Our last meetup of 2021, and we have Jeffrey Roe (of the awesome TOG Hackerspace and Dublin Maker) speaking about using Python to play a physical game via the internet, and our 2nd speaker is Pavithra Eswaramoorthy speaking about "Scaling Data Science with Dask".

🔴 The event will be live-streamed, so join us in live chat, chill with your tea/coffee and some biccies.

👍 and subscribe to our Youtube channel and hit that 🔔 to know when videos/streams are coming up next.

📢 If you have any announcements or questions, you can email us at dublin@pyLadies.com

TALKS:

TALK 1 : "Using Python to bring a physical game to the Internet" by Jeffrey Roe

Description:
(15 mins) The talk will outline how a LED game got Jeffrey's living room onto the internet for all to play it. The project mixture Raspberry Pi, Arduino, LED display array and an IoT smart plug all in one. The game uses remote.tv to allow the player to remotely control all the buttons of this fun arcade-style LED game. The game has the user trying to kill all the red dots in order to stay alive and not see hot pink.

Bio:
Jeffrey is a software/hardware engineer, working on public transport systems. In his spare time, he likes to make fun projects. On the team of festival makers for Dublin Maker, co-founder of Tog Hackerspace and Council member of Engineers Ireland
https://twitter.com/Jeffrey_Roe

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TALK 2: "Scaling Data Science with Dask" by Pavithra Eswaramoorthy

Description:
(30 mins) With the growing significance of big data for data science and machine learning, scaling data work is more important than ever.

In this talk, you'll learn to scale your workflow to larger datasets and larger models, while staying in the comfort of the PyData ecosystem (NumPy, pandas, scikit-learn, Jupyter notebooks), using Dask.

Dask is an open source library for parallel computing in Python. It provides a complete framework for distributed computing and makes it easy for data professionals to scale their workflows quickly. Dask is used in a wide range of domains from finance and retail to academia and life sciences. It is also leveraged internally by numerous special-purpose tools like XGBoost, RAPIDS, PyTorch, Prefect, Airflow, and more.

After attending, you'll know:

• What is Dask, how it works, and what makes it powerful;
• What are parallel, distributed, and cloud computing technologies;
• When to consider scaling your data and machine learning work, and when not to;
• How to use Dask to leverage parallelism on your local workstation, such as your laptop;
• How to use Dask to harness the power of distributed clusters (on-cloud or on-prem) from the comfort of your laptop.

Bio

Pavithra works as an Evangelist at Coiled, where she helps make scalable data science more accessible to everyone. She also contributes to open-source software at Bokeh and Wikimedia. In her spare time, she enjoys a good book and coffee. :)
https://www.linkedin.com/in/pavithra-eswaramoorthy-47977b146/;

🕰 SCHEDULE (*subject to change & in Irish Times)

18:30 - 18:35 Event Starts / Settle down with cup of tea/coffee
18:35 - 18:45 Welcome & Announcements
18:45 - 19:00 "Using Python to bring a physical game to the Internet" by Jeffrey Roe
19:00 - 19:30 "Scaling Data Science with Dask" by Pavithra Eswaramoorthy
19:30 Event ends

📢 CALL FOR SPEAKERS for 2022

Interested in speaking at our upcoming meetups, email dublin@pyladies.com.

🔍 FAQ

Q. I'm not female, is it ok for me to attend?
A. Yes, PyLadies Dublin events are open to everyone at all levels.

Q. What do you do at PyLadies Dublin Meetups?
A. We have short (or long talks), demos, folks working on their own projects, ask questions on Python-related topics, work on projects together or generally chit-chat and meet like-minded people.

Q. Do you have a Code of Conduct?
A. Yes, you can find it at dublin.pyladies.com