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Julia in the News

Julia is a popular language for machine learning thanks to simplicity. Developers can accomplish more in Julia with fewer lines of code, Bakshi said, and write an app entirely in that language -- no need to write components in C, for example.

Tanmay Bakshi Talks Programming with Julia and Swift

30 MAR 2020 | David Carty | Tech Target

Caltechs’ Climate Modeling Alliance recently announced that Julia would be the language for the next round of its multimillion dollar climate model.

Energy Efficiency Is a Core Target for Machine Learning

20 JAN 2020 | Michael Barnard | CleanTechnica

[One] of the distinct features of Julia is the parametric polymorphism, which is dynamic and can facilitate multiple dispatches. Hence, it is an AI programming language that collects garbage, evaluates, and dynamic libraries are included to float calculations, linear algebra, number generation, and express matching.

Top 10 Artificial Intelligence Programming Languages You Must Learn in 2020

18 DEC 2019 | Kenneth | Robots.net

Applied mathematics Professor Alan Edelman has been selected to receive the 2019 IEEE Computer Society Sidney Fernbach Award. Edelman was cited “for outstanding breakthroughs in high performance computing, linear algebra, and computational science and for contributions to the Julia programming language.”

Alan Edelman Recognized with 2019 IEEE Computer Society Sidney Fernbach Award

24 MAR 2020 | Sandi Miller | MIT News

Julia continues to bring novel technologies to computational scientists. One of its most exciting new capabilities is differentiable programming (∂P).

Scientific Machine Learning: How Julia Employs Differentiable Programming to Do It Best

1 OCT 2019 | Jeff Bezanson, Alan Edelman, Stefan Karpinski, and Viral B. Shah | SIAM News

Pumas is a copyrighted, comprehensive platform based on the Julia programming language that contains multiple modules designed to meet the needs of analysts in the pharmaceutical industry, while also working to advance therapeutic innovation in the clinic setting.

UMB Startup Releases Cutting-Edge Software Platform for Pharmaceutical Researchers

9 AUG 2019 | | News Medical

[Julia] supports parallelism out of the box, offering three main levels of parallelism which are categorized as Julia coroutines (green threading), multi-threading (currently experimental), and multi-core or distributed processing.

What Is All this Buzz about the Julia Programming Language?

7 AUG 2019 | | Zylotech

Researchers often find themselves coding algorithms in one programming language, only to have to rewrite them in a faster one. An up-and-coming language could be the answer.

Julia: Come for the Syntax, Stay for the Speed

30 JULY 2019 | Jeffrey M. Perkel | Nature

[Julia] provides an early glimpse into what programming languages might look like in the not too distant future.

Man Creates One Programming Language to Rule Them All

03 FEB 2014 | Klint Finley | WIRED

From guiding self-driving vehicles to analyzing images from deep space, US and Bengaluru-based Julia Computing has developed a unique programming language.

Julia Computing: Why Amazon, Disney and Uber Are Courting this Two Year Old Startup

22 AUG 2017 | Anu Thomas | Economic Times

Data hackers get giddy when talking about [Julia’s] potential to oust R and Python from their thrones. Julia is a high-level, insanely fast and expressive language. It’s faster than R and potentially even more scaleable than Python, and fairly easy to learn.

The 9 Best Languages For Crunching Data

14 MAY 2014 | Anna Nicolaou | FAST COMPANY

HPC is still committed to its lower level tools and that will remain the case with domain scientists dabbling in Python until it fails to scale. This seems to clear the way for either Julia or Chapel.

Will Chapel Mark Next Great Awakening for Parallel Programmers?

10 APR 2018 | Nicole Hemsoth | The Next Platform

Rajshekar Behar, marketing leader at Julia Computing– a rapidly rising startup specializing in AI solutions– says: I believe we keep mixing HPC with AI. AI is an application that needs high performance computing. When you start solving a problem, you reach a point where you want to delegate the decision making to a system, because you think it's going to take better decisions. And that's when you implement AI with HPC, he explains.

The Thin Line Between High Performance Computing and AI

06 APR 2018 | Soumik Ghosh | CIO.com

I do think that, at a business level, as well as at a national level, we have a lot of catching up to do... says Viral Shah, co-founder of Julia Computing. He adds that Indian firms today have a lot of data but the skill in asking questions on what can be done with data for effectively building AI models is missing.

India’s Tryst with Data and AI: How its Tech is Going Global

11 APR 2018 | Vishal Krishna & Sampath Putrevu | YourStory

Apache Zeppelin joins a growing list of data science notebooks that include Databricks Cloiud, Jupyter (the successor to the iPython Notebook), R Markdown, Spark Notebook and others. Backends to multiple languages include Python, Julia, Scala, SQL and others.

Apache Zeppelin Launches Latest Data Science Notebook

01 MAR 2018 | Staff Report | Datanami

Julia is poised to become one of the leading tools deployed by developers and programmers at banks, hedge funds, regulators and vendors.

