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01:20:51
Development Follow 779 Followers

Making the Case for Review

Posted by Austin Bingham  on  Sep 16, 2015 Posted by Austin Bingham Follow 0 Followers  on  Sep 16, 2015

Austin Bingham answers questions on reviews: how long should they be, what should be reviewed, how do reviews account for an increase in quality and ROI?

01:21:47
Big Data Follow 155 Followers

Spreadsheets for Developers

Posted by Felienne Hermans  on  Sep 11, 2015 Posted by Felienne Hermans Follow 0 Followers  on  Sep 11, 2015

Felienne Hermans presents various algorithms that outlining the power of Excel, showing that spreadsheets are fit for TDD and rapid prototyping.

01:06:38
Culture & Methods Follow 881 Followers

Learn from the Mistakes of Others

Posted by Alison Lloyd  on  Sep 04, 2015 Posted by Alison Lloyd Follow 0 Followers  on  Sep 04, 2015

Alison Lloyd examines some less-than-stellar occurrences in non-software fields, drawing out some ideas that she hopes will make software development a little less painful.

01:10:33
Functional Programming Follow 158 Followers

Atomic Counters or a Lesson on Performance and Hardware Concurrency

Posted by Detlef Vollmann  on  Aug 29, 2015 Posted by Detlef Vollmann Follow 0 Followers  on  Aug 29, 2015

Detlef Vollmann explores the performance and scalability issues of atomic and possible solutions to overcome them.

01:29:03
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Compile-time Computations in C++14

Posted by Peter Sommerlad  on  Aug 20, 2015 Posted by Peter Sommerlad Follow 0 Followers  on  Aug 20, 2015

Peter Sommerlad covers compile-time computations available in C++14: constexpr functions and constants, literal types, variable templates, variadic templates and what can be expected in the future.

01:38:02
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What We Talk About When We Talk About Unit Testing

Posted by Kevlin Henney  on  Aug 14, 2015 1 Posted by Kevlin Henney Follow 6 Followers  on  Aug 14, 2015 1

Kevlin Henney discusses unscalable tests, tricks and tips that make tests more specification-like and scalable to large codebases, and choosing between scenario-based and property-based test cases.

53:38
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Large-scale Scientific C++ For Casual Coders: Why You (Should) Care

Posted by Axel Naumann  on  Aug 05, 2015 Posted by Axel Naumann Follow 0 Followers  on  Aug 05, 2015

Axel Naumann introduces the use of C++ for storing and analyzing petabytes of C++ objects at CERN, and more generally in High Energy Physics.

01:24:53
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The Dos and Don'ts of Multithreading

Posted by Hubert Matthews  on  Jul 29, 2015 2 Posted by Hubert Matthews Follow 0 Followers  on  Jul 29, 2015 2

Hubert Matthews describes some of the problems encountered in multithreading and discusses how to avoid them through appropriate design choices.

01:32:57
.NET Follow 458 Followers

Portable Code - The Trials of Porting Total War from Windows to Mac OS X

Posted by Tom Miles  on  Jul 23, 2015 Posted by Tom Miles Follow 0 Followers , Guy Davidson Follow 0 Followers  on  Jul 23, 2015

Guy Davidson, Tom Miles discuss 64-bit programming pitfalls, Unity builds, writing portable code, and persuading a large development team of varying levels of skill to write portable code as well.

01:00:35
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In the Toolbox - Live!

Posted by Chris Oldwood  on  Jul 16, 2015 Posted by Chris Oldwood Follow 0 Followers  on  Jul 16, 2015

Chris Oldwood takes a look at a variety of both command-line and GUI tools - build automation, testing and support - that have proved to be useful to the speaker time-and-time again.

59:51
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Becoming a Better Programmer

Posted by Pete Goodliffe  on  Jul 09, 2015 Posted by Pete Goodliffe Follow 0 Followers  on  Jul 09, 2015

Pete Goodliffe keynotes on what it takes to become a better programmer, discussing tools for reviewing the personal skillset and techniques to help one “become a better programmer”.

01:23:00
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Using a Graph Database for JVM Heap Analysis

Posted by James Richardson  on  Mar 19, 2015 2 Posted by James Richardson Follow 0 Followers , Nat Pryce Follow 1 Followers  on  Mar 19, 2015 2

James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.

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