I'm passionate about programming, I simply love it.
I like to learn and this industry
brings to me the opportunity to discover new amazing stuff almost every single day.
Constant learner on how to improve writing clean and reliable code.
MIT 6.006, Fall 2011 This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming and introduces basic performance measures and analysis techniques for these problems.
O'Reilly Webcast: MongoDB Schema Design: How to Think Non-Relational
Justin Abrahms: Computer science fundamentals for self-taught programmers - PyCon 2014
From OSCON 2015 in Portland: In the software world, architecture often gets a bad reputation. I’ll talk about why it matters, and how we can pay attention to it without falling into traps.
Best practices for beautiful intelligible code - PyCon 2015