The Infancy of Julia: An Inside Look at How Traders and Economists Are Using the Julia Programming Language

Nov 2016 | Anthony Malakian | WatersTechnology

Julia Computing was selected as one of five startups to present to Jeff Immelt, then CEO of GE. … Nandan helped us make it strategic – how can a company like GE benefit from open source technology and approach? That really resonated with them.

Nandan Nilekani Helped Us Get the Right Message Out

01 AUG 2017 | J Vignesh | Economic Times

Julia Computing, provider of open-source language for data science, machine learning and scientific computing.

Venture Deals

20 JUN 2017 | Erin Griffith | Fortune

[Julia] reads like Python or Octave, but performs as well as C. It has built-in primitives for multi-threading and distributed computing, allowing applications to scale to millions of cores. In addition to HPC, Julia is also gaining traction in the data science community.

Julia: A High-Level Language for Supercomputing and Big Data

06 SEP 2017 | Daniel Gutierrez | Inside Big Data

The focus is to upskill the workforce in IoT with workshops on new technologies like LoRa and Julia scientific computing.

IoT Meet Focuses on Expanding Indian Start-Up Ecosystem

08 NOV 2017 | IANS | Economic Times CIO

Julia has been used in such applications as image analysis and linear algebra research.

New Julia Language Seeks to Be the C for Scientists

21 JUN 2017 | Richa Bhatia | Analytics India Mag

In addition to improving R and Python, the group hopes its work will also improve the user experience in other open-source programming languages like Java and Julia.

R and Python are Joining Forces, in the Most Ambitious Crossover Event of the Year—for Programmers

06 MAY 2018 | Dan Kopf |

Julia is another great language with an open and active community. They are currently investing in machine learning techniques, and even have good interoperability with Python APIs. The Julia community shares many common values as with our project, which they published in a very like-minded blog post after our project was well underway. We are not experts in Julia, but since its compilation approach is based on type specialization, it may have enough of a representation and infrastructure to host the Graph Program Extraction techniques we rely on.

TensorFlow: Why Swift for TensorFlow?

Julia Computing ... has developed a unique and high performing programming language with rich applications in AI and Machine Learning

Fasten Your Seatbelts, India Is in the Midst of a Product Uprising

26 FEB 2018 | Radhika Nair | YourStory

Jupyter is the successor to the iPython notebook, and as such is closely aligned with Python, but it also supports R, Scala, and Julia.

Which Programming Language Is Best for Big Data?

12 FEB 2018 | Alex Woodie | Datanami

While Julia is not yet among the most in-demand programming languages on Wall Street, its growth rate is impressive and hedge funds are among the early-adopters

The Quantitative Skills that Will Get You a Hedge Fund Job Now

7 FEB 2018 | Dan Butcher | efinancialcareers

Intel India has established deep industry collaborations on the lines of existing partnerships with Hewlett Packard Enterprise, Wipro, Julia Computing and Calligo Technologies, while also acquiring companies that can accelerate its AI solution development capabilities.

70% Indian Firms To Deploy AI By 2020: Intel

14 DEC 2017 | CXOtoday News Desk | CXOtoday

Until recently, it’s been difficult to take these theoretical ideas and bring them to the real world. But now, anybody can bring it to life. This is what we are doing with Julia.

We Can Take Machine Learning Everywhere but It's Not Going to Be One Size Fits All: Alan Edelman

25 JAN 2018 | Jayadevan PK | FactorDaily

Julia’s JIT compilation and type declarations mean it can routinely beat pure, unoptimized Python by orders of magnitude.

Julia vs. Python: Julia Language Rises for Data Science

20 DEC 2017 | Serdar Yegulalp | InfoWorld

Julia is a JIT (just-in-time) compiled language, which lets it offer good performance. It also offers the simplicity, dynamic-typing and scripting capabilities of an interpreted language like Python. Julia was purpose-designed for numerical analysis. It is capable of general purpose programming as well. Many users of the language cite [readability] as a key advantage.

Which Languages Should You Learn For Data Science?

31 AUG 2017 | Peter Gleeson | FreeCodeCamp

Julia is a free, open-source computer programming language that is gradually becoming a popular alternative to more established languages such as MATLAB and Python. Envisioned as a way to avoid the difficulties of using slower, older languages for today’s more advanced analytical applications, without compromising on ease of use, Julia has found fans around the world, drawing a sizable community of users since its launch in 2012.

Julia: Viral Shah, an Indian Computer Scientist Built a New Programming Language from Bengaluru

20 APR 2017 | Maria Thomas | Quartz India

Julia Computing focuses on building products at the intersection of machine-learning and big data to solve problems in areas such as algorithmic trading, self-driving vehicles, astrophysics, drug discovery and augmented reality.

Moonshot Ideas Will Grab Attention of Startups in 2017

20 JAN 2017 | J Vignesh et al | Economic Times

Open-source libraries allow researchers to create free Plotly graphics from R, MATLAB, Python and Julia code.

Data Visualization Tools Drive Interactivity and Reproducibility in Online Publishing

30 JAN 2018 | Jeffrey M. Perkel | Nature

Machine learning expert Alan Edelman expressed his keenness to train Bangladeshi young programmers in developing new technologies through Artificial Intelligence.

