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Hello fellow Vancouver Pythonistas!

After a long time we finally have our first 2018 VanPy meetup.
This time we are proud to have two very special talks. Join us on Tuesday, May 15th @6pm at the Eventbase Office, 1280 Homer Street. Talks will start at 6:30pm. Please make sure to arrive on time.

The talks of the evening will be:

* An Introduction to Deep Learning using Python

A brief introduction to deep learning, including some example applications and challenges behind it. In addition, we will show how to train deep learning models using Python and TensorFlow.

About the presenter: Lino Coria got a Ph.D. in Electrical Engineering from the University of British Columbia. His interests include digital image processing and computer vision. He currently works as a computer vision engineer at Wiivv.

* Type Annotation

An introduction into Python's new type annotations feature. Covering the tools for working with them, some examples of what they're good for and not good for.

About the presenter: Nat Knight is a Software Developer at the BC Centre for Excellence in HIV/AIDS, where he works on open source bioinformatics tools and viral sequence databases.

Please be aware that we follow a Code of Conduct (https://github.com/vancouver/vanpy/blob/master/code_of_conduct.md). By attending the meetup you agree to act and behave accordingly.

SPONSORS FOR TONIGHT:

FOOD SPONSOR: Wiivv (pronounced weave) is a technology company transforming footwear and apparel for every human body. Wiivv Insoles and Sandals are created uniquely for you, based on measurements taken from the award-winning Wiivv app. For open job postings, see https://wiivv.com/pages/careers or speak to one of their team members at the event.

VENUE SPONSOR: Eventbase

FUTURE SPONSORS: Please email [masked] to chat about ways to connect with the VanPy community!

VENUE: We are looking for easily accessible locations with a presentation space to seat[masked] people. Want to show off your office? Email [masked] to talk about hosting opportunities.

As always, you can reach us on slack at http://bit.ly/join-pyvr-slack.