Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week, we took a look at the most popular programming languages in April, interviewed the creators of Julia, and learned about remote pair programming. We also found out why AIOps is here to stay.
The initial release of the Julia programming language was eight years ago, in 2012. We spoke to the four creators of the language, Dr. Viral B. Shah, Dr. Jeff Bezanson, Stefan Karpinski and Prof. Alan Edelman, to find out whether Julia has been able to live up to their high expectations. They also went into detail about the various use cases Julia is applied to today, how the language compares to Python, and where it is headed in the future.
The latest minor version of Julia, v1.4, has landed. The open source high-level dynamic programming language is used for tasks such as machine learning and statistics, and now it has received several new features. Let’s see what language changes, build system changes and new library functions Julia 1.4 has on board.
Julia has undergone a few new changes with the release of version 1.3. The newest minor update brings better reproducibility for future projects, a new community collection of build repos, a few new language features, and more. Let’s check in with Julia and see how the language is doing, what’s new, and what its community is saying about its current state.
September is upon us! The sun is still shining, but the mornings have a chill in the air. Don’t worry though, we’ve got something to keep you warm on your way to work – the 10 hottest posts from the last month. Let’s take a closer look.
What’s new with Julia? The latest update for the high-performance technical computing language has arrived and is ready to download. This is a minor update, so this means no breaking changes. However, it brings plenty of standard library changes, a handful of new features, and some minor changes. Meet Julia v1.2!
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we took a close look at GraphQL and how it’s changing web querying, JuliaCon’s user survey results, and Quarkus in an interview with Alex Soto. There’s plenty more, too! Let’s take a look.
Is Julia “the language of the future”? The TIOBE Index has seen a recent upswing in its popularity, as it slowly climbs up the charts from 50th place to the 35th most popular programming language. At JuliaCon 2019, the results from the user survey were revealed. To celebrate, let’s take a quick dip into the language use cases and how it stacks up.
Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we learned about 5 alternatives to JavaScript, saw the arrival of Apache NetBeans 11.1, celebrated sysadmins, and lots more. Let’s have a look.
The Julia programming language introduced composable multi-threaded parallelism. Let’s take a look under the hood and see where this language is headed, and what it includes. It may not be the most popular language, but attendees of JuliaCon in Baltimore are showing off its specific uses and creations made with the language.
Numerous reports have documented recently Julia’s incredible growth over the past few months. Today, however, we are having a look at the latest additions to Julia. If you have not yet joined the hype, maybe these updates will do the trick for you!
RedMonk’s biannual report -for the first quarter of 2019- on the state of the most popular programming languages is here. The RedMonk team also presents a neat chart that includes all the language movements from 2012 till Q1 2019. Let’s have a look.
Programming languages go through cycles; it’s up to us to know when to switch to the latest new thing. Here’s a look at the internet’s collective wisdom about programming language: the PYPL Index! Looks like Python and Java are on top, Julia is rising quickly, and PHP continues to slump for the 5th year in a row.
Need a good math tutor? Julia’s the name and differential equations is the new game. Julia’s latest library combines machine learning with solving differential equations. This collaborative effort shows off the power that Julialang has as a platform for machine learning.
