PyParis 2018

Conference description

The PyParis conference is a gathering of users and developers of the Python programming language.

The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply the language and tools to ever-evolving challenges in the vast realm of application development, scientific computing, data analytics, education, cloud, devops...

A major goal of our conference is to provide a venue for users across all the various domains where Python is currently used to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.

PyParis 2018 is organized by Systematic Paris Region, with the generous help and support of our sponsors.


Call for Presentations

The event brings together developers, engineers, data analysts, scientists, educators, systems architects and others from the Python community to discuss new techniques and tools that will make their work more enjoyable.

Presentation content can be at a novice, intermediate or advanced level.

Talks will run 40 min and experience reports 15 minutes, unless you have a lot to say. We may also accept shorter talks (15 minutes), lightning talks (5 minutes) and roundtable proposals.

We’re also looking for tutorials (90 minutes to 180 minutes).

As a reminder, PyParis presentations are intended to share knowledge and experience. We welcome talks letting attendees know how you are using tools in your work, but discourage any proposals with the aim of selling a product.

Note that we expect all the talks to be delivered in English, with, maybe exceptions for the education track.

If you are interested in presenting a talk, experience report or roundtable, please submit a short abstract and bio. To see the type of topics presented at previous PyParis events (aka PyData Paris), please look at our past conference site or check out the videos on YouTube.

Topics

We plan to have 3 parallel tracks around 3 or 4 main topics. Talks may also be relevant to several tracks (“Teaching deep learning to kids using a web app deployed on a Raspberry Pi…” ;).

Data

Some subject ideas (nonexhaustive):

  • Machine learning / Deep learning
  • Big data storage
  • Aggregation and ETL
  • Data visualisation
  • Business applications
  • Scientific applications

Web / cloud

Some subject ideas (nonexhaustive):

  • What’s new and exciting in web framework X (X = Django, Flask, Pyramid, Zope…)
  • New or underrated web frameworks
  • Python and the real-time Web
  • Microservices
  • Python tools for devops / cloud orchestration / …
  • X: an IaaS / PaaS built on Python
  • I built my startup on Python - an experience report
  • Decoupled architecture with REST or GraphQL

Core Python

Some subject ideas (nonexhaustive):

  • What’s new in Python 3.7 and why you should be excited
  • Using type hints for great good
  • Async programming: what does it change for mere mortals
  • Migrating to Python 3
  • Development tools
  • Distribution and packaging
  • Alternative programming paradigm in Python (functional, logic, rule-based, dataflow…)
  • Test-driven programming: methods and tools
  • Writing better Python code using X
  • Mixing Python and language X - why and how?
  • Making Python faster
  • Scaling Python
  • Alternative implementations
  • Python on “exotic” hardware
  • Python and IoT
  • Business and sustainability models for Python projects

Education

Some subject ideas (nonexhaustive):

  • Python in the classroom - best practices and experience reports
  • Teaching programming to kids using Python
  • MOOC and online learning
  • Connecting Scratch, Blockly, etc. with Python
  • Python tools for online data challenges, programming competitions, etc.

Key dates

  • 2018/09/15 CFP opens
  • 2018/09/30 CFP closes
  • 2018/10/07 real and definitive deadline for the CFP
  • 2018/10/09 Speakers are notified
  • 2018/11/14 PyParis opens

To submit a talk, you must first register or login.

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