Julia Is Production Ready - Q&A with Bogumił Kamiński: GH Warsaw School of Economics professor and DataFrames.jl maintainer Bogumił Kamiński told InfoQ that Julia is production ready. The full interview is available here.
Grant Sanderson Teaches Julia at MIT: Grant Sanderson, creator of the popular 3Blue1Brown mathematics YouTube channel (3 million subscribers and 150 million YouTube views), joins Julia Computing Chief Scientist Alan Edelman, David Sanders and James Schloss teaching Julia at MIT. Lectures are available free online, beginning with Week 1: Working with Images in Julia and Convolutions in Image Processing with more than 165,000 combined YouTube views. Course materials are available here.
Tanmay Bakshi in Conversation with Julia Computing’s Viral Shah and Keno Fischer: Tanmay Bakshi invited Julia Computing co-founders Viral Shah and Keno Fischer to discuss Julia - Innovation Starts at the Bottom of the Stack on Tech Life Skills with Tanmay. The full conversation is available here.
Julia at ‘Escape Velocity’ - Jeff Bezanson Talks Julia with Bruce Tate: Julia co-creator and Julia Computing co-founder and CTO (Language) Jeff Bezanson tells Groxio’s Bruce Tate that Julia has reached ‘escape velocity’. Click here to watch the full conversation.
Julia Reaches #28 on TIOBE Index: Julia has reached #28 on the TIOBE Index, #24 on the PYPL Index, #19 on the IEEE Spectrum ranking and ranks #7 in GitHub stars among languages developed on GitHub.
Julia Book by Tom Kwong: Hands-On Design Patterns and Best Practices with Julia by Tom Kwong is available now. Learn how to design and develop high-performance, reusable, and maintainable applications using Julia.
Dash.jl Release: Dash.jl is coming to the Julia registry soon. Click here for the latest information.
COVID-19 Testing Using Julia: Tapestry Pooling uses Julia to test more COVID-19 samples faster, resulting in more testing and faster results.
Visualizing COVID-19 Data Using Julia: Vikas Negi published a blog post on Visualizing COVID-19 Data Using Julia. Click here to learn more.
Julia Is Python + C: Julia Computing CEO and co-founder Viral Shah joined Gadgets Now for a Times Techie Webinar which has been viewed more than 91 thousand times. Shah explains, ““If you’re building a new search engine that’s heavily mathematical, or trying to predict the weather, or discovering a new drug, that’s where you use Julia…It’s for very large data sets and where you are building a complex algorithmic application.”
New Julia Benchmarking: Kel Markert published new Julia benchmarks in Comparing Python and Julia for Hydrologic Modeling. According to Markert, “When running the model once compared to Python, Julia is 914.16% faster!!!”
Julia for Predicting Extreme Events on Financial Markets: Dean Markwick from BestX published an article using Julia to predict the impact of extreme events on equity, fixed income and foreign exchange markets. The article is available to BestX clients.
Best Paper Award from Computers & Chemical Engineering: Computers & Chemical Engineering has selected Graph-Based Modeling and Simulation of Complex Systems to receive the 2019 Best Paper Award. Jordan Jalving, Yankai Cao and Victor Zavala use Plasmo.jl to present graph-based modeling abstractions for cyber-physical systems.
Julia Poised to Dethrone Python for Data Science and Machine Learning: BuiltIn reports that ‘Julia and Swift are poised to dethrone’ Python for data science and machine learning.
Julia Jobs: There are hundreds of Julia jobs currently listed on Indeed.com and Julia Discourse under Jobs. Orchard Ultrasound Innovation is currently looking for a Senior Software Engineer.
Julia Google Summer of Code (GSoC 2020) and Julia Seasons of Contributions (JSoC) Wrap-Up: There are 15 Julia Google Summer of Code projects this year, as well as a number of additional Julia Seasons of Contributions projects. Check out the GSoC 2020 Wrap-Up for more information.
Kirill Zubov GSoC 2020: General Partial Differential Equation Solver Using Neural Networks
Julia Is Faster and Better than R, Matlab and Python for Economic Research: Alvaro Aguirre and Jon Danielsson of the London School of Economics Systemic Risk Centre benchmarked Julia against R, Matlab and Python for economic research. Julia “doesn’t have any historical baggage, and as a result, the code is clean, fast and less error-prone than the others… Julia [is] the best, followed by R, then Matlab, with Python the worst… Julia was designed with speed in mind, taking advantage of modern compiler techniques, and is generally the fastest of the four … Consequently, it doesn’t require the programmer to use complicated techniques for speeding, called code up, resulting in Julia’s code being both more readable and faster… In conclusion, Julia is generally the fastest and requires the least amount of tricky coding to run fast.”
Gridap - An Extensible Finite Element Toolbox in Julia: Santiago Badia and Francesc Verdugo published Gridap - An Extensible Finite Element Toolbox in Julia in the Journal of Open Source Software. Click here for more details.
Julia Computing Live Training Courses and Webinars: Register today for upcoming Julia training courses and Webinars from Julia Computing.
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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.
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