Alan Edelman Keen to Train Bangladeshi AI Developers

25 FEB 2018 | News Correspondent | Tech World BD 24

Julia will support the developers to implement their innovation in programming.

Alan Edelman to Train Bangladeshi AI Developers

25 FEB 2018 | Staff | Daily Sun

Julia Computing has been developing next-generation solutions to meet many of these requirements.

Julia Computing Wins RiskTech100 2018 Rising Star Award

17 Nov 2017 | HPCWire Staff | HPCWire

Julia is a fast-maturing programming language developed to be simple to learn, highly dynamic, operational at the speed of C, and ranging in use from general programming to highly quantitative uses such as scientific computing, machine learning, data mining, large-scale linear algebra, and distributed and parallel computing.

JuliaCon Draws Global Users of a Dynamic Easy-to-Learn Programming Language

18 JUL 2016 | MIT News Staff | MIT News

Viral Shah, CEO and co-founder of Julia Computing said, 'For industry the focus is on robustness whereas in academia it's all about experimentation'.

Hedge Funds Opt for Open Source and AI Goes FinTech

07 MAR 2017 | Ian Allison | Newsweek

The performance of productivity languages such as Python, Julia, Java, R and more is increasing by leaps and bounds.

AI Software: Understanding the Rapidly Expanding Ecosystem

20 DEC 2017 | Staff | InsideHPC

It’s a shame that R doesn’t have a shorter anonymous function syntax, given that it’s a functional programming language. I’d also love to have Julia’s triple quoted strings and non-standard string literals.

R Is A Great Language, But Some Small Tweaks Would Make It Even Better

26 SEP 2016 | Hadley Wickham | Forbes

Disney, Uber, Apple and Amazon are all keenly interested in a relatively new startup company called Julia Computing . . . The young company is behind a programming language that’s catching on like wildfire.

Julia Computing: Disney, Uber Interested in Tech Startup in India… but for what?

22 AUG 2017 | Thom Pratt | Kingdom Insider

He searched online for a way to turn numbers into sound and found a script using the programming language, Julia.

Powell Teacher Cracks Adobe Code, Wins Software

03 MAR 2017 | Travis Dorman | Knoxville News Sentinel

Julia Computing has been granted $910,000 by the Alfred P. Sloan Foundation to support open-source Julia development, including $160,000 to promote diversity in the Julia community.

Julia Computing Awarded $910,000 Grant by Alfred P. Sloan Foundation

26 JUN 2017 | HPCwire Staff | HPCwire

One effective approach to addressing climate change is contributing to the development of Julia. Julia is a modern technical language, intended to replace Matlab, R, SciPy, and C++ on the scientific workbench … it has beautiful foundations, enthusiastic users, and a lot of potential. ...I’m also happy to endorse Julia because, well, it’s just about the only example of well-grounded academic research in technical computing.

What Can a Technologist Do About Climate Change?

NOV 2015 | Bret Victor | WorryDream.com - Bret Victor

If you use a programming language (R, Python, Julia, F#, etc) to script your analyses then the path taken should be clear - as long as you avoid any manual steps.

10 Rules for Creating Reproducible Results in Data Science

03 July 2017 | Andrew Tait | Dataconomy

mxnet: a deep learning framework capable of distributed computing with a large selection of language bindings, including C++, R, Scala and Julia.

Creating Neural Networks in Python

16 JUN 2017 | Eric Olsen | Electronics 360

Pitted against R for example, Julia is a lot faster and less quirky as a programming language.

Julia for Data Science

10 JAN 2017 | Daniel Gutierrez | Inside Big Data

Julia (Top 25 Most Loved Programming Languages 2017).

Which Are the Most Loved and Most Hated Programming Languages - 2017

28 MAR 2017 | Fossbytes Staff | Fossbytes

Julia, a high-level dynamic language for technical programming, is gaining a foothold among developers. For the first time, the language has cracked the top 50 in this month's Tiobe Index of language popularity, rising to 47th place.

Languages On The Rise: Julia, Go, Kotlin ... and Assembly?

09 SEP 2016 | Paul Krill | InfoWorld

$160,000 will be used to create a new position—designated as full-time director of diversity initiatives.

Julia Computing Bags Grant Worth $910k

28 JUN 2017 | Vijayakumar Pitchiah | VC Circle

The latest version of Julia has been released with what has been described as a sweeping overhaul of the type system and numerous improvements to syntax and to the standard library.

Julia 0.6 Improves Type Handling

27 JUN 2017 | Kay Ewbank | I Programmer

Julia ist eine dynamisch typisierte, funktionale Programmiersprache, die vor allem auf technische Berechnungen und damit wissenschaftliche Projekte zielt, gleichzeitig aber auch als General Purpose Language zum Einsatz kommen soll.

Programmiersprachen: 4.6 Millionen US-Dollar für Julia Computing

20 JUN 2017 | Alexander Newmann | Heise Newsticker

Julia is an open-source language for high-performance technical computing and data science.

