whykay 👩🏻💻🐈🏳️🌈 (she/her)
Thanks to everyone who joined up on Tuesday evening, a big thanks to both our speakers, Doreen Sacker and Glenn Strong.
🌈 Thanks to our community partners:
- PSF (Meetup)
- PyLadies
- Coding Grace (StreamYard)
August event details:-
- ℹ️ Event page: https://www.meetup.com/pyladiesdublin/events/286761477/
- 🍿 Video: https://youtu.be/oU5n3ZiqR8A
- 📢 Announcements: https://docs.google.com/presentation/d/e/2PACX-1vS4nEB17YmkypYHK74AET3f7PFDomPeFjlqGHd2uhAWfC3KyTizDJ3ubywnEuyADEsWKWmoaugK6cjr/pub?start=false&loop=false&delayms=3000
🤔 If you have any questions to either of our speakers, you can email us at dublin@pyladies.com and we will pass them on to the speakers and post their answers via comments on the meetup and video page.
Talks
Talk 1: Reproducible machine learning projects with DVC and Poetry by Doreen Sacker
(20mins) Data Science teams live in the Python ecosystem, this means often using pip for package management and DIY solutions for data collaborations and training pipelines. The problem though is spending quite a bit of time on things that are annoying and unnecessary, such as package conflicts, missing data, and manual training processes. In this talk, I will tell you more about DVC and Poetry. Poetry resolves conflicts automatically, without you having to do it manually. DVC keeps track of assets used in projects, so we don’t have to. I want to share my experience with both tools, how it made it easier for us to work with shared data files, run training pipelines effortlessly, and let poetry handles all conflict resolution of packages.
About Doreen Sacker
I decided to become a data scientist while I was an intern at a big german E-Commerce company. There I met data scientists for the first time and saw the impact of their work. Algorithms repeat what they see, they are not objective but highly subjective and they at least partially represent views of the people that build them. I want to inspire women, queer people and everyone else underrepresented in tech to understand and have an impact on the code, the algorithms, and datasets that are being created.
Talk 2: Bridging Scratch to Python with Pytch by Glenn Strong
(20 mins) A really common entry into programming for kids is Scratch, MIT's block-based learning environment. It's great at giving users ways to build fun programs with graphics, sounds, and interaction. But when those users move on to Python they find they have to make a huge leap, often leaving behind a lot of the very fun things they have been doing to focus on text-output programs built with a very different approach. Their enjoyment and engagement can suffer as a result.
We'd like to do something to help bridge that Scratch to Python gap and in this talk I'll introduce Pytch, our "Scratch-oriented programming in Python" environment. The idea is help learners write the kind of fun and interesting programs they are used to writing in Scratch while also starting to learn about programming in Python
About Glenn Strong
Glenn Strong is an Assistant Professor in Computer Science in Trinity College, Dublin where he has over 20 years experience as an educator and researcher. Recent projects include “OurKidsCode”, developing creative family coding workshops on a national scale, and “Pytch” creating a system to bridge Scratch and Python development, both funded by Science Foundation Ireland. Other research interests include Functional programming and Formal Methods. He has directed the M.Sc. in Interactive Digital Media, and chaired grassroots organisations supporting Free and Open Source Software.
If you want to give a talk, slots still free for October 18th from 18:30.
[Update] This will be an in-person event and hosted by Honeywell. 👉 Event details
Submit your talk details to https://share-eu1.hsforms.com/1JaDd_XRCQFKb3cp0akbz8Af1bg5
Thanks and see you at the next event!
