating Math to Code, and Learning from Donald Knuth
(35 Minutes)
By: Adam Forsyth
Experience Level: Novice

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!

Python in a Pod in a Kube in a Pi
(30 Minutes)
By: Joe Jasinski
Experience Level: Intermediate

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.

Defining services with grpc and protocol buffers
(25 Minutes)
By: Patrick Boland
Experience Level: Intermediate

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.

Why Learn PySpark?
(30 Minutes)
By: David Liao
Experience Level: Novice

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

Tour of job scheduling in Python
(30 Minutes)
By: Raymond Buhr
Experience Level: Novice

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.