Julia Computing Raises $4.6 Million in Funding

22 JUN 2017 | J Vignesh | Economic Times

Julia delivers dramatic improvements in simplicity, speed, capacity and productivity. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort.

Julia Computing Raises $4.6M from General Catalyst and Founder Collective

22 JUN 2017 | BW Disrupt | BW Online Bureau

Julia Computing provides a high performance open source computing language for data, analytics, algorithmic trading, machine learning and artificial intelligence.

Julia Computing Raises $4.6M in Seed Funding

20 JUN 2017 | FinSMEs Staff | FinSMEs

‘Why we created Julia’ ... went viral on Reddit and Hacker News, getting more than 200,000 hits in a day. It was a big tipping point.

Meet The Co-creator of Julia Programming Language, Viral Shah

02 MAY 2017 | Alok Soni | YOURSTORY

Julia now has 250,000 users around the world and is doubling every nine months.

And Julia Went Viral

30 APR 2017 | Akram Mohammed | New Indian Express

Julia Computing is working on an AI-powered software capable of diagnosing diabetic retinopathy, a degenerative condition that affects eyesight. The developers have trained a neural network using a huge dataset of images showing infected eyes and those free from the condition. In this way, the technology could theoretically be applied in a patient’s home, using a high quality smartphone camera. This way, the patient can self-diagnose for the condition before visiting a doctor, and even track the advancement of his condition.

Artificially Inside: How Intel's Search For AI Is Keeping Researchers And Developers In India Busy

27 APR 2017 | Gwyn D'Mello | India Times

Predictive analytics and machine learning are the future of tech, so I would focus on math, statistics, and behavioral psychology, says Jill Witty, VP of Talent at Entelo. Regarding programming languages and back-end tech I would emphasize R, Python, Java, JavaScript, Julia, Scala, and Hadoop, among others.

The 7 Hottest Jobs in IT

05 JUN 2017 | Paul Heltzel | CIO.com

The TIOBE Index expects that in 2017, the favored candidates for programming language of the year will include Apple's Swift, Julia, the Microsoft-created TypeScript, and the ever-popular C++.

Google Claims the Hottest Programming Language of 2016

10 JAN 2017 | Matt Weinberger | Business Insider

Will Julia turn into one of the popular languages for machine learning and data science? Time will tell.

What Is the Most Popular Language for Machine Learning?

13 FEB 2017 | Jean-Francois Puget | Silicon Republic

Julia has specific features built into the core language that make it particularly suitable for working with the real-time streams of Big Data industry wants to leverage these days, such as parallelization and in-database analytics. The fact that code written in Julia executes very quickly adds to its suitability here.

Big Data Programming Languages: What Are the Differences Between Python, R and Julia?

21 NOV 2016 | Bernard Marr | Data Informed

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing.

RCE Podcast Looks at the Julia Language for Technical Computing

15 OCT 2016 | Rich Brueckner | Inside HPC

What I like about Julia is that it is very easy to use, and despite being as easy to use as Python, you still have a lot of low level control.

Leah Hanson on the Julia Language, Static Analysis

04 FEB 2016 | Werner Schuster | Info Q

The benefits of using Julia over other languages for scientific work include: its low barrier to entry for scientists and mathematicians, its flexibility and high performance (comparable to C), its graphics and visualization capabilities, and its ability to handle large computational problems efficiently.

Bringing Julia from Beta to 1.0 to Support Data-Intensive Scientific Computing

10 Nov 2015 | Gordon & Betty Moore Foundation

A number of [corporations] across the world are now finding real-world use for Julia, which can be deployed in … areas such as data science and recommendation engines, especially in sectors such as ecommerce, finance and engineering.

Julia Founders Create New Startup to Take Language Commercial

09 MAY 2015 | Anirban Sen | ECONOMIC TIMES

Overall, Julia is a welcome addition [to the High Performance Computing (HPC)] community. …The future looks bright for Julia. New and existing HPC coders will appreciate a dirt-simple on-ramp to the HPC superhighway.

Dirt Simple HPC: Making the Case for Julia

26 JAN 2016 | Douglas Eadline | THE NEXT PLATFORM

Delivering Hadoop style parallelism, ... [Julia] is destined to make a major impact.

7 New Programming Languages To Learn in 2016

01 JAN 2016 | Mark Trego | CODING DOJO

Julia should be on the radar of everyone from traders and operations executives to IT managers, developers and data scientists and really anyone who wants to expand their job options as electronic trading takes over and the industry as a while becomes more technology-centric.

Julia Programming Language: This Is The New Skill Hedge Funds Are Asking For

03 JUN 2016 | Dan Butcher | EFINANCIAL CAREERS

Julia is a really well-thought-out language. …it has a rigorous but infinitely flexible type system …. When these features are combined with the built-in just-in-time (JIT) compiler, they let code … run as fast as C or Fortran. But the real killer is that you can do this with code as concise and expressive as Python. … So why not make your next language Julia? It might even be the last one you need to learn.

