JuliaCon2018 videos on YouTube

Last year I wrote a bit of code to extract titles and links to the YouTube videos for JuliaCon 2017, and I dug it out to see if it could be updated to run on v1.0… (Of course it could!) The titles are in alphabetical order. It’s possible that the speakers’ names and a “JuliaCon 2018” might be added to the titles in the near future; I’ll run this again and update this topic if need be.

0.1 vs 1//10: How numbers are compared :link:
10 tips on how to build better binaries :link:
500K - Providing training to 500K individuals across India in AL :link:
A Scalable Scheduler Plugin For Daggar on JuliaRun :link:
A conversation with Gilbert Strang :link:
A formula for bringing data across table–matrix divide :link:
A practical introduction to metaprogramming in Julia :link:
ARCH Models in Julia :link:
Advocating for public policy change with Julia :link:
Algebraic Simplification Using Rewrite.jl :link:
An Introduction to Julia :link:
An intro to Bayesian parameter estimation of differential equation models using DiffEqBayes.jl :link:
An introduction to high performance custom arrays :link:
Atomistic Simulation with Julia !:link:
Atomistic simulation with Julia :link:
BayesTesting.jl: Bayesian Hypothesis Testing without tears :link:
BioJulia and Bioinformatics in Julia: Past, Present, Future :link:
BoltzmannMachines.jl a Julia native package for training and evaluating :link:
Brainy Things: Brain Computer Interface meets Internet of Things :link:
Bringing ocean, climate and ecosystem modeling to Julia :link:
Building a strong foundation for geospatial innovation :link:
Cassette: Dynamic, Context-Specific Computer Pass Injection for Julia :link:
Combine ML for Seamless Ensembling of Machine Learning Models :link:
Combo:.jl: Combinatorial Optimization in Julia :link:
Complex Network Anaylsis of Political Data :link:
DataDeps.jl and other foundational tools for data driven research :link:
DataDeps.jl and other foundational tools for data driven research !:link:
Domo + Julia: Learnings from scaling Julia up to process petabytes in production :link:
EcoJulia - towards a framework for ecological data analysis in Julia :link:
Efficient Modelling of Biochemical Reaction Networks :link:
Engineering Julia for Speed :link:
Enhanced String handling in Julia :link:
Estimating Non-Linear Macroeconomic Models at the New York Fed :link:
EvolvingGraphs.jl: Working with Time Dependent Networks in Julia :link:
Extended Precision :link:
Fast and efficient multicore processing over the cloud with Julia :link:
Fast derivative pricing in Julia :link:
Flux: The Elegant Machine Learning Library :link:
For Loops 2.0: Index Notation And The Future Of Tensor Compilers. :link:
ForneyLab.jl: a Julia Toolbox for Factor Graph-based Probabilistic Programming :link:
From Deep Neural Networks to Fully Differential Programs :link:
GPU - Accelerated Value Function Iteration in Julia :link:
GSReg.jl: High Performance Computing in Econometrics :link:
Graph Interfaces: bespoke graphs for every occasion :link:
HTTP jl Progressing library for all your Julia web needs :link:
Hierarchical Tensor Decompositions in Julia :link:
How Esty handles “Peeking” in A/B Testing :link:
How JuliaDB works :link:
How to design equiripple filters in Julia? :link:
Implementing the NAG library with with Clang.jl :link:
Information Overload: tools for making program analysis and debugging manageable :link:
Interacting with nested data :link:
Joulia.jl – A Package for Large-scale Open-source Electricity Sector Models :link:
Julia 1.0 release (Juliacon 2018 reception founders talk) :link:
Julia and Geophysics: Rocking with C calls and Metaprogramming :link:
Julia apps on the App Store: Building and distributing an application written in Julia :link:
Julia as a platform for language development :link:
Julia for Interactive Data Visualization: Adding Dynamic Behaviour to Static Documents :link:
Julia for Physics: Quantum Monte Carlo :link:
Julia for Space Science: An Antidote for complexity :link:
Julia is an R & D binding agent :link:
Julia powered personalised mathematics homework :link:
JuliaBox: scalable apps, GPUs, and courses :link:
JuliaDBMeta and StatPlots: metaprogramming tools for manipulating and visualizing data :link:
JuliaPro post 1.0 release :link:
JuliaRobotics: Making robots walk with Julia :link:
LARLIB.jl: Solid Modelling in Julia :link:
Large Scale Airborne Electromagnetic Geophysics in Julia :link:
Latexify.jl and how Julia’s metaprogramming makes it useful :link:
LightFields.jl: Fast 3D image reconstruction for VR applications :link:
Low Level Systems Programming in High Level Julia :link:
MIToS.jl: Mutual Information Tools for protein sequence analysis in Julia language :link:
Machine Learning with Julia: Elegance, Speed and Ease :link:
Making Julia Inclusive and Accessible :link:
Making the test-debug cycle more efficient :link:
Memento: Logging for Systems and Applications :link:
Minecraft and Julia: A new way to build stuff and learn how to program :link:
Multi-Dimensional Bisection Method for finding the roots of non-linear implicit equation systems :link:
Native Elementary Functions in Julia :link:
Natural Language Processing workshop using Julia :link:
New in DataStreams.jl: Type flexibility, querying, and parallelism :link:
Nick Higham - Tricks and Tips in Numerical Computing :link:
Numerical Analysis in Julia :link:
OMEGA: Fast, causal Inference from Simple Parts :link:
Optimization of a pumped-storage hydro power plant in Julia with SDDP Algorithm :link:
Our journey through the Perils of AOT compilation :link:
Parallel Computing with MPI-3 RMA and Julia :link:
Parallel Prefix Polymorphism :link:
Parameters.jl: keyword constructors and default values for types :link:
Performance of Monte Carlo pricing of Asian options using multi-threading :link:
Performance of a distributed Julia simulation on an AWS Spot Fleet vs a Cray Supercomputer :link:
Pkg3 - The new Julia package manager :link:
Probabilistic modelling of long course sailing craft routing :link:
PuMaS.jl: Pharmaceutical Modeling and Simulation Engine :link:
Queryverse :link:
RHEOS: Making mechanical testing more accessible with Julia :link:
Representing functions and solving differential equations rigorously with Taylor models :link:
Saving lives with Julia :link:
Scalable Data Science with JuliaDB and OnlineStats :link:
Self-tuning Gradient Estimators through Higher-order Automatic Differentiation in Julia :link:
Show casing Julia on the Web :link:
Simulating global plant biodiversity :link:
Solving Partial Differential Equations with Julia :link:
Solving sparse linear systems with Trilinos.jl :link:
StructuredOptimization.jl: a new optimization package for Julia :link:
Subtyping made friendly :link:
Symbolic Mathematics in Julia :link:
Systemic Model of Banking Originated losses in Julia :link:
TIM: Unified Large-scale Forecasting system for Load, Gas, Solar and Wind in Julia :link:
Tame your databases: SearchLight ORM :link:
Teaching Data Analysis first steps with Julia :link:
Teaching Statistics to the Masses with Julia :link:
The Future of Microprocessors :link:
The JuliaGraphs ecosystem: build fast - don’t break things :link:
The New Circuitscape in Julia - modern, fast and scalable :link:
The Rise of the Research Sofware Engineer :link:
The Turing language for probabilistic programming :link:
Understanding the real world: large-scale point cloud classification :link:
Unraveling lymphoma tumor microenvironment interactions with Julia :link:
Using Julia in a multi user, production capital modelling environment :link:
Visual Studio Code Julia extension :link:
Whale recognition using a CNN with Julia :link:
Why Julia is the most suitable language for science :link:

