Propositions for re-cutting videos from JuliaCon 2019

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Many videos from JuliaCon 2019 have quite long openings, when we can see only poster of this JuliaCon or watch preparation for the talk. Also they can have similarly long endings. Below you can see information about 20 from 117 talks on JuliaCon 2019 playlist and my suggestion about time boundaries to cut them. I hope that at the end of the week I will make such annotations to all talks from this JuliaCon.

I’m doing this because it is easier to wait with making timestamps until someone edit video, than adjusting them afterwards and I want to make timestamps to keynotes from this JuliaCon.

Title of the talk Starts at Ends at Length of the video
Scientific AI: Domain Models with Integrated… 00:50 30:44 31:08
The Unreasonable Effectiveness of Multiple Dispatch 01:05 35:00 35:23
Multi-threading in Julia with PARTR OK 25:07 25:46
How We Wrote a Textbook using Julia 00:30 30:50 31:19
Keynote: Professor Steven G. Johnson 01:26 52:19 52:29
Julia User and Developer Survey (2019) OK 19:55 20:11
Keynote: Professor Heather Miller 00:31 1:06:27 1:07:00
Differentiate All The Things! 00:52 24:13 24:43
Keynote: Professor Madeleine Udell 00:28 55:59 56:14
PackageCompiler 00:16 13:25 14:10
Debugging Code with JuliaInterpreter 01:36 31:58 32:17
MLJ - Machine Learning in Julia 01:19 33:36 33:57
Writing Maintainable Julia Code 00:53 30:57 31:32
A Showcase for Makie 00:09 28:30 28:59
Gen: A General-Purpose Probabilistic… 00:09 12:43 13:06
Opening Remarks 06:45 OK 20:06
Keynote: Arch D. Robison 04:28 49:05 49:27
Symbolic Manipulation in Julia 00:33 20:13 20:34

This was previously in thread Mistakes in the text on Julia YT channel, but since is getting quite long I decided to put it in separate discussion.

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Here are my propositions about editing 20 more talks from JuliaCon 2019.

Title of the talk Starts at Ends at Length of the video
Turing: Probabalistic Programming in Julia 00:34 31:01 31:23
Intelligent Tensors in Julia 04:03 30:30 30:42
Cleaning Messy Data with Julia and Gen 01:10 33:45 34:09
Keynote: Dr. Ted Rieger 02:18 49:53 50:22
Implementing State Machines Simply using… 00:25 11:20 11:46
A Probabilistic Programming Language… 00:35 12:11 12:44
Pkg, Project.toml… 02:31 31:43 32:04
Neural Ordinary Differential Equations… 00:32 13:58 14:28
Differentiable Rendering 00:49 12:03 12:26
If Runtime isn’t Funtime… 03:03 33:38 34:12
Analyzing and updating code… 00:59 21:22 21:42
Fitting Neural Ordinary Differential 01:59 29:04 29:28
Pyodide: The Scientific Python… 00:32 09:54 10:44
Interval methods for scientific 00:17 36:49 37:10
XLA.jl: Julia on TPUs 00:30 39:47 40:09
Geometric algebra in Julia with Grassmann.jl 00:20 13:27 13:50
Why writing C interfaces… 02:28 26:50 27:07
Julia + JavaScript = :heart: 01:12 31:05 31:27
Mining Imbalanced Big Data with Julia 00:28 11:43 12:27
Formatting Julia 00:56 17:37 18:06
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Here are my propositions about editing 20 more talks from JuliaCon 2019. I hope their are good enough.

Title of the talk Starts at Ends at Length of the video
TSML (Time Series Machine Learning) 00:15 09:33 10:01
Prototyping Visualizations… 00:47 06:50 06:59
Queryverse - Under the Hood… 00:45 34:35 35:04
Porting a Massively Parallel… 00:55 28:52 29:17
SemanticModels.jl 02:05 27:58 28:25
High-Performance Portfolio Risk Aggregation 00:36 13:12 13:34
Soss.jl… 03:51 24:29 25:02
The Climate Machine… 01:16 27:42 28:18
The Julia Language Ephemeris… 01:51 11:30 11:56
TimerOutputs.jl… 00:23 11:42 12:08
Modia3D: Modeling and Simulation… 00:09 11:15 11:35
A New Breed of Vehicle Simulation 00:28 24:38 25:03
Re-designing Optim 03:47 14:25 14:59
Keynote: Dr. Steven Lee 00:50 44:43 45:10
Gaussian Process Probabilistic… OK 27:32 28:12
Generating Documentation… 01:50 33:33 34:10
Static walks through… 00:34 23:52 24:16
Building a Debugger… OK 28:51 29:11
LightQuery.jl 00:31 27:32 28:03
Using Julia in Secure Environments 01:12 14:00 14:34
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Here is another portion of videos from JuliaCon 2019 with my propositions. In some bad cases you can have over a two minutes before proper talk starts.