The Julia Language Is the Way of the Future

31 MAR 2016 | Sam | OCEANOGRAPHER’S CHOICE

Programming language Julia made it to a list of the top 50 programming languages in the world last month.

Julia Is Killing It in the Programming World - Meet its Co-Creator from India

19 OCT 2016 | Jayadevan PK | FactorDaily

I’d like to work with Julia. It is a high-performant, general-purpose programming language with a focus on numerical analysis. I’d like to see more support via library bindings to help drive adoption. This is because the language implements some cool concepts to achieve high performance in a very Python-esque writing style. There’s a demand to squeeze more performance out of software. So having a language that allows you to write in an intuitive and simple manner — while remaining performant — can open the doors to more efficient and increased throughput of data processing and analysis techniques.

An Engineering Leader Discusses the Best Programming Languages to Learn

21 JAN 2020 | Alton Zenon III | BuiltInChicago

Julia is making a run at the top and [Alan] Edelman won last year’s IEEE Sidney Fernbach Award presented at SC19 for, among other things, his work on Julia.

Julia Programming’s Dramatic Rise in HPC and Elsewhere

14 JAN 2020 | John Russell | HPCWire

Julia ... has become the new de-facto for machine learning. Julia offers best-in-class support for modern ML-frameworks like TensorFlow and MXNet, making it easy to adapt to existing workflows.

Artificial Intelligence & Deep Learning for Medical Diagnosis

13 NOV 2019 | Oleksii Kharkovyna | Towards Data Science

JuliaTeam is an enterprise solution from Julia Computing that makes it easy and safe for developers, data scientists and IT managers to install and manage public and private packages, adhere to enterprise governance policies, deploy and scale applications, manage licenses and set up continuous integration.

JuliaTeam Available on Amazon Web Services Marketplace

17 OCT 2019 | | HPCWire

[Julia Computing CEO Viral] Shah says, "The open source community members help newcomers to the community, answer questions on Stack Overflow, organise meetups [and] mentor students. The key is to recognize that you have benefited greatly and it is important to give back."

Techies Are Coming Together to Program a Geekier Nation

24 AUG 2019 | Habeeba Salim & Shilpa Phadnis | Times of India

Julia is the programming language of choice for prominent researchers who work on projects at the cutting edge of machine learning as well as in differential equations research

Pumas-AI Introduces Healthcare Software Based on Julia Programming Language for Researchers & Clinicians

12 AUG 2019 | | PharmaBiz

[Julia] enables machine learning developers and data scientists to enjoy the speed of C with the dynamism of Ruby, usability of Python, statistical ability of R, and mathematical power of MATLAB.

Introducing Julia – The Top Programming Language for Machine Learning Development

8 AUG 2019 | Bhupinder Kour | Appinventiv

Julia ... can be used by those who aren't programmers by training

How a New Programming Language Created by Four Scientists Is Now Used by the World's Biggest Companies

20 SEP 2017 | Suparna Dutt D'Cunha | Forbes Asia

Julia has been used by organizations large and small to calculate regulatory capital, value portfolios and design trading strategies. In this article, we will demonstrate one such example use case, calculating the arbitrage opportunities in FX cross rates. We will show how a complex optimization problem can be implemented in a few lines of Julia code.

Julia, A New Language For Technical Computing

22 AUG 2017 | Avik Sengupta | Automated Trader

Julia is fast, … can call C directly without a wrapper, integrates top tier open source C and Fortran code into its Base library, and can easily call Python as well. Julia is built for parallel and cloud computing, and has particular interest from the analytics and scientific computing communities. According to KDnuggets' most recent analytics software poll, Julia placed 8th on the list of most used programming languages.

Top Machine Learning Projects for Julia

AUG 2016 | Matthew Mayo | KDnuggets

The Jupyter notebook, as it’s called, is like a Mathematica notebook but for any programming language. You can have a Python notebook, or a C notebook, or an R notebook, or Ruby, or Javascript, or Julia.

The Scientific Paper Is Obsolete

05 APR 2018 | James Somers | The Atlantic

Also in this month’s index, Kotlin and Julia both entered the top 40... Julia, in 37th place ... is used in scientific computing and [the] burgeoning field of machine learning.

Ruby (Finally) Gains in Popularity, But Go Plateaus

09 MAR 2018 | Paul Krill | Infoworld

The RStudio community plans to provide support to other languages such as Julia and Haskell.

Top 5 Alternatives to Jupyter Notebook

01 MAR 2018 | Abhishek Sharma | Analytics India Mag

Rajshekar Behar, marketing leader at Julia Computing, a rapidly rising startup specializing in AI solutions, believes that investing in learning holds the key to AI growth. The major barrier I see is that the gap between haves and have-nots keeps increasing. One way to tackle this problem is to invest in the infrastructure of learning. The skillset required for AI is not rocket science, so colleges need to include AI in their curriculum, he adds.

Why Industry and Academia Believe Data Liquidity is Key to AI Growth in India

04 APR 2018 | Soumik Ghosh | CIO.com

They wanted 'a Goldilocks programming language - one that was high level and low level at the same time, depending on how you used it' said [Julia co-creator Stefan] Karpinski. The Goldilocks ideal gave way to the Julia project: an open-source, dynamic programming language.

