What we're about

Anyone practicing or learning data science, analytics, machine learning and/or deep learning with Python is welcome to join! This group aims to connect those wishing to improve their skills, learn from the community and invited speakers, share best practices and simply chat about their experiences.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. 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.

The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org) or the group organizer.

Upcoming events (1)

PyTorch Under The Hood


We’re excited to announce the first of the PyData Montreal meetups! **Agenda** 6:00 pm—Doors open 6:30 pm—Talk by Christian S. Perone 7:30 pm—Networking **Note: the agenda is not final and may slightly change. We are happy to have Christian S. Perone to talk about PyTorch under the hood. This is a talk for those interested in having a better understanding of the tools we often use. In this talk, we will show how PyTorch really works under the hood, how tensors are managed and also some concepts that were introduced in PyTorch 1.0 and some tips for deploying models in production. Basic knowledge of PyTorch is required and we will also show some C++ code but you don't have to know it. About Christian: Christian S. Perone has a computer science background and worked for the past 14 years in the industry as a software engineer and research engineer. He is also an open-source maintainer and his research interests span machine learning for computer vision, natural language processing, and medical imaging. He is currently doing his masters at Polytechnique Montreal on Deep Learning for medical imaging. He also blogs about machine learning at http://blog.christianperone.com.

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