PyBay 2019 Speaker Announcement

PyBay is the Bay Area’s own Regional Conference for the Python Language, now celebrating its 4th year. Like the various PyCons, PyBay aims to be an informative, useful, and inclusive experience.

As you know, we ran a call for proposals for PyBay2019 recently in order to curate a broad, general interest program that:

• Emphasizes covering the latest developments and use of Python in various technical fields
• Is diverse and inclusive of everyone passionate about Python and doing good things with it

Thanks to your amazing submissions and the diligent efforts of Luis Meraz, Brian Spiering, Simeon Franklin and many others, we now have a lineup of amazing speakers consisted of Python Core developers, book authors, founders/CTOs, developer evangelists and industry practitioners. ~33% are from under-represented groups, and ~29% are flying in on their dime to speak to us!

You are in a treat if you want to learn more about:

• Python fundamentals
• Machine Learning
• Artificial Intelligence
• Data Science
• DevOps and Infrastructure
• Testing
• Scaling and performance
• Web development
• IoT and hardware
• Development best practices
• Job searching and interviewing tips

Below is the talk list for PyBay2019, ordered by the speaker’s first name:

1. Learning from Human Failures & Successes of PySpark — Adam Breindel
2. What’s Coming in 3.8? Assignment Expressions & More! — Adam Forsyth
3. Effective Visual Representations using Python — Alark Joshi
4. Real-Time Bidding Models to Sales Recommendations — Alice Wang
5. Convincing an entire engineering org to use mypy — Annie Cook
6. Writing good python APIs with autosig — Antonio Piccolboni
7. Python Steering Council Panel — Barry Warsaw, Emily Morehouse, Łukasz Langa, Benjamin Peterson
8. Unclogging a VFX Production Pipeline with Analytics — Bridgette Powell
9. Accelerating Driver Development with CircuitPython — Bryan Siepert
10. Plugins: using importlib to build self describing apis — Daniel Wallace
11. How to Write Pytest Plugins — Darlene Wong
12. Browser security with HTTP headers — David Lord
13. Building a Sustainable Python Package Index — Dustin Ingram
14. Dependency Injection Essentials — Edwin Jung
15. My Path to Becoming a Python Core Developer — Emily Morehouse-Valcarcel
16. Identifying influencers via Slack Messages in Python using Network Analysis and NLP — Eva Sasson
17. Python + Terraform = ♥ — Wyatt Peterson
18. An Intro to Load Testing with Locust and Python — Gabriel Boorse
19. Be Ye Therefore Wise As Serpents — Grant Jenks
20. Deploy Deep Learning Models As Microservices In Minutes — Gabriela de Queiroz & Saishruthi Swaminathan
21. Perceiving Python Programming Paradigms — Jigyasa Grover
22. Generate, Extrude, Build: creating 3D objects in code — Julia Ma
23. Building contextual AI assistants with OSS tools — Justina Petraityte
24. Audio processing and ML using python — Jyotika Singh
25. Project Jupyter: Tools for Interactive, Reproducible Data Science — Keeley Takimoto
26. Extending GDB with Python — Lisa Roach
27. Amazing things your ORM(s) can and can’t do — Louise Grandjonc
28. Beyond Paradigms — Luciano Ramalho
29. The latest with BLACK, so you can stop worrying about Formatting — Łukasz Langa
30. Make the Most of It: Negotiation and Self-Advocacy — Lusen Mendel
31. Ask the Ecosystem: Lessons from 200+ FOSS Applications — Mahmoud Hashemi
32. Migrating from REST to GraphQL under Django — Manish Sinha
33. Data Access at Kiva.org — Melissa Fabros
34. Full Stack Web with Nothing but Python: How Anvil Works — Meredydd Luff
35. Mypy — Getting to Four Million Lines of Typed Python — Michael Sullivan
36. Boring Object Orientation — Moshe Zadka
37. Customizing Sphinx: Simple, Normal, and Hard — Paul Everitt
38. Patterns for Clean API Design — Paul Ganssle
39. Profiling Python/C++ ML applications using VSCode — R.Gabriel Esteves
40. Getting Specific About Algorithmic Bias — Rachel Thomas
41. AB testing in Python — Raul Maldonado
42. Airflow in Practice: Stop Worrying Start Loving DAGs — Sarah Schattschneider
43. CuPy: A NumPy-compatible Library for the GPU — Sean Farley
44. Why you should be using structured logs — Stefan Krawczyk
45. (Deep) Learn You a Neural Net for Great Good! — Stu Stewart
46. Talking to data as you would with built-in types — Thor Whalen
47. Python and R for Advanced Analytics — Tom O’Neill
48. Building effective Django queries with expressions — Vanessa Barreiros
49. Unit testing using monkey patching in pytest — Vikram Bhat
50. Pushing the limits of Python: ML infra at Netflix — Ville Tuulos, Savin Goyal, Ravi Kiran Chirravuri
51. CUDA in your Python: Parallel Programming on the GPU — William Horton
52. Koalas: Easy Transition from pandas to Apache Spark — Xiao Li

We hope you are as excited and grateful as we are!

Please show your support and join 750+ Pythonistas this August 17–18 in San Francisco!

Grab your conference pass while tickets last: https://ti.to/sf-python/pybay2019

Want to contribute back? Get involved in making this conference even more awesome:

• Ask your company to join our amazing list of sponsors — Prospectus here
• Share your excitement about PyBay2019 on Twitter or on Facebook with #PyBay2019 and/or @py_bay
• Share this announcement with other mailing lists you belong to

Stay tuned for the talk schedule, pre-conference workshop lineup, diversity and inclusion scholarships, volunteering opportunities, and more!

On behalf of a team of amazing volunteers and sponsors, thank you so much and we look forward to seeing you August 15–19!