Newsletter June 2021 - Complete the Julia User & Developer Survey Today!

Julia users and developers are invited to complete the annual Julia User & Developer Survey now. Click here to respond, make your voice heard and be counted as part of the Julia community. The survey is available in English, Chinese, Japanese and Spanish. Chinese users may also choose to respond via qq using this link. The survey is available now and you are encouraged to respond right away. The results of last year’s survey are available here.

Stack Overflow Developer Survey: The annual Stack Overflow Developer Survey is also open now. Click here to participate.

JuliaCon 2021 - Free and Online - July 28-30 - Register Today

1. Free Registration: JuliaCon 2021 will be free and online. Last year’s JuliaCon brought together 30,000 online participants from over 115 countries. Click here to register.

2. Sponsorship: JuliaCon is an excellent opportunity for sponsors to support and show their support for Julia. Platinum, gold and silver sponsorships are available. Current and recent JuliaCon sponsors include RelationalAI, Julia Computing, PumasAI, Conning, QuEra, KAUST, NumFOCUS, Amazon, Facebook, Google, Microsoft, Intel, Nvidia, JP Morgan, Capital One, BlackRock, Invenia, Gordon and Betty Moore Foundation, Juspay, Zapata, University of Maryland School of Pharmacy, Jeffrey Sarnoff, Alfred P. Sloan Foundation, Replit, Maven, Gambit, Tangent Works, Alan Turing Institute, EVN, Maven and Voxel8.

JuliaHub from Julia Computing: JuliaHub is the entry point for all things Julia: explore the ecosystem, build packages and deploy a supercomputer at the click of a button. JuliaHub also allows you to develop Julia applications interactively using a browser-based IDE or by using the Pluto notebook environment and then scale workloads to thousands of cores . Version 5 features a brand new user interface, reduced app startup latency, and many more usability enhancements. JuliaHub is the easiest way to start developing in Julia or share your work using dashboards and notebooks. A free JuliaHub tutorial from Dr. Matt Bauman (Julia Computing) is available on YouTube.

JuliaSim: JuliaSim is a next generation cloud-based modeling and simulation platform, combining the latest techniques from scientific machine learning with equation-based digital twin modeling and simulation. Dr. Chris Rackauckas presented Accelerating Simulation of Stiff Nonlinear Systems Using Continuous-Time Echo State Networks with JuliaSim. Click here for more information.

Pumas from Pumas-AI: Pumas is a healthcare analytics platform facilitating quantitative capabilities across the drug development cycle. It is designed from the ground up in Julia to allow users to scale, integrate and accelerate their quantitative scientific activities all under one umbrella. Pumas is a product of Pumas-AI and deployed through the JuliaHub platform from Julia Computing to leverage JuliaHub's ease of use and scalability. Julia Computing is a development partner and reseller of Pumas. Click here for more information.

Free Webinars from Julia Computing: Register today to participate in a free Julia Computing Webinar. Each free Webinar is one hour.

Converting from Proprietary Software to Julia: Are you looking to leverage Julia’s superior speed and ease of use, but limited due to legacy software and code? Julia Computing and our partners can help accelerate replacing your existing proprietary applications, improve performance, reduce development time, augment or replace existing systems and provide an extended trusted team to deliver Julia solutions. Leverage experienced resources from Julia Computing and our partners to get your team up and running quickly. For more information, please contact us.

Julia Computing Jobs: Julia Computing is looking to hire a Wireless Systems Research Engineer and a Cloud Engineer. For more information and to apply, please click here.

Julia 1.6 Addresses Latency Issues: LWN’s Lee Phillips reports that Julia version 1.6 “significantly reduces time to first plot” which was the number one technical complaint about Julia in last year’s Julia User & Developer Survey.

Julia Used for LIDAR Laser Systems: Researchers at the Leibniz Institute for Atmospheric Physics in Germany are using Julia to measure atmospheric temperature and wind speed. Dr. Josef Höffner explains: “We perform complex data acquisition and control, with 30 high speed signals, using three Spectrum Instrumentation cards, operating in closed loop operation 24/7. Our laser makes 500 pulses per second and we have to calculate, in real time, what has to happen next and adjust the controls. For that we have to get the result quickly. That means fast electronics, fast evaluation and then fast control of the hardware. We have found Julia offers a unique combination of speed and dynamic programming, simplifying the software development.”

Income Tax Analysis Using Julia: Hallison Paz (Programação Dinâmica) features in this YouTube video using Julia for income tax analysis.

