💞🚀 Party time!!! PyData Seattle meetup - Re-Launch event! 💙💚 NumFOCUS 🚀💜
Details
💚💙 🎉 Come and celebrate with us! The Re-LAUNCH PARTY of our PyData Seattle meetup by NumFOCUS!
🌷 🌸 🌼 PyData Seattle meetup is an accessible, community-driven meetup, with novice to advanced level presentations in Data Science/ML/AI/DL
💞 💟 Event program:
6:00 - 6:45 - Eat, beverages and network. Sponsor: Databricks 🎉 Noteable and Elastic 💞
6:45 - 7:00 - Announcements 💙 💚
7:00 - 8:00 - Talks:
- Rui Wang - Scale Data Science by Pandas API on Spark
- Rahul Baboota - Using Deep Learning to Discover New Molecules
8:00 - 8:15 - Raffle! 💚💙 🎉:
- 2 Ticket to PyData Seattle 2023 💖 3-day conference, April 26 - 28 Hosted by Microsoft. 1 ticket for a women and 1 ticket for a men [Ticket price > $400] - Sponsor NumFOCUS
- 5 Books! Learning Spark - Sponsor Databricks Denny Lee!
🚀 Check out our PyData videos!
Bellevue Place parking after 8:00 p.m. is complimentary – No validation is necessary.
🌺 Talk: Scale Data Science by Pandas API on Spark
✅️ Rui Wang is currently a senior software engineer at Databricks in the greater Seattle area who is working on Apache Spark and its ecosystem. Prior to this experience, Rui worked at Google on big data backend (execution engines) and big data frontend (SQL, Java, Python SDKs). Rui has built expertise on the area of big data computing and has been working on projects that help scale data science applications. Rui is also a active open source contributor and has been serving as a committer for Apache Software Foundation projects.
With Python emerging as the primary language for data science, pandas has grown rapidly to become one of the standard data science libraries. One of the known limitations in pandas is that it does not scale with your data volume linearly due to single-machine processing. Pandas API on Spark overcomes the limitation, enabling users to work with large datasets by leveraging Apache Spark. In this talk, I will introduce Pandas API on Spark and help you scale your existing data science workloads using that. Furthermore, I will share the cutting-edge features in Pandas API on Spark.
🌺 Talk: Using Deep Learning to Discover New Molecules
✅️ Rahul Baboota, I am a huge data geek and currently an Applied Scientist at Microsoft. I have been fascinated with the world of data and machine learning since I first learned about it and have been extremely fortunate enough to have worked alongside great people and projects including working at the top NeuroImaging lab in US at my alma matter USC as well as working on developing Drug Discovery Deep Learning models at NVIDIA.
This talk will go into how Deep Learning is changing the world of Cheminformatics. We will dive deep into how we can leverage traditional NLP Transformer models can enable us to performing a totally uncorrelated task such as Drug Discovery. This talk will give a brief introduction to the field of Cheminformatics and then go into detail as to how and what kind of Transformers can be utilized for the task at hand.
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PyData Seattle is looking for speakers.
All talks are subject to recording, photography, and sharing.
Fill in the form and let everyone know about the cool work you are doing: Here 💟
💙 💚 Sponsor PyData Seattle
Host an event or provide some delicious food and snacks for our attendees 🍬 🍭🍿
Email us at [pydataseattle@gmail.com](https://forms.gle/FYrxFdCQcM3SrQ9V9) or fill out the form here
🌟 PyData Seattle is a regional chapter of the international conference series PyData by NumFocus.
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
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🌷 🌸 🌼 NumFOCUS envisions an inclusive scientific and research community that utilizes actively supported open source software to make impactful discoveries for a better world.