new in datastreams.jl: type flexibility, querying, and parallelism | jacob quinn | juliacon 2018
Published Streamed 5 years ago • 877 plays • Length 11:55Download video MP4
Download video MP3
Similar videos
-
9:10
http.jl progressing library for all your julia web needs | jacob quinn | juliacon 2018
-
21:15
the turing language for probabilistic programming | hong ge | juliacon 2018
-
28:58
datastreams.jl: workflows for data processing tasks | jacob quinn | juliacon 2016
-
11:55
datastreams: roadmap for data i/o in julia | jacob quinn | juliacon 2017
-
25:27
ingesting larger data in julia: evolution of json | jacob quinn | juliacon 2023
-
18:55
juliacon 2020 | auto-optimization and parallelism in differentialequations.jl | chris rackauckas
-
13:47
linearsolve.jl: because a\b is not good enough | chris rackauckas | juliacon 2022
-
38:32
julia: workflow tips, and what is new in v1.9 | 2nd digiwell julia seminar 2023
-
3:06:39
get started with julia programming | full course
-
10:31
state of the data: juliadata | jacob quinn | juliacon 2019
-
12:09
timeroutputs.jl: a cheap and cheerful instrumenting profiler | kristoffer carlsson | juliacon 2019
-
10:51
fast and efficient multicore processing over the cloud with julia | tuomas eerola | juliacon 2018
-
13:12
learnings from scaling julia up to process petabytes in production | quinn | juliacon 2018
-
12:00
nulls.jl: missingness for data in julia | jacob quinn | juliacon 2017
-
25:03
soss.jl: probabilistic metaprogramming in julia | chad scherrer | juliacon 2019
-
8:21
juliacon 2020 | mpi.jl: julia meets classic hpc | simon byrne
-
29:30
julia for space science: an antidote for complexity | helge eichhorn | juliacon 2018
-
21:43
analyzing and updating code with juliainterpreter.jl and revise.jl | tim holy | juliacon 2019
-
41:14
10 tips on how to build better binaries | elliot saba | juliacon 2018
-
7:38
overview of the new juliabox | nishanth kottary | juliacon 2016
-
23:50
a deep dive into makielayout | julius krumbiegel | juliacon 2021