What we're about

"A single interface for different types". Polymorphic strives to become THE community for an open-minded software engineer.

• Tired of 2h meetups that teach you nothing? We are too.

• Tired of bad presentations that only confuse you? We are too.

• We won't make you suffer through listening to a Redux library clone presentation or why someone loves Angular and its API.

This community is created by developers for developers.

Like the idea? Join the community on Slack and let's grow together: 🚀

https://bit.ly/2HbNg6G

At Polymorphic we want to communicate the importance of seeing the bigger picture, of relationships inside and outside the company, encouraging people by telling failure stories and how people like you solve complex problems, find witty solutions and more.

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We plan to create:

• Hackathons

• Meetups

• Casual gatherings

• Workshops

• Community channel

and more...

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Want to help out? Please, get in touch with the organisers or send an email to rolandjegorov@gmail.com

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We'd love to hear you speak! ❤️

We have 2 types of talks you can propose:

—— Lightning talk - 5-10min ⚡️

—— Full talk - 25-30min 🚀

Propose your talk here - https://goo.gl/forms/ZajjAzQt6Bi3yiQE2

Upcoming events (1)

Adventures and failures in software engineering and machine learning

Welcome to the first Polymorphic tech meetup in Paris! The theme of it is failures in starting big projects, how actually is it in the field of Machine Learning (ML), how hard is it to start and what is the "Why" behind doing ML in 2019. Speaker list: - Amine Benhenni. PhD and CTO @Dataswati. Amine's topic is "Machine learning - beyond the algorithms". Amine will tell you about his experience of building a fullstack data science project from scratch, handling human resources, getting out of the prototyping cycle and actually getting clients. http://www.dataswati.com A Machine learning startup working with manufacturers, factories to improve their performance by analysing data. (Full speech) - Ilya Prokin. PhD, Data scientist @Dataswati His journey from academia into the startup world of machine learning. About failures, expectations vs reality and that machine learning field is not only for PhDs or mathematicians. (Lightning talk) - Elia Maino. Software Engineer @dailymotion Pitfalls and issues of taking over a complex software project. His learning path through growing a new team @dailymotion and other useful bits. (Full speech) 18:30 Opening of doors 19:00 Announcement from organisers 19:05 First speaker 19:45 Lightning talk 19:55 Second speaker 20:30 Finishing up 20:35 Networking on the premises 21:30 Closing Attendance is free! —————————————————— Polymorphic community is aimed at improving all aspects of an engineers work life. The goal is to grow it into a community of like-minded individuals, organise hackathons, workshops and more. Each meetup will have the following format: - 2 full speakers (25-30min) - 1-2 lightning speakers (5-10min) in between the full speakers - Networking Presentations will be split into technical and bigger picture, work processes oriented. —————————————————— Want to speak? 👏🏻 Propose your talk here - https://goo.gl/forms/ZajjAzQt6Bi3yiQE2 Want to help out? Please, get in touch with the organisers or send an email to [masked] —————————————————— Be sure to join our Slack community channel here: https://bit.ly/2HbNg6G —————————————————— See you soon! —————————————————— Your consent: By pressing “Going” to attending this event, I declare my consent to Polymorphic with the unremunerated creation and use of video and/or photographic images of my person taken during this event. I acknowledge and agree that my images and related descriptions may be altered as deemed appropriate by Polymorphic prior to publication in social media platforms, Slack channels, presentations etc. If you want to attend the event but do not agree of usage of your images or videos, please, press “Yes” to attend this event and add your full name and surname in the comment section and pictures and video of you will not be used. (This applies to pictures with 5 or less people where you can clearly be recognised.)

Photos (1)