Title of the talk Starts at Ends at Length of the video
Sponsor Address: Julia Computing 00:17 05:30 05:50
Polynomial and Moment… 01:50 1:57:33 1:58:15
Transducers… 00:52 29:25 29:59
Julia web servers deployment 00:45 09:46 10:17
Nonlinear Mixed Effects… 02:28 21:02 21:38
Smart House with JuliaBerry 00:42 10:35 11:02
Ultimate Datetime 02:04 12:36 12:57
FilePaths: File System Abstractions… 04:34 12:27 12:45
Differential Programming… 00:30 06:32 06:57
Electrifying Transportation… 00:21 08:53 09:26
Sponsor Address: J P Morgan Chase & Co. 00:15 12:45 13:10
Heterogeneous Agent DSGE… 01:02 31:12 31:41
Modeling in Julia… 00:51 14:16 14:51
Sponsor Address: Intel 01:29 05:22 05:34
SIMD and Cache-Aware Sorting… 06:44 18:45 19:08
Solving Delay Differential Equations 01:16 31:14 31:43
GigaSOM.jl… OK 11:50 12:13
Raising Diversity… 00:29 1:55:22 1:56:17
Merging Machine Learning… 02:07 10:52 11:18
Towards Faster Sorting… 00:31 11:03 11:42
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Another 20 talks from JuliaCon 2019. I know that my proposition may be bad, but at least their are starting point. Some videos definitely need re-cutting.

Title of the talk Starts at Ends at Length of the video
Machine Learning for Social Good 00:37 14:13 14:47
A General-Purpose… 01:47 09:25 10:48
Efficient Stiff ODE Solvers… 01:36 19:27 20:18
Recommendation.jl… 00:29 09:43 10:31
TrajectoryOptimization.jl… 01:06 10:52 11:06
Guaranteed Constrained 00:33 13:23 13:50
Probabilistic Biostatistics… 01:18 30:49 31:15
OmniSci.jl… 04:23 35:07 35:37
Targeting Accelerators… 01:05 11:01 11:42
Yao.jl… 05:05 34:10 34:31
MendelIHT.jl… 00:15 09:40 10:20
Brain Tumour Classification with Julia 00:24 08:43 09:15
Array Data Distribution… 01:09 11:33 11:58
Counting On Floating Point 00:19 06:52 07:20
Concolic Fuzzing… 00:18 08:30 08:58
“Online” Estimation… 01:01 29:40 30:06
DataKnots.jl… 00:37 29:32 29:56
Slow images, fast numbers… OK 11:06 11:31
The Linguistics of Puzzles 01:40 28:28 29:27
Generic Sparse Data Structures on GPUs 00:18 10:22 11:00
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With this portion we cover if not all, almost all videos from JuliaCon 2019. I probably missed few of them, but since when I wrote that I a bit tired, so errors are more probable to occur, and re-cutting already listed videos will be a lot of work, I will end here.

Maybe in few weeks I will go back to these problems.

Title of the talk Starts at Ends at Length of the video
Analyzing Social Networks… 00:40 11:08 11:34
Mimi.jl… 00:45 27:29 28:08
Computational topology… 00:13 11:37 12:34
Let’s Play Hanabi! 01:17 10:15 10:45
A case study of migrating… 00:48 12:50 13:27
IVIVC.jl… 00:44 06:23 07:04
Sponsor Address: Relational AI 00:33 02:50 03:16
Non-Gaussian State-Estimation… 00:17 11:08 11:47
Julia for Battery… 01:49 08:58 09:44
Implicit Geometry… 00:20 12:47 13:06
Randomized Sketching… 01:40 16:31 17:05
Open Source Power System… 00:52 28:00 28:26
JuliaCN… 00:18 09:33 10:13
HydroPowerModels.jl… 03:14 13:31 14:06
Sponsor Address: University of Maryland 03:05 08:45 09:20