Newsletter June 2020 - Pfizer Uses Julia to Increase Speed Up to 175x for Drug Development

Pfizer Uses Julia to Increase Speed Up to 175x for Drug Development: Pfizer uses Julia to accelerate simulations of new therapies for metabolic diseases up to 175x. More information is available here.

JuliaCon 2020 Goes Online - Register for Free Now to Reserve Your Spot: Due to the COVID-19 global pandemic, JuliaCon 2020 has moved online. Please click here to reserve your spot for July 29-31 and for more information. Julia Computing staff will be available online via email and Slack during the conference to answer questions.

2020 Julia User & Developer Survey: The second annual Julia User & Developer Survey is open now. The survey is available in four languages: English, Chinese, Japanese and Spanish. Please click here to respond and please forward the link to friends and colleagues who use Julia. Results will be presented during JuliaCon.

JuliaTeam v2.0 Now Available: JuliaTeam v2.0 is now available. JuliaTeam provides enterprises using Julia with governance and private package management. New features in JuliaTeam v2.0 include:

1. New dashboard page with information about new packages, recently updated packages, popular packages and popular tags

2. Improved search and license detection

3. New details page for individual packages with rich description including usage, dependencies, reverse dependencies, contributors and documentation

4. Simpler registration workflow for Gitlab registries

5. Dark mode UI

6. JuliaRun: Multithreading support, job comparison, output handling and UI improvements

7. JuliaRun: Use unregistered packages for jobs

New Free Julia Courses on JuliaAcademy: New Julia courses available for free through JuliaAcademy include Julia for Data Science (Dr. Huda Nassar) and Introduction to DataFrames.jl (Dr. Bogumił Kamiński). Other free Julia courses available through Julia Academy include Introduction to Julia (Dr. Jane Herriman), Foundations of Machine Learning (Dr. Chris Rackauckas), Deep Learning with Flux.jl (Dr. Matt Bauman), Parallel Computing (Dr. Matt Bauman) and the World of Machine Learning with Knet (Dr. Deniz Yuret).

Julia Is Used to Project Hospital Utilization During COVID-19: A new paper published in the Proceedings of the National Academy of Sciences uses Julia to project hospital utilization during COVID-19. The paper is available here and the code is available on GitHub.

Julia for Machine Learning Book Published - Discount Code Available: Dr. Zacharias Voulgaris has published Julia for Machine Learning which joins his earlier volume Julia for Data Science. Both books are available for purchase in PDF, print or ebook. The print and PDF versions are available with a 25% discount using the code JuliaJune.

Stack Overflow 2020 Developer Survey: Stack Overflow has published their 10th annual developer survey of more than 66,000 developers. Julia ranked sixth at 62.2% on the list of languages that developers are currently using and would like to continue using.

Graph Processing Benchmarks: Timothy Lin has published new benchmarks of LightGraphs.jl vs. Igraph, Graph-tool, SNAP and NetworKit. More information is available here.

UMB Grants Pumas-AI Exclusive License for Lyv: University of Maryland, Baltimore (UMB) has granted exclusive license for Lyv, a dosing app built in Julia, to Pumas-AI. Pumas-AI is a pharmacology and pharmacometrics startup created by Julia Computing and UMB Professors Vijay Ivaturi and Joga Gobburu. Lyv uses patient data to provide personalized and continuously optimized dosing recommendations for pharmaceutical treatment.

Context Free Interviews Julia Co-Creators and Julia Computing Co-Founders Viral Shah and Jeff Bezanson: Context Free interviewed Viral Shah and Jeff Bezanson about Julia. You can watch the full interview here.

Julia Event Calendars: For the latest information about upcoming online events, please visit the Julia Computing Calendar of Events and the Julia Language Calendar of Events.

Julia Computing Enterprise Products

• 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.

• 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.

• Pumas: Pumas from Julia Computing is a comprehensive platform for pharmaceutical modeling and simulation, providing a single tool for the entire drug development pipeline. Click here for more information.

Upcoming Julia Computing Online Trainings, Microtrainings and Webinars: Julia Computing provides a number of online Trainings, Microtrainings and Webinars. All are conducted by advanced Julia Computing instructors. Click the links below to register.

