Rationale Behind Julia and the Vision | Jeff Bezanson, Stefan Karpinski | Julia Tutorial MIT 2013 Published 2013-03-29 Download video MP4 360p Recommendations 16:25 Michael Tiemann - Julia solves the 2 language problem, however it creates the 1.5 language problem 1:20:22 Lecture 2: RPC and Threads 44:07 Data Analysis in Julia With Data Frames | John Myles White | Julia Tutorial MIT 2013 1:17:35 4. Assembly Language & Computer Architecture 30:06 Tim Besard - GPU Programming in Julia: What, Why and How? 1:10:42 1. What Makes Healthcare Unique? 1:00:41 The Worst Programming Language Ever - Mark Rendle - NDC Oslo 2021 49:50 4. Stochastic Thinking 1:25:00 Lecture 6: Version Control (git) (2020) 53:30 Lec 1 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008 42:24 Fons van der Plas - 🐤 Pluto.jl: Reactive and Reproducible Notebooks for Julia 1:02:34 MIT Godel Escher Bach Lecture 1 37:28 Jeff Bezanson - What's the deal with Julia binary sizes? 51:14 Kernel Recipes 2023 - Faster & Fewer Page Faults 1:15:54 4. Blockchain Basics & Consensus 1:17:35 Lec 1 | MIT 6.01SC Introduction to Electrical Engineering and Computer Science I, Spring 2011 1:00:49 The Art of Code - Dylan Beattie 07:40 How much faster has Mojo's dictionary gotten? 47:18 The Tragedy of systemd Similar videos 34:38 Rationale Behind Julia and the Vision - Jeff Bezanson and Stephan Karpinski, MIT 35:44 Parallel and Distributed Computing With Julia | Jeff Bezanson | Julia Tutorial MIT 2013 1:01:29 Jeff Bezanson & Stefan Karpinski - Julia: Numerical Applications Pushing Limits of Language Design 52:03 JuliaCon: The Podcast #4: "Where's Huda?" - Jeff Bezanson, Stefan Karpinski, Tim Holy 17:36 Networking in Julia | Keno Fischer | Julia Tutorial MIT 2013 21:56 Julia and Python: a dynamic duo for scientific computing; SciPy 2013 Presentation 1:07:38 Jeff Bezanson vesves Stefan Karpinski ia: Numerical Applications Pushing Limits of Language 13:04 Fast Fourier Transforms in Julia | Steve Johnson | Julia Tutorial MIT 2013 1:22:20 Jeff Bezanson: Designing + Implementing Julia 30:11 Jeff Bezanson - Why is Julia fast? 47:17 Introduction to Julia Internals | Jeff Bezanson | JuliaCon 2014 06:47 Julia at ‘Escape Velocity’ - Jeff Bezanson Talks Julia with Bruce Tate 16:39 Solving the Grid of Resistors Lab in Julia | Viral B. Shah | Julia Tutorial MIT 2013 22:44 Languages of Data Science: A Tower of Babel? Python, R, Julia, Matlab, SAS 27:01 What's New in Julia? - Jeff Bezanson 10:35 A programming language to heal the planet together: Julia | Alan Edelman | TEDxMIT 22:28 Julia: A Fast Dynamic Language for Technical Computing More results