Stripe CEO Patrick Collison – ‘Pluto for @JuliaLanguage Is Pretty Cool’: Stripe CEO Patrick Colliison tweeted that ‘Pluto for @JuliaLanguage is pretty cool’, and shared a link and favorable review of Grant Sanderson’s latest MIT lecture.
JuliaGPU: Julia GPU capabilities continue to expand. Visit JuliaGPU for more information.
Grant Sanderson (3Blue1Brown) MIT Course with Alan Edelman, David Sanders, James Schloss and Benoit Forget Reaches 260k+ YouTube Views: Viewership for MIT’s Introduction to Computational Thinking course continues to grow. All lectures are available for free on YouTube.
Julia for Quantitative Systems Pharmacology (QSP): Julia Computing Director of Applications Engineering Matt Bauman presented a free Webinar on Quantitative Systems Pharmacology Using Julia. Click here to watch.
JuliaHub: JuliaHub from Julia Computing includes effortless parallel computing in the cloud plus package management. For more information, watch the free Webinar on JuliaHub: Single-Click Scaling and Cluster Deployment in the Cloud. Or join Dr. Matt Bauman’s next free Webinar introducing High Performance Computation (HPC) on JuliaHub.
Julia Videos and Podcasts
Data Exchange Podcast: Evolution and Maturation of Julia (Viral Shah)
JazzComputing: Julia Computing, ML Dev Productivity & Similarities & Differences Between ML & HPC (Viral Shah)
American Modelica Conference: Accelerating Modeling and Simulation with Julia (Viral Shah)
Groxio with Bruce Tate: Julia Language and Why We Love It with Viral Shah (Julia Adoption), Jeff Bezanson, Stefan Karpisnki (Multiple Dispatch) and Huda Nasser (Speed, Graphs and Data, Things Just Work in Julia)
Software Freedom Day 2020: Julia and the Future of Machine Learning – Differentiable Programming (Dhairya Gandhi)
JuliaMono Font: Cormullion has created a new monospaced font for Julia and other text editing environments that require a wide range of specialist and technical Unicode carriers. The new font is:
Suitable for scientific and technical programming as well as for general purpose hacking
Available for MacOS, Unix, and Windows
Easy to use, simple, friendly, and approachable
Distributed with a liberal licence
New Julia Speed Results – 334x Faster than Python for Color Science: Porting color science code from Python to Julia resulted in a 334x speed increase.
The Little Book of Julia Algorithms: Ahan Sengupta and William Lau have published The Little Book of Julia Algorithms, targeted at middle and high school programmers.
Using Time Travel to Remotely Debug Faulty DRAM: Julia Computing CTO (Tools) and co-founder Keno Fischer explains how he used time travel to remotely debug faulty DRAM.
Julia Computing Live Instructor-Led Training Courses: Register today for upcoming Julia training courses from Julia Computing.
|Event||Event Type||Presenter||Length of Presentation||Dates||Time||Registration Link||Cost|
|Intro to Julia||Live Training Course||Dr. Matt Bauman, Julia Computing Director of Applications Engineering||8 hours (4 hours per day x 2 days)||Thurs Oct 15 and Fri Oct 16||11 am – 3 pm Eastern (US)||Register||\$250|
|Introduction to Machine Learning and Artificial Intelligence Using Julia||Live Training Course||Dr. Matt Bauman, Julia Computing Director of Applications Engineering||8 hours (4 hours per day x 2 days)||Thurs Oct 22 and Fri Oct 23||11 am – 3 pm Eastern (US)||Register||\$500|
|Parallel Computing in Julia||Live Training Course||Dr. Matt Bauman, Julia Computing Director of Applications Engineering||8 hours (4 hours per day x 2 days)||Thurs Oct 29 and Fri Oct 30||11 am – 3 pm Eastern (US)||Register||\$500|
|Event||Presenter||Length of Presentation||Date||Time||Registration Link||Cost|
|High Performance Computation (HPC) on JuliaHub||Dr. Matt Bauman, Julia Computing Director of Applications Engineering||1 hour||Tues Oct 13||12 noon – 1 pm Eastern (US)||Register||Free|
|Parallel Computing for Enterprises in Julia||Prof. Alan Edelman, Julia Computing Chief Scientist and Co-Founder, Julia Co-Creator and MIT Julia Lab Director||1 hour||Fri Oct 23||12 noon – 1 pm Eastern (US)||Register||Free|
|Building Production Applications Using Julia||Avik Sengupta, Julia Computing VP Engineering||1 hour||Thurs Nov 19||12 noon – 1 pm Eastern (US)||Register||Free|
|Quantitative Systems Pharmacology Using Pumas||Dr. Matt Bauman, Julia Computing Director of Applications Engineering||1 hour||Fri Dec 4||12 noon – 1 pm Eastern (US)||Register||Free|
|High Performance Computation (HPC) on JuliaHub||Dr. Matt Bauman, Julia Computing Director of Applications Engineering||1 hour||Tues Dec 8||12 noon – 1 pm Eastern (US)||Register||Free|
|Financial Modeling on Large, Streaming Datasets||Dr. Josh Day, Julia Computing||1 hour||Thurs Dec 10||12 noon – 1 pm Eastern (US)||Register||Free|
Julia Computing Enterprise Products
JuliaHub: JuliaHub from Julia Computing provides a seamless experience for Julia users to manage their packages, find documentation, make open source contributions and run large compute-intensive workloads. Click here for more information.