“Atomistic Simulation with Julia” appears twice in the list, and the first link (https://www.youtube.com/watch?v=7E83Qkc6ZDg) doesn’t appear to actually have a video with it. Probably need to manually scrub that one.

Nice list!

On a related note, several of the videos have quite a bit of silence with the audio and video only starting after showing several minutes of the silent JuliaCon splash screen. I suggest that these videos be trimmed.


Agreed. Still, it was fantastic to have the talks streamed!

There are a few dupes; I think the AV folks are still working on the final edits… Also, the titles might get edited…

Regarding Nick Higham - Tricks and Tips in Numerical Computing, Could you please add the link to the Presentation (Direct Link) in his video to the “Show More” section of the video for easy access for viewers?

1 Like

I’m not sure where the best place to report issues is going to be. Perhaps the github repo for the website – here? I’m sure Viral will allow you to volunteer to help with changing the descriptions… :slight_smile:

@cormullion, Are you referring to me with your answer?
It has nothing to do with the Julia website.

I was talking about the video in Youtube.
Nick, the speaker, in his slides shows the link to the PDF of the slides.
It would be great if in the “Show More” section in Youtube you will add the link so people will have easy access to the slides.

Oops, i forgot it’s got its own top level repo. Try here for information about reporting video problems. Although it looks like they’ve moved to google docs…