Julia and Julia Computing in the News

• LWN: Julia 1.6 Addresses Latency Issues

• EENews Europe: Test Systems Add Julia Support for High Performance AI Analysis

• Finextra: Algorithms in the Financial Services industry - The Right Choice for the Right Problem

• Heise: Data Science: DataFrames.jl Ist Julias Antwort auf Pythons Pandas

• MIT News: Undergraduates Explore Practical Applications of Artificial Intelligence

• ELE Times: Spectrum Instrumentation Pioneers “Julia” SDK for High-Performance Applications

• The Cowboy Channel: Spectrum Instrumentation Pioneers "Julia" SDK for High-Performance Applications

• DataQuest: Meet Julia - Software Language for Faster Developments in AI, Medicine and Robotics

• Analytics India: Julia DataFrames 1.0 Released with an Improved Solution for Data Analysis

• Nature: Reactive, Reproducible, Collaborative - Computational Notebooks Evolve

• Analytics India: Basics Of Julia Programming Language For Data Scientists

• ZDNet: This Old Programming Language Is Suddenly Hot Again. But its Future Is Still Far from Certain

• EOS: A Tectonic Shift in Analytics and Computing Is Coming

• Analytics Insight: Meet Julia - the Programming Language of the Future

• I Programmer: Apache Arrow 4 Adds New C++ Compute Functions

Julia Blog Posts

• Go Does Not Need a Java Style GC (Erik Engheim)

• Julia GPU Programming with WSL2 (Fabian Becker)

• Learn With Me: Julia - Introduction (#1) (Fabian Becker)

• Learn With Me: Julia - Tools and Learning Resources (#2) (Fabian Becker)

• Learn With Me: Julia - Structs and Binary I/O (#3) (Fabian Becker)

• Learn With Me: Julia - Bitwise Operators (#4) (Fabian Becker)

• DataFrames.jl: Why Do We Have Both Subset and Filter Functions? (Bogumił Kamiński)

• The Hardest Part of DataFrames.jl Development Process (Bogumił Kamiński)

• A New Tutorial on DataFrames.jl (Bogumił Kamiński)

• Advanced Reshaping in DataFrames.jl (Bogumił Kamiński)

• DataFrames.jl Joins: matchmissing=:notequal (Bogumił Kamiński)

• Animations with Plots.jl (Josh Day)

• Performance Tips (Josh Day)

• Big CSVs (Josh Day)

• SciML Ecosystem Update: Improved QNDF Outperforms CVODE On SciMLBenchmarks

• Blurb: Forward Sample Exploration in Soss (Chad Scherrer)

• Reading Data from the Web with CSV.jl, DataFrames.jl and Chain.jl (Julius Krumbiegel)

• Julia Macros for Beginners (Julius Krumbiegel)

• Hello, World! I'm Dispatch (Miguel Raz Guzmán Macedo)

• Bringing Calcium to Julia (Fredrik Johansson)

• JuliaLang on M1 Chip – It Works! (Julia Frank)

Upcoming Julia Online Events

• Online Meetup: Bayesian Inference with Turing.jl with Stuttgart Julia Programming Language Meetup Jun 12

• Webinar: Machine Learning with Multi-GPU Training with Dr. Matt Bauman (Julia Computing) Jun 23

• Online Meetup: JuliaStats HypothesisTests.jl with Konstantinos Michailidis and Julia User Group Freiburg Jun 24

• Online Workshop: Introduction to Julia for Statistics and Data Science with Statistical Society of Australia, Victoria Branch Jul 8-9

• Webinar: Pluto Notebook Support on JuliaHub with Dr. Matt Bauman (Julia Computing) Jul 15

• Virtual Conference: JuliaCon 2021 Jul 28-30

• Virtual Conference: Population Approach Group Europe (PAGE) with Julia Computing Sep 2-7

• Virtual Conference: Modelica Conference with Julia Computing Sep 20-24

• Virtual Conference: American Conference on Pharmacometrics with Julia Computing and Pumas-AI Nov 8-12

Recent Julia Online Events

• Webinar: Parallel Computing for Enterprises in Julia with Dr. Alan Edelman (Julia Computing) May 20

• Virtual Conference: ARPA-E Energy Innovation Summit with Julia Computing May 24-27

• Webinar: CUDA.jl 3.0 Features: Concurrent and Parallel GPU Programming with Dr. Tim Besard (Julia Computing) May 25

• Webinar: Building Production Applications Using Julia with Avik Sengupta (Julia Computing) May 27

• Online Meetup: Flux.jl with Boulder Data Science, Machine Learning & AI Jun 10

Julia Jobs, Fellowships and Internships

There are hundreds of Julia jobs currently listed on Indeed.com and JuliaLang Discourse.

Julia Computing is looking to hire a Wireless Systems Research Engineer and a Cloud Engineer. For more information and to apply, please click here.

Liquid Analytics: Liquid Analytics is looking for Julia programmers:

• Senior Machine Learning Computer Scientist: Modeling Business Problems with Julia

• Senior Polyglot Software Engineer: Build Complex Machine Learning and Graph Systems with Julia

• Software Engineer - Automation: Build Web Services, Applications and Microservices with Julia

• Computational and Applied Mathematician: Probabilistic and Differential Programming with Julia

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 products such as JuliaHub, JuliaSim 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 for businesses and researchers using Julia.