JuliaRun: JuliaRun from Julia Computing helps you scale and deploy Julia using high performance computing (HPC) resources, including large parallel simulations and analyses in the cloud: AWS, Microsoft Azure or Google Cloud. Click here for more information.
JuliaSure: JuliaSure from Julia Computing provides full service development support, production support and indemnification for companies using Julia. Subscriptions are USD $99 per month. Click here to subscribe.
JuliaTeam: JuliaTeam from Julia Computing lets your entire enterprise work together using Julia. Collaborate, develop and manage private and public packages across your organization, manage open source licenses and benefit from continuous integration, deployment, security, indemnity and enterprise governance. Click here for more information.
Pumas: Pumas from Julia Computing and Pumas.ai is a comprehensive platform for pharmaceutical modeling and simulation, providing a single tool for the entire drug development pipeline. Click here for more information.
Julia and Julia Computing in the News
TechRepublic: Top 5 Programming Languages for Data Scientists to Learn
Analytics India: Top Technologies To Achieve Security And Privacy Of Sensitive Data In AI Models
MIT News: MIT-Led Team to Develop Software to Help Forecast Space Storms
Analytics India: What Is Code Golfing?
HPCWire: Oracle Cloud Deepens HPC Embrace with Launch of A100 Instances, Plans for Arm, More
SciTechDaily: Predicting When the Sky Will Bleed – MIT-Led Team to Develop Software to Help Forecast Space Storms
Analytics Insight: 4 Tips to Secure a Data Scientist Job at Google
Analytics Insight: The Top 50 Programming Languages to Learn Coding
Heise: Data Science – Mozilla Stellt Webbasiertes Tool Lodide Ein
Julia Blog Posts
Javis v0.2 and the Future (Ole Kröger)
Javis.jl with Animations.jl (Ole Kröger)
Flexible Performant GEMM Kernels on GPUs (Thomas Faingnaert, Tim Besard, Bjorn De Sutter)
Notes on Synthesis and Equation Proving for Catlab.jl (Philip Zucker)
DataFrames.jl vs Pandas, dplyr, and Stata (Bogumił Kamiński)
Row Aggregation in DataFrames.jl (Bogumił Kamiński)
Pseudo Broadcasting in DataFrames.jl (Bogumił Kamiński)
State Space Models Everywhere! Round 1: HSMM (Patrick Aschermayr)
Using Time Travel to Remotely Debug Faulty DRAM (Keno Fischer)
My First Encounter with Julia (Ritobrata Ghosh)
GSoC 2020: ZXCalculus.jl, ZX-Calculus in Julia (Chen Zhao)
On the Performance and Design of BioSequences Compared to the Seq Language (Jakob Nybo Nissen, Ben J. Ward)
First Impressions of Julia from an R User (David Neuzerling)
Graphs and C-sets I: What Is a Graph? (Evan Patterson)
Graphs and C-sets II: Half-Edges and Rotation Systems (Evan Patterson)
On the Implementation of C-sets (Owen Lynch)
Modeling Frameworks: What Is a Scientific Model? (James Fairbanks)
CUDA.jl 2.0 (Tim Besard)
Julia Base Is DataFrames.jl Best Friend (Bogumił Kamiński)
Bayesian Inference in State Space Models – Part 1 (Patrick Aschermayr)
Upcoming Julia Online Events
Online Training: Introduction to Machine Learning and Artificial Intelligence Using Julia with Matt Bauman (Julia Computing) October 22-23
Online Meetup: R Coffee Break – Vorstellung von Julia (Programmiersprache) with Wiesbaden R User Group November 25
Online Meetup: Workshop – Ein Machine Learning Task in drei Sprachen: R, Python, Julia with Wiesbaden R User Group December 1
Recent Julia Online Events
Webinar: Quantitative Systems Pharmacology Using Julia with Matt Bauman September 24
Julia Jobs, Fellowships and Internships
Do you work at or know of an organization looking to hire Julia programmers as staff, research fellows or interns? Would your employer be interested in hiring interns to work on open source packages that are useful to their business? Help us connect members of our community to great opportunities by sending us an email, and we’ll get the word out.
Contact Us: Please contact us if you wish to:
Purchase or obtain license information for Julia Computing products such as JuliaHub, JuliaSure, JuliaTeam, JuliaRun or Pumas
Obtain pricing for Julia consulting projects for your organization
Schedule online Julia training for your organization
Share information about exciting new Julia case studies or use cases
Spread the word about an upcoming online event involving Julia
Partner with Julia Computing to organize a Julia event online
Submit a Julia internship, fellowship or job posting
About Julia and Julia Computing
Julia is the fastest high performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded by users at more than 10,000 companies and is used at more than 1,500 universities. Julia co-creators are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world.
Julia Computing was founded in 2015 by all the creators of Julia to develop products and provide professional services to businesses and researchers using Julia.