Python November Meetup: JAX vs Numpy & Microservices and distributed data

This month we have two awesome sessions on microservices & JAX:

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• ➡️ What: How to resolve the issue with the inconsistency of distributed data in your Python project
• 📢 Who: Pavel Lonkin (🐦 @pavel_lonkin)
• ⏱ Duration: ~30 minutes
• 👅 Language: English
• 🧐 Abstract: Often in the microservice architecture, you have to share the data between services. How do you resolve this problem in your product? I will share what approach we are using for our fancy Django services and also share the tip on how to do zero downtime continuous migration of data when you are in the process of splitting the monolith.

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• ➡️ What: Introducing JAX: a faster and more efficient Numpy
• 📢 Who: Ferran Jiménez
• ⏱ Duration: ~20 minutes
• 👅 Language: English
• 🧐 Abstract: JAX is an Open Source Python library created by Google and already adopted by DeepMind. JAX supports automatic differentiation and employs XLA, resulting in faster numerical computing than Numpy.

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➡️ Only register if you can attend!

• This is a reduced capacity event. Only register if you plan on attending, and if something comes up please free your spot so somebody else can pick it up!

➡️ Location

• 🧭 CloudBlue: Plaça d'Ernest Lluch i Martin, 5, 08019 Barcelona (Torre Diagonal Zero Zero) (🐦@ThisIsCloudBlue)

➡️ Access Control

• 🛂 The security access control requires an attendee list and a means of identification. Provide your full name in your profile, otherwise you will be REMOVED from the list. For the event, bring some form of identification (DNI, NIE, passport).
• 🔞 People under 18 years old only allowed accompanied by one parent or legal guardian.
• 🚷 There are limited seats, please BE RESPONSIBLE when signing up. If you can't make it, please free up your seat, so someone else can attend. We keep a list with repeated offenders!

➡️ More

• 📢 We need talk proposals! Send yours
• 🦄 Wanna publish a job offer?
• 🐦 Follow @PyBCN for pictures, slides, videos and more