Julia Used to Infer that Victoria (Australia) is COVID-Free: Michael Stumpf (University of Melbourne) uses Julia to infer that Victoria (Australia) is free of COVID-19.
Google Introduces New Version of TPU Stack: At JuliaCon 2019, Julia Computing Co-Founder Keno Fischer identified a major pain point facing TPU users. This year, Google announced a new version of the TPU stack that eliminates this issue and makes using TPUs easier.
GeoStats.jl Survey: The GeoStats.jl community is conducting a short 6 question survey to better understand GeoStats.jl users. Please click here to participate.
Stipple for Julia App Development: Stipple is a new tool to help you develop, deploy and scale Julia applications. Beta registration is open now.
Slowing the Spread of COVID-19: MIT researchers Raj Dandekar, Chris Rackauckas, Emma Wang and George Barbastathis developed a model designed to help slow and stop the spread of COVID-19. More information is available here.
Julia and Julia Computing in the News
Synced: 2020 in Review with Viral B. Shah
EETimes: Meet the Man Bridging Data Science & Big Data Systems
Tech Target: How to Structure and Manage a Data Science Team
ReadWrite: Top 10 Programming Languages to Become an AI Developer
VentureBeat: 9 Trends in Enterprise Database Technology
MIT News: Slowing the Spread of Covid-19
Tech Republic: Python Named TIOBE's 2020 Top Programming Language, But C Tops the January Index
Extreme Tech: Beyond Zoom: Virtual Gathering Spaces for the Holidays and Beyond
ZDNet: Programming Languages: Python Rules While Java Dips
SD Times: Python Named TIOBE’s Programming Language of 2020
Dev Class: Fourth Time’s the Charm: TIOBE Declares Python Programming Language of 2020
I-Programmer: Season Of Docs 2020 - A Success Story
Julia Blog Posts
Dissecting RANDU (Bogumił Kamiński)
DataFrames.jl Minilanguage Explained (Bogumił Kamiński)
Is Case_When Needed in DataFrames.jl? (Bogumił Kamiński)
Binning Your Data with Julia (Bogumił Kamiński)
DataFrames 0.22 @ JuliaAcademy (Bogumił Kamiński)
Sets, Chains and Rules - Part I (Mathieu Besançon)
Sets, Chains and Rules - Part II (Mathieu Besançon)
Experiments on Communicating Vessels, Constrained Optimization and Manifolds (Mathieu Besançon)
Julia, Julia, Julia (Matt Roughan)
CFD Tutorial in Julia (Emad Masroor)
Constraint Solver: Priority Queue (Ole Kröger)
E-Graph Pattern Matching (Part II) (Philip Zucker)
Advent of Code 2020 Retrospective (Dheepak Krishnamurthy)
Upcoming Julia Online Events
Online Meetup: C-Sets for Data Analysis: Relational Data and Conjunctive Queries in Julia with Category Theory and Applications Jan 20
Webinar: Pumas-NLME - Integrated, Efficient, and Scalable Pharmacometric Workflows with Dr. Vijay Ivaturi (Pumas-AI) Mar 5
Online Training: Introduction to Machine Learning and Artificial Intelligence Using Julia with Dr. Matt Bauman (Julia Computing) Mar 11-12
Virtual Conference: JuliaCon 2021 Jul 28-30
Recent Julia Online Events
Online Meetup: Getting Involved with Julia Org the Open Source Way with Logan Kilpatrick, Kunal Kushnawa and Code for Cause Jan 8
Julia Jobs, Fellowships and Internships There are hundreds of Julia jobs currently listed on Indeed.com and JuliaLang Discourse. 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 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.