values

Rich Hickey's JaxConf 2012 keynote examines what values are and why immutable values matter as information systems grow more complex and data gets bigger. It contrasts places with values and builds the case for immutability.

Bryan Cantrill's Monktoberfest 2017 talk on leadership and organizational principles, ranging from the Gettysburg Address to Uber and Amazon. He argues for the difference between principles and values and criticizes vague corporate principles.

Bryan Cantrill argues that programming languages and platforms reflect core values, and compares languages through that lens, with Rust as a main example. He draws on his experience with Solaris, DTrace and ZFS.

John Rauser's Strata 2014 keynote argues that programmers can learn statistics quickly by simulating random processes and shuffling data. He explains p-values through resampling rather than formulas.

Clayton Christensen's TEDx talk applying business theory to personal life. He argues that career success is not the right measure of a life and urges attention to relationships and values.

Rich Hickey's talk on time, state, identity and values, arguing that mutable object-oriented modeling fits the world poorly. It lays out the thinking behind Clojure's approach to data and change.

Psychologist Jonathan Haidt presents his moral foundations research in a TED talk. He argues that liberals and conservatives weigh a different set of moral values, which helps explain political divides.

Michael Feathers' GOTO Chicago 2018 talk on reducing error checks and conditional logic in code. He offers a framework for handling errors and decisions at the level of code and architecture.

A Lambda Days keynote by Simon Peyton Jones and Tim Sweeney introducing Verse, Epic's functional logic language for the metaverse. It covers existential variables, unification and expressions yielding multiple values.

Herb Sutter revisits basic C++ questions in light of C++11 and C++14: how to declare and initialize variables, pass values to functions, write loops, and use smart pointers. It covers auto, rvalue references, range-for, uniform initialization, lambdas, unique_ptr and shared_ptr.