Julia: The Goldilocks Language

01 APR 2018 | Chris Stokel-Walker | Increment Programming Languages

Jupyter’s developers wanted to run other languages besides that of IPython, so they collaborated with developers to be able to run Julia.

Jupyter Computing Platform, Created by UC Berkeley Professor, Wins Software System Award

MAY 2018 | Yao Huang | The Daily Californian

The inspiration for Julia Computing is the demand for Julia, says Viral Shah.

Inside Venture Capital: Interview with Julia Computing’s Viral Shah

22 MAR 2018 | Stephen Henderson | Inside Venture Capital

My science teachers were fantastic but you had to go to the all-boys school next door to take Advanced Placement Physics, says [Julia Computing Director of Diversity and Outreach Jane] Herriman, who completed her bachelors in chemistry from Carnegie Mellon and is now pursuing a PhD in [materials science] from Caltech.

Meet India’s Women Open Source Warriors

FEB 2018 | Pankaj Mishra | FactorDaily

Also in this month’s index, Kotlin and Julia both entered the top 40.... [Julia] is used in scientific computing and the burgeoning field of machine learning.

Ruby Gains in Popularity, but Go Plateaus

9 MAR 2018 | Paul Krill | InfoWorld

JuMP [Julia por Optimización Matemática] permite a los usuarios expresar fácilmente complejos problemas de optimización matemática con una notación natural que imita lo que un usuario podría escribir en papel.

Profesor Chileno de MIT Sloan Visita Santiago y Viña del Mar para Fomentar Avance de Startups

22 AUG 2016 | Gerencia Staff | Gerencia

Bangladeshi youth are very talented. They will show excellence if they are given proper mentorship and training program. MIT and Julia Computing will support local organizations in this regard.

Alan Edelman to Train Bangladeshi AI developers

25 FEB 2018 | UNB | Dhaka Tribune

Julia has been used in such applications as image analysis and linear algebra research.

New Julia Language Seeks To Be the C for Scientists

12 APR 2012 | Paul Krill | InfoWorld

As a data scientist who has been using the language for 5 years now, Julia is by far the best programming language for analyzing and processing data, one said. Julia, probably not as well-known as R or Python, is described as a high-level, high-performance dynamic programming language for numerical computing.

Building the Best Data Science Toolkit - Programming Languages

22 FEB 2018 | David Ramel | ADT Mag

Python, R, and Scala are the fastest-growing languages for data science, along with Julia, another upcoming language in the space

What IBM Looks For in a Data Scientist

30 NOV 2017 | Seth Dobrin and Jean-François Puget | VENTURE BEAT

The Celeste team demonstrated that the Julia language can support both petascale compute and terascale big data analysis on a leadership HPC system plus scale to handle the seven petabytes of data expected to be produced by the Large Synoptic Survey Telescope (LSST) every year.

Julia Language Delivers Petascale HPC Performance

28 NOV 2017 | Rob Farber | THE NEXT PLATFORM

Soon, AI Could Be Doing Your Appraisals

14 DEC 2017 | J Vignesh | ET Tech

Julia provides the productivity and performance equivalent to five major programming languages including R, Python, MATLAB, C, and FORTRAN. It further provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive library of fast mathematical functions.

10 Most Innovative Startups in India That Will Rule in 2018 and Beyond

11 NOV 2017 | Biplab Ghosh | KnowStartup

Julia is a big deal. It’s a free alternative to proprietary tools for doing data science … and it’s more contemporary than open-source languages R and Python.

Why the Creators of the Julia Programming Language Just Launched a Startup

18 MAY 2014 | Jordan Novet | VENTURE BEAT

Julia, for example, recently delivered a peak performance of 1.54 petaflops using 1.3 million threads on 9,300 Intel Xeon Phi processor nodes of the Cori supercomputer at NERSC. The Celeste project utilized a code written entirely in Julia that processed approximately 178 terabytes of celestial image data and produced estimates for 188 million stars and galaxies in 14.6 minutes.

AI-HPC Is Happening Now

08 NOV 2017 | Rob Farber | insideHPC

Viral Shah, co-founder of Julia Computing and a co-creator of the Julia programming language, said companies need to decide the level of cyber risks assessing their threat landscapes. Shah said data protection is a three-step process that requires companies to safeguard their hardware with sufficient security protocols,monitor data access and make sure it's encrypted.

Zomato Data Theft Reveals Dark Side of Cyberspace

19 MAY 2017 | Anand J | Times of India

This research collaboration of astrophysicists, statisticians and computer scientists from UC Berkeley, Berkeley Lab, MIT, Julia Computing and NERSC developed Celeste, a statistical analysis model designed to dramatically speed up one of modern astronomy’s most time-tested tools: sky surveys.