Julia and Julia Computing in the News

• Entwickler: Julia Ist Bei Einfachen Machine-Learning-Aufgaben mit Python Vergleichbar, Aber Besser Geeignet für Komplexere

• JAXenter: Julia Is Comparable to Python for Simple Machine Learning Tasks and Better for Complex Ones

• Analytics India: How Differentiable Programming Helps in Complex Computational Models

• TechCentral: Julia vs. Python - Which Is Best for Data Science?

• HPCWire: Julia Researchers Create Verifiable Neural Net in Julia for COVID-19 Epidemiology

• Analytics India: Top 9 Machine Learning Frameworks in Julia

• Analytics India: Top 10 Speakers at Plugin 2020

• Analytics Insight: Decoding the Popularity of Jupyter Among Data Scientists

• Analytics Insight: Top 10 Data Science Experts to Follow on Twitter

• ZDNet: Programming Languages: Developers Reveal What They Love and Loathe, and What Pays Best

• Towards Data Science: Bye-Bye Python. Hello Julia!

• UMB: UMB Grants Pumas-AI Exclusive License for Lyv, a Cutting-Edge Clinical Decision Support System

• Proceedings of the National Academy of Sciences: Projecting Hospital Utilization During the COVID-19 Outbreaks in the United States

• Analytics India: AIM’s Virtual Conference - Plugin Day 2 Highlights

• Business Insider: The 14 Most Loved Programming Languages, According to a Study of 65,000 Developers

Julia Blog Posts

• Benchmark of Popular Graph/Network Packages v2 (Timothy Lin)

• Tutorials for DataFrames.jl Release 0.21. Part I (Bogumił Kamiński)

• Building a VCR Clone in 28 Lines of Julia (Chris de Graaf)

• Random-Based Indexing for Arrays (Mosè Giordano)

• My Practices for Managing Project Dependencies in Julia (Bogumił Kamiński)

• Understanding Package Version Restrictions in Julia (Bogumił Kamiński)

• Activating Project Environment in Julia REPL Automatically (Bogumił Kamiński)

• ConstraintSolver.jl - Bugs and Benchmarks (Ole Kröger)

• SciML Ecosystem Update: Automated Model Discovery with DataDrivenDiffEq.jl and ReservoirComputing.jl

• Experiments on Communicating Vessels, Constrained Optimization and Manifolds (Mathieu Besançon)

• FluxArchitectures: TPA-LSTM (Sören Dobberschütz)

Upcoming Julia Online Events

• Online Training: Introduction to Julia with Julia Computing June 10-11

• Webinar: Bullish on Fast Code? Julia for Finance with Dr. Matt Bauman (Julia Computing) June 12

• Online Training: Introduction to Machine Learning and Artificial Intelligence in Julia with Julia Computing June 17-18

• Microtraining: How to Build a Model Using Flux and Productionize It with Dhairya Gandhi (Julia Computing) June 19

• Online Training: Parallel Computing in Julia with Julia Computing June 24-25

• Webinar: Pharmacology and Pharmacometrics with Dr. Vijay Ivaturi (University of Maryland, Baltimore School of Pharmacy Center for Translational Medicine, Pumas-AI) June 30

• Virtual Conference: World Artificial Intelligence Conference with Dr. Viral Shah (Julia Computing) July 8-11

• Virtual Conference: JuliaCon 2020 with Julia Computing July 27-31

Recent Julia Online Events

• Webinar: Julia with Kubernetes for Enterprise Scaling with Tanmay Mohapatra (Julia Computing) May 8

• Webinar: GPU Programming in Julia with Dr. Tim Besard (Julia Computing) May 14

• Virtual Meetup: Pre-Memorial Day Kickoff of Julia5280 (A Julia Programming Language Virtual Meetup) with Michael Mallari and Julia5280 May 21

• Online Microtraining: Machine Learning Workflow on JuliaRun with Deepak Suresh (Julia Computing) May 26

• Virtual Conference: Plugin AI with Dr. Viral Shah (Julia Computing) May 28-29

• Online Microtraining: BinaryBuilder - Building Binaries for Your Julia Packages for Fun and Profit with Dr. Elliot Saba (Julia Computing) May 29

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.

There are hundreds of Julia jobs currently listed on Indeed.com. Click here to apply.

Contact Us: Please contact us if you wish to:

• Purchase or obtain license information for Julia Computing products such as 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 more than 15 million times 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.