The ability to produce elegant code in high-level programming languages is correlated with being a clear thinker and writer. Writing clear and easy-to-digest code is important as modern information systems continue to grow in complexity.
This episode discusses the visual style of Ruby and how it helps to reduce line noise through the absence of unnecessary characters like semicolons, making for more concise and clean code.
The hosts discuss the appeal of historical programming languages such as Basic and Lisp due to their rich history and famous users in computer science and artificial intelligence.
Deliberate practice involves writing for editing, acceptance, and rejection, a concept that can improve writing skills faster than writing alone in a journal or personal blog. Applying deliberate practice to writing is crucial for better writing, similar to programming and poetry writing.
In this podcast episode, the speaker discusses the process of building a team of programmers or problem solvers for large scale data. They explore the varying fields that Google hires from, and how programming skills can be applied to different disciplines.
Physicists rely more on deep memory stores, while mathematicians demand heavy use of working memory, as they work out theorems and keep multiple concepts in mind simultaneously.