Berkeley Lab-Led Collaborations Honored for HPC Innovation Excellence

10 JAN 2018 | HPCwire Staff | HPCwire

Julia Computing builds professional software tools to make it easier for organizations, especially in the finance world, to make use of the Julia language, which is particularly good for in-demand tasks like data analytics and machine learning. Asset manager BlackRock and large British insurer Aviva are both Julia Computing customers, for example.

General Catalyst, Founder Collective Fund the Creators of Open Source Programming Language

19 JUN 2017 | Kelly O'Brien | Boston Business Journal

Julia Computing has a chance to redefine the way mathematics and science are practiced. The way Red Hat makes Linux approachable to enterprises, Julia Computing does for the Julia programming language.

Deconstructing the Near Perfect Deal

19 JUN 2017 | David Frankel | Hacker Noon

Programming is an important element of the master’s. The curriculum incorporates C++, as well as Python and R. In a couple of years’ time, the university may add a new programming language: Julia. “It’s more recent, it’s extremely fast and convenient to program with, and its use is expanding,” says Jacquier.

Quant Guide 2017: Imperial College London

19 JUN 2017 | RISK.NET STAFF | RISK.NET

Julia Computing has revealed a seed funding of $4.6 million from investors General Catalyst and Founder Collective. The firm offers Julia, an open source computing language for data, analytics, algorithmic trading, machine learning and artificial intelligence (AI).

Fintech Funding Roundup

23 JUN 2017 | Antony Peyton | Banking Technology

Julia provides the productivity and performance equivalent to five major programming languages including R, Python, Matlab, C, and Fortran. It further provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive library of fast mathematical functions.

Julia Computing Raises $4.6 Mn Funding From General Catalyst, Founder Collective

22 JUN 2017 | Meha Agarwal | Inc42

Coming second is Julia Computing with $4.6 million raised.

State of Startups: India’s Top Funded Companies for 2017

02 AUG 2017 | Pranbihanga Borpuzari | Economic Times

Julia's advantages over other languages include speed improvements, unlimited scalability, and easy integration with existing code platforms.

Julia Computing, the Computing Language for Quants, Secures $4.6M Seed Round

21 JUN 2017 | Sriram Sharma | FactorDaily

Julia Computing seeks to commercialize open-source programming language Julia.

Venture Capital Deals

20 JUN 2017 | Dan Primack | Axios Pro Rata

Machine learning expert Alan Edelman will mentor Bangladeshi young programmers to develop new technologies through artificial intelligence (AI).

Alan Edelman to Train BD AI Programmers

3 MAR 2018 | Staff | Asian Age

Machine learning expert Alan Stuart Edelman will mentor Bangladeshi young programmers to develop new technologies through Artificial Intelligence (AI).

Alan Edelman to Train Bangladeshi AI Developers

24 FEB 2018 | Staff | Into AI

Julia delivers dramatic improvements in simplicity, speed, capacity, and productivity to solve massive computational problems quickly and accurately. It is the preferred language for big data and analytics. It is an open source project with a diverse community of almost 500 contributors around the world.

Julia Computing Raises $4.6 Million

20 JUN 2017 | News Center Staff | News Center

Intel India is collaborating with Hewlett Packard Enterprise, Wipro, Julia Computing, and Calligo Technologies, by enabling them with AI solutions based Intel architecture.

Intel India Eyes AI Opportunities, Plans to Develop Ecosystem

31 MAY 2017 | Ed Nair | DATAQUEST

Julia, an open source computing language, caters to data, analytics, algorithmic trading, machine learning and artificial intelligence.

Julia Computing Raises $4.6 MN in Seed Round

22 JUN 2017 | Vijayakumar Pitchiah | VCCircle

Julia has built a strong following. It has a number of Hadoop style features, which makes it a very useful programming language for developers working on big data projects.

New Programming Languages Developers Should Master in 2017

16 JUN 2017 | Annie Qureshi | Sustainable Business Forum

Julia parallel computing tools ... made these speedups possible.

Forecasting with Julia

13 MAY 2017 | Abhi Gupta, et al | Global Economic Intersect

Julia has joined the rarefied ranks of computing languages that have achieved peak performance exceeding one petaflop per second – the so-called Petaflop Club.

Julia Joins Petaflop Club

12 SEP 2017 | HPCWire Staff | HPCWire

All of this makes Julia a one-stop shop for the various stages of a complex machine-learning project.

A Bot Lingua Franca Does Not Exist: Your Machine-learning Options for Walking the Talk

25 APR 2017 | Danny Bradbury | The Register

The team behind the Julia programming language have now ported the language to the Raspberry Pi hardware and have added support for GPIO, the Sense HAT and Minecraft.

Julia Raspberry Pi Open Source Programming Language

15 MAR 2017 | Julian Horsey | Geeky Gadgets

TIOBE expects next year's top candidates to be Apple's Swift language, Julia, and the Microsoft-maintained TypeScript.

Google's Go Beats Java, C, Python to Programming Language of the Year Crown

11 JAN 2017 | Liam Tung | ZDNet

Julia was added to the list of languages we track in 2015, and in the past year it's moved from rank 40 to 33 ... clearly possessing some momentum in its growth.

