Newcrafts Bdx

Everyone should learn programming, right? Yes! But how… Should we allow children to explore and learn about syntax on their own, or should we drill programming like we rote memorize the table of multiplication or German grammatical cases?

Felienne’s talk outlines this history of programming education and didactics beliefs in programming that lead to the prevalence of exploratory forms of teaching, starting with Papert’s LOGO.

She will then explore programming education in relation to mathematics and language education and explore how rote learning could look like for programming.

Felienne will discuss her own research into misconceptions and code phonology as means to teach programming more effectively.

At Adaptive we’ve spent a lot of our time building trading systems which have complex business requirements but also need to be fast and resilient.

The core of our system is a clustered service which uses the Raft consensus algorithm to reliably replicate state between the different nodes and hosts our application logic. We will take a quick look at Raft and then at the benefits of this design compared to more “mainstream” architectures. This architecture offers a clean separation of concerns between the infrastructure – which takes care of the concurrency, I/O and high availability aspects – and the application logic. The clean architecture is a great fit for domain-driven design.

If you fancy building fast, resilient services you should come to this talk!

This talk discusses the emerging battleground in digital and data ethics. It also considers how companies will need to consider ethics alongside privacy and cybersecurity. Further, it will explore some ways that developers can incorporate ethical practices and processes into their work.

Most introductory material on music focuses on melody, rhythm and harmony, in the tradition of written classical music. Yet, there’s much more than that in music! Playing and creating instruments, sound synthesis, psycho-acoustic perception and illusions, how all this is shaping musical genres, interactions of musicians or DJ with the audience, MIDI production techniques… these all sound like Bounded Contexts to the DDD practitioner. Through this session we’ll model parts of the rich domain of music with Java and Arduino, in what’s really an application of DDD. With some home-made cheesy video, you’ll discover and understand music in a new light, and you’ll feel like doing your own experiments back at home!

Everybody knows the classic cons list. Clojure brag about their bitmapped vector tries. Haskell weenies took it up a notch with their impossible finger trees. Rustaceans turned back the clock and gave us simple arrays again.

All of these have shortcomings. Hickey tries are magically indexable but the only other thing you can do to them is add things to the end. Finger trees are absurdly flexible but you can’t index them efficiently. And so the search goes on…

And today, you’re going to learn about the ultimate list data structure: the RRB tree (“relaxed radix balanced tree”) is an improved version of the tried and tested Hickey trie, which has achieved the impossible: /every/ basic operation is efficient - push and pop on either end, index lookup, split and join. RRB trees pull no punches.

Watch as Bodil shows you diagrams with brightly coloured boxes in an enthusiastic effort to explain why data structures are amazingly exciting.

Category Theory might be really intimidating. So much complex words used by very smart people, how can we pretend to understand this? Do we need to understand it? In a nutshell, Category Theory is the most abstract branch of mathematic. So abstract that you use it already, without knowing it, in different implementations. You also have the basic knowledge to understand more concrete examples.

The goal of this talk is to show that, once you have the correct vocabulary, Category Theory is not that hard. I’d like to demonstrate that it is always useful to understand the mathematics roots of this theory, especially if you’re interested in Functional Programming, but also to find your own useful implementation. It is a young discipline, like IT, where most things can still be discovered!

Clean Code That Works, and getting there is half the fun. Working with a legacy mess can be frustrating, boring, dangerous, and time-consuming. When FIBS occur (FIBs = Fixes that Introduce Bugs) you often enter an endless Test and Fix cycle that can quickly escalate into a nightmare. I’ve been there, you’ve been there. How do we return to pleasant dreams?