We’re happy to announce our keynote lineup for EuroPython 2020.
Guido van Rossum - Q&A
In this session, you’ll get a chance to get your questions answered by Guido van Rossum, our retired BDFL.
In order to submit a question, please use the following Google form: Guido van Rossum Q&A: Question Submission.
Siddha Ganju - 30 Golden Rules of Deep Learning Performance
“Watching paint dry is faster than training my deep learning model.”
“If only I had ten more GPUs, I could train my model in time.”
“I want to run my model on a cheap smartphone, but it’s probably too heavy and slow.”
If this sounds like you, then you might like this talk.
Exploring the landscape of training and inference, we cover a myriad of tricks that step-by-step improve the efficiency of most deep learning pipelines, reduce wasted hardware cycles, and make them cost-effective. We identify and fix inefficiencies across different parts of the pipeline, including data preparation, reading and augmentation, training, and inference.
With a data-driven approach and easy-to-replicate TensorFlow examples, finely tune the knobs of your deep learning pipeline to get the best out of your hardware. And with the money you save, demand a raise!
Naomi Ceder - Staying for the Community: Building Community in the face of Covid-19
Python communities around the world, large and small are facing loss - from the loss of in person meetups and conferences to the loss of employment and even the potential loss of health and life. As communities we are all confronting uncertainty and unanswered questions. In this talk I would like to reflect on some of those questions. What are communities doing now to preserve a sense of community in the face of this crisis? What might we do and what options will we have for coming events? How can we build and foster community and still keep everyone safe? What challenges might we all face in the future? What sources of support can we find? What are our sources of optimism and hope?
Alejandro Saucedo - Meditations on First Deployment: A Practical Guide to Responsible Development
As the impact of software increasingly reaches farther and wider, our professional responsibility as developers becomes more critical to society. The production systems we design, build and maintain often bring inherent adversities with complex technical, societal and even ethical challenges. The skillsets required to tackle these challenges require us to go beyond the algorithms, and require cross-functional collaboration that often goes beyond a single developer. In this talk we introduce intuitive and practical insights from a few of the core ethics themes in software including Privacy, Equity, Trust and Transparency. We cover their importance, the growing societal challenges, and how organisations such as The Institute for Ethical AI, The Linux Foundation, the Association for Computer Machinery, NumFocus, the IEEE and the Python Software Foundation are contributing to these critical themes through standards, policy advise and open source software initiatives. We finally will wrap up the talk with practical steps that any individual can take to get involved and contribute to some of these great open initiatives, and contribute to these critical ongoing discussions.
Jessica McKellar - Python in Prison: how open source can change a criminal justice system
The United States has the highest incarceration rate in the world, with over 2.2 million people behind bars in our prisons, jails, juvenile facilities, and detention centers.
The system is racist and ineffective, but how do we change something so big and so economically entrenched, especially as software engineers?
Let’s look at how Python classes in US prisons are transforming rehabilitation and re-entry, and talk about what we can do as individuals and as an open source community to dismantle an unjust system.
EuroPython 2020 is waiting for you
We’ve compiled a full program for the event:
- more than 120 sessions,
- more than 120 speakers from around the world,
- 5 brilliant keynotes,
- 2 exciting lightning talk blocks,
- 4 all-day tracks, with a whole track dedicated to data science topics,
- a poster track,
- a virtual social event,
- an after party,
- and lots of socializing on our conference platform.
Conference tickets are available on our registration page. We hope to see lots of you at the conference from July 23-26. Rest assured that we’ll make this a great event again — even within the limitations of running the conference online.