Go Leads Strong Big Data Showing in IEEE Programming Language Ranking

28 JUL 2016 | David Ramel | ADT Magazine

Julia Computing was created to commercialize and support the high-performance Julia programming language.

A Few Cool Tech Startups I Came Across at Boston's HUBweek

03 OCT 2016 | Bob Brown | Network World

Get up close and personal with newer technologies (Google Go or the dynamic Julia programming language).

Turn Into a Pro Full Stack Developer

17 JAN 2017 | Danny Zepeda | TechnoBuffalo

Julia is designed to eliminate the need for researchers to use multiple programming languages to perform computational analyses and surrounding tasks.

Julia Language Gets $600,000 Grant

19 NOV 2015 | Christina Cardoza | SD Times

GitHub data shows that developers are showing a healthy interest in the programming language that was designed to do everything.

Growth Spurt: Julia’s Popularity with Programmers Is on the Uptick

18 DEC 2014 | Phil Johnson | IT World

The other language that's worth checking out is Julia... Julia's support for parallelism is intriguing.

Pure And Julia Are Cool Languages Worth Checking Out

09 JAN 2013 | Mark Gibbs | Network World

Check out Julia (www.julialang.org), [Assistant Professor of Genome Sciences at the University of Washington Cole] Trapnell says, an emerging language that combines the syntax of Python, the graphing acumen of R, and the speed of C++. That means the code is easy to write, but super fast.

Get With the Program

01 AUG 2015 | Jeffrey M. Perkel | The Scientist

Julia is described as a high-level, high-performance dynamic programming language for technical computing.

10 Up-and-Coming Programming Languages Developers Should Get to Know

03 APR 2017 | Matthew Finnegan | TechWorld

Julia is a high-performance language for processing and visualizing data in cloud environments, Julia is also open source. It was designed with parallelism in mind and includes key elements for distributed computation.

Selecting Programming Languages for the IoT

20 MAR 2017 | Promotion | Digit

E-commerce Is Passe - Moonshot Ideas Will Grab Attention of Startups in 2017

20 JAN 2017 | Payal Ganguly et al | Times of India

This programming language compiles straight to machine code as it runs, it seems to be a valid alternative to Hadoop and it might follow in the footsteps of C speed wise.

Can Julia Give Us Everything?

11 NOV 2016 | Gabriela Montroc | Jaxenter

This new language’s popularity is largely due to three things: support, community, and speed.

Hello Julia: New Data Science Programming Language Shows Promise Despite Flaws

18 JUN 2016 | David Telford | Go Certify

Julia is ... faster at its core than Python. It also features a growing list of packages, covering not just math and science applications, but also other functionalities associated with Python, like connectivity to data sources on cloud providers.

4 Languages Poised to Out-Python Python

27 JUN 2016 | Serdar Yegulalp | InfoWorld

Julia boasts performance as fast as that of languages like C or Fortran, and is still simple to learn. … We tested our code and found that the model estimation is about ten times faster with Julia than before, a very large improvement.

The FRBNY DSGE Model Meets Julia

03 DEC 2015 | Smith | FEDERAL RESERVE BANK OF NY

[I]t’s notable that Julia, a high-level programming language built expressly for use in technical computing, has entered TIOBE’s list …. In industries that prize efficiency, such as finance, Julia has enjoyed rapid adoption by tech professionals and data scientists. In banking and trading, algorithmic traders and quants now rely on Julia because it allows them to push code as quickly as possible to market, without needing to rewrite.

15 SEP 2016 | Nick Kolakowski | Dice

[Julia has] generated an excited buzz in scientific computing circles. Julia may be the first language since Fortran created specifically with scientific number crunching in mind. Julia allows expressive programming using sophisticated abstractions while attaining C … speed in many benchmarks. …Julia has powerful concurrency and networked programming facilities; it can interface seamlessly with Fortran and C library routines … and it’s able to act as shell-like glue code. Julia can be as simple and direct to program in as Python while offering an order of magnitude increase in speed.

Scientific Computing’s Future

07 MAY 2014 | Lee Phillips | Ars Technica

Big-data languages, such as Julia, Python, R and Scala … are purpose-built for handling large amounts of numeric data, with stables of packages that can be tapped for quick big-data analytic prototyping.

Top Programming Languages Trends: The Rise of Big Data

03 JUN 2016 | Nicholas Diakopoulos | IEEE SPECTRUM

The new code in Julia is easier to read than the R code because Julia has fewer syntactic quirks than R. More importantly, the Julia code runs much faster than the R code without any real effort put into speed optimization. For the sample text I tried to decipher, the Julia code completes 50,000 iterations of the sampler in 51 seconds, while the R code completes the same 50,000 iterations in 67 minutes — making the R code more than 75 slower than the Julia code.

Julia, I Love You

31 MAR 2012 | John Myles White | John Myles White

Julia has almost C-like performance for some of the micro benchmarks and is much faster than languages like R and Python.

Getting Parallel: Creating Parallel Applications with the Julia Programming Language

JAN 2016 | Mark Vogelsberger | Linux Magazine