Media Summary: The Unreasonable Effectiveness of Multiple Dispatch Presented by www.pydata.org PyData is a gathering of users and developers of data analysis tools in Before actually doing computation on data, one needs to clean up a messy data set, which almost always involves some kind of ...

Stefan Karpinski Julia Python - Detailed Analysis & Overview

The Unreasonable Effectiveness of Multiple Dispatch Presented by www.pydata.org PyData is a gathering of users and developers of data analysis tools in Before actually doing computation on data, one needs to clean up a messy data set, which almost always involves some kind of ... There are lots of programming languages, what's different about Code Mesh London is the best place in Europe for non-mainstream tech and programming languages. On 4-5 December 2013 ... Link to the Poll!: ~~ Tell us who you want to hear from, if you'd want to be on the show, ...

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Stefan Karpinski - Julia + Python = ♥
JuMP-dev 2019 | Stefan Karpinski | The Unreasonable Effectiveness of Multiple Dispatch
Stefan Karpinski (Keynote): Julia for Data Analysis and Beyond
Ask us anything: Jeff Bezanson and Stefan Karpinski
What's New and Exciting in Julia - Stefan Karpinski
Stefan Karpinski - Solving the "Two Language" Problem in Data Science
What is Different About the Julia Programming Language? | Stefan Karpinski | JuliaHEP 2023
The Unreasonable Effectiveness of Multiple Dispatch | Stefan Karpinski | JuliaCon 2019
Julia 1.0 | Stefan Karpinski | JuliaCon 2016
Stefan Karpinski - Julia: Fast Performance, Distributed Computing & Multiple Dispatch
Workshop: Avik Sengupta - Julia and the world - How to work with C/C++/Java/Python/Ruby from Julia
Metaprogramming and Macros in Julia | Stefan Karpinski | Jeff Bezanson
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Stefan Karpinski - Julia + Python = ♥

Stefan Karpinski - Julia + Python = ♥

PyData NYC 2014

JuMP-dev 2019 | Stefan Karpinski | The Unreasonable Effectiveness of Multiple Dispatch

JuMP-dev 2019 | Stefan Karpinski | The Unreasonable Effectiveness of Multiple Dispatch

The Unreasonable Effectiveness of Multiple Dispatch Presented by

Stefan Karpinski (Keynote): Julia for Data Analysis and Beyond

Stefan Karpinski (Keynote): Julia for Data Analysis and Beyond

www.pydata.org PyData is a gathering of users and developers of data analysis tools in

Ask us anything: Jeff Bezanson and Stefan Karpinski

Ask us anything: Jeff Bezanson and Stefan Karpinski

Ask

What's New and Exciting in Julia - Stefan Karpinski

What's New and Exciting in Julia - Stefan Karpinski

Slides and more info: http://www.codemesh.io/codemesh2015/

Stefan Karpinski - Solving the "Two Language" Problem in Data Science

Stefan Karpinski - Solving the "Two Language" Problem in Data Science

Before actually doing computation on data, one needs to clean up a messy data set, which almost always involves some kind of ...

What is Different About the Julia Programming Language? | Stefan Karpinski | JuliaHEP 2023

What is Different About the Julia Programming Language? | Stefan Karpinski | JuliaHEP 2023

There are lots of programming languages, what's different about

The Unreasonable Effectiveness of Multiple Dispatch | Stefan Karpinski | JuliaCon 2019

The Unreasonable Effectiveness of Multiple Dispatch | Stefan Karpinski | JuliaCon 2019

If you're familiar with

Julia 1.0 | Stefan Karpinski | JuliaCon 2016

Julia 1.0 | Stefan Karpinski | JuliaCon 2016

Visit http://julialang.org/ to download

Stefan Karpinski - Julia: Fast Performance, Distributed Computing & Multiple Dispatch

Stefan Karpinski - Julia: Fast Performance, Distributed Computing & Multiple Dispatch

Code Mesh London is the best place in Europe for non-mainstream tech and programming languages. On 4-5 December 2013 ...

Workshop: Avik Sengupta - Julia and the world - How to work with C/C++/Java/Python/Ruby from Julia

Workshop: Avik Sengupta - Julia and the world - How to work with C/C++/Java/Python/Ruby from Julia

Visit http://julialang.org/ to download

Metaprogramming and Macros in Julia | Stefan Karpinski | Jeff Bezanson

Metaprogramming and Macros in Julia | Stefan Karpinski | Jeff Bezanson

Abstract:

Julia Roadmap | Stefan Karpinski | JuliaCon 2017

Julia Roadmap | Stefan Karpinski | JuliaCon 2017

Visit http://julialang.org/ to download

JuliaCon: The Podcast #4: "Where's Huda?" - Jeff Bezanson, Stefan Karpinski, Tim Holy

JuliaCon: The Podcast #4: "Where's Huda?" - Jeff Bezanson, Stefan Karpinski, Tim Holy

Link to the Poll!: https://forms.gle/sdNGk84j3J1WB1or9 ~~ Tell us who you want to hear from, if you'd want to be on the show, ...

John Pearson | Introduction to Julia for Pythonistas

John Pearson | Introduction to Julia for Pythonistas

PyData Carolinas 2016 Many

State of Julia | Jeff Bezanson & Stefan Karpinski | JuliaCon 2020

State of Julia | Jeff Bezanson & Stefan Karpinski | JuliaCon 2020

Abstract: We take stock of

Rationale Behind Julia and the Vision | Jeff Bezanson, Stefan Karpinski | Julia Tutorial MIT 2013

Rationale Behind Julia and the Vision | Jeff Bezanson, Stefan Karpinski | Julia Tutorial MIT 2013

The rationale and vision behind

Pkg3: Julia's New Package Manager | Stefan Karpinski | JuliaCon 2017

Pkg3: Julia's New Package Manager | Stefan Karpinski | JuliaCon 2017

Visit http://julialang.org/ to download

JuliaCon 2017 | Julia Roadmap | Stefan Karpinski

JuliaCon 2017 | Julia Roadmap | Stefan Karpinski

Visit http://julialang.org/ to download

David Beach: Introducing Julia into a Python/C++ Scientific Computing environment

David Beach: Introducing Julia into a Python/C++ Scientific Computing environment

Visit http://julialang.org/ to download