Mostly as a backend developer in Python and Go, Peter has contributed to Bloomreach's Engagement product for almost 8 years since finishing studies in Computer Science at FMFI UK BA.
He has helped the company - and its predecessor Exponea - become one of the leaders in the CDP and Marketing Cloud market.
Peter has developed many other for-profit and nonprofit web applications, with the most popular one having been used by over 100k registered users across the globe.
English languagePeter Dolák
Stereotype is a performance-focused Python 3.8 library for providing a structure for your data and validating it. The models allow fast & easy conversion between primitive data and well-typed Python classes. In the talk we’ll cover these topics:
- Why you should use data models for data conversion and validation
- Stereotype vs. other libraries doing a similar thing
- Pushing Python's limits - the optimizations and hacks behind stereotype