An anonymous reader quotes a report from Forbes: The security research team at Comparitech today disclosed how an unsecured database left almost 235 million Instagram, TikTok and YouTube user profiles exposed online in what can only be described as a massive data leak. The data was spread across several datasets; the most significant being two coming in at just under 100 million each and containing profile records apparently scraped from Instagram. The third-largest was a dataset of some 42 million TikTok users, followed by just under 4 million YouTube user profiles.

Comparitech says that, based on the samples it collected, one in five records contained either a telephone number or email address. Every record also included at least some, sometimes all, the following information: Profile name; Full real name; Profile photo; and Account description. Statistics about follower engagement, including: Number of followers; Engagement rate; Follower growth rate; Audience gender; Audience age; Audience location; Likes; Last post timestamp; Age; and Gender. "The information would probably be most valuable to spammers and cybercriminals running phishing campaigns," Paul Bischoff, Comparitech editor, says. "Even though the data is publicly accessible, the fact that it was leaked in aggregate as a well-structured database makes it much more valuable than each profile would be in isolation," Bischoff adds. Indeed, Bischoff told me that it would be easy for a bot to use the database to post targeted spam comments on any Instagram profile matching criteria such as gender, age or number of followers. The data appeared to have originated from a company called Deep Social, which was banned by both Facebook and Instagram in 2018 after scraping user profile data. The company was wound down sometime after this.

The researchers reached out to Deep Social, which then forwarded the disclosure to a Hong Kong-registered social media influencer data-marketing company called Social Data. Social Data shut down the database about three hours after the researchers' initial email. "Social Data has denied any connection between itself and Deep Social," reports Forbes, citing Comparitech.

President Trump voiced support on Tuesday for Oracle to buy the U.S. operations of TikTok, adding a fresh wrinkle to the bidding for the Chinese-owned video-sharing app. From a report: Oracle is a new entrant in the negotiations for TikTok, whose owner ByteDance is facing a fall deadline from the Trump administration to divest itself of its U.S. operations. Oracle, a giant in business software, has had preliminary discussions about teaming with some of ByteDance's existing minority investors to buy TikTok's U.S. operations but it isn't clear how advanced the talks are, said people familiar with the matter. Microsoft said earlier this month it was in negotiations with ByteDance, and that it was coordinating with the White House. Twitter is also exploring a bid, The Wall Street Journal previously reported.

Oracle has closer ties to the White House than most other parties involved in the bidding. Larry Ellison, the company's co-founder, chairman and largest shareholder, earlier this year threw a fundraiser at his house for the president. Chief Executive Safra Catz also worked on the executive committee for the Trump transition team in 2016. Asked Tuesday if Oracle would be a good buyer for TikTok, President Trump said, "Well I think Oracle is a great company and I think its owner is a tremendous guy, a tremendous person. I think that Oracle would be certainly somebody that could handle it."

When people build a database to manage reading lists or feed their neighbors, that's coding -- and culture. From an essay: We are past the New York City Covid-19 peak. Things have started to reopen, but our neighborhood is in trouble, and people are hungry. There's a church that's opened space for a food pantry, a restaurant owner who has given herself to feeding the neighborhood, and lots of volunteers. [...] It's a complex data model. It involves date fields, text fields, integers, notes. You need lots of people to log in, but you need to protect private data too. You'd think their planning conversations would be about making lots of rice. But that is just a data point. The tool the mutual aid group has settled on to track everything is Airtable, a database-as-a-service program. You log in and there's your database. There are a host of tools like this now, "low-code" or "no-code" software with names like Zapier or Coda or Appy Pie. At first glance these tools look like flowcharts married to spreadsheets, but they're powerful ways to build little data-management apps. Airtable in particular keeps showing up everywhere for managing office supplies or scheduling appointments or tracking who at WIRED has their fingers on this column. The more features you use, the more they charge for it, and it can add up quickly. I know because I see the invoices at my company; we use it to track projects.

"Real" coders in my experience have often sneered at this kind of software, even back when it was just FileMaker and Microsoft Access managing the flower shop or tracking the cats at the animal shelter. It's not hard to see why. These tools are just databases with a form-making interface on top, and with no code in between. It reduces software development, in all its complexity and immense profitability, to a set of simple data types and form elements. You wouldn't build a banking system in it or a game. It lacks the features of big, grown-up databases like Oracle or IBM's Db2 or PostgreSQL. And since it is for amateurs, the end result ends up looking amateur. But it sure does work. I've noticed that when software lets nonprogrammers do programmer things, it makes the programmers nervous. Suddenly they stop smiling indulgently and start talking about what "real programming" is. This has been the history of the World Wide Web, for example. Go ahead and tweet "HTML is real programming," and watch programmers show up in your mentions to go, "As if." Except when you write a web page in HTML, you are creating a data model that will be interpreted by the browser. This is what programming is. Code culture can be solipsistic and exhausting. Programmers fight over semicolon placement and the right way to be object-oriented or functional or whatever else will let them feel in control and smarter and more economically safe, and always I want to shout back: Code isn't enough on its own. We throw code away when it runs out its clock; we migrate data to new databases, so as not to lose one precious bit. Code is a story we tell about data.

phalse phace writes: Oracle has entered the race to acquire TikTok [Editor's note: the link may be paywalled; alternative source], the popular Chinese-owned short video app that President Donald Trump has vowed to shut down unless it is taken over by a US company by mid-November, people briefed about the matter have said. The tech company co-founded by Larry Ellison had held preliminary talks with TikTok's Chinese owner, ByteDance, and was seriously considering purchasing the app's operations in the US, Canada, Australia and New Zealand, the people said. Oracle was working with a group of US investors that already own a stake in ByteDance, including General Atlantic and Sequoia Capital, the people added.

Microsoft has been the lead contender to buy TikTok since it publicly said in early August that it had held discussions to explore a purchase of the app's US, Canada, Australia and New Zealand businesses. Microsoft has also seriously considered a bid to take over TikTok's global operations beyond the countries it outlined this month, people briefed on the company's thinking have said. The Redmond, Washington-based company is particularly interested in buying TikTok in Europe and India, where the video app has been banned by Narendra Modi, Indian prime minister. ByteDance is opposed to selling any assets beyond those in the US, Canada, Australia and New Zealand, said a person close to the company.

Apple is planning to terminate Epic Games' entire access to its App Store and app development tools, Epic Games said today. Apple told Epic that by August 28, all access will be ended. From a report: That includes Epic's access to the development tools necessary to create software for the Unreal Engine that Epic offers to third-party developers for their games. In response, Epic has filed a court order asking a Northern California court to stop Apple from removing Epic's âOEApp StoreâOE access. Further reading: Epic Games Sues Apple.

Long-time Slashdot reader theodp tells us Netherlands-based scientist Felienne Hermans shared a radical idea at the 2020 ACM International Computing Education Research Conference for a new programming language to be used for teaching coding -- and for teaching Python: Hermans — an associate professor at the Leiden Institute of Advanced Computer Science — observes In her ICER presentation on Hedy that we don't overwhelm children who are beginning to learn to read with the messy rules of capitalization, punctuation, and sentence construction. So why do we think kids unfamiliar with programming concepts will be able to deal from the get-go with the chock-full-of-syntax-challenges presented by even a "simple" Python loop?

Hedy (proof-of-concept beta) attempts to reduce cognitive load by introducing programming with different "levels" that gradually and gently introduce children to new commands and increasingly complex syntax. Hedy, Hermans explains in a paper, is "a gradual language with an increasingly complex syntax, based on how punctuation is taught to novice readers in natural language education."

O'Reilly media's Vice President of Content Strategy (also the coauthor of Unix Power Tools) recently explored why several popular programming languages wound up on the "most dreaded" list in StackOverflow's annual developer survey: There's no surprise that VBA is #1 disliked language. I'll admit to complete ignorance on Objective C (#2), which I've never had any reason to play with. Although I'm a Perl-hater from way back, I'm surprised that Perl is so widely disliked (#3), but some wounds never heal. It will be interesting to see what happens after Perl 7 has been out for a few years. Assembly (#4) is an acquired taste (and isn't a single language)...
But he eventually suggests that both C and Java might be on the list simply because they have millions of users, citing a quote from C++ creator Bjarne Stroustrup: "there are only two kinds of languages: the ones people complain about and the ones nobody uses." Dislike of a language may be "guilt by association": dislike of a large, antiquated codebase with minimal documentation, and an architectural style in which every bug fixed breaks something else. Therefore, it's not surprising to see languages that used to be widely used but have fallen from popularity on the list... Java has been the language people love to hate since its birth. I was at the USENIX session in which James Gosling first spoke about Java (way before 1.0), and people left the room talking about how horrible Java was — none of whom had actually used the language because it hadn't been released yet...

If there's one language on this list that's associated with gigantic projects, it's Java. And there are a lot of things to dislike about it — though a lot of them have to do with bad habits that grew up around Java, rather than the language itself. If you find yourself abusing design patterns, step back and look at what you're doing; making everything into a design pattern is a sign that you didn't understand what patterns are really for... If you start writing a FactoryFactoryFactory, stop and take a nice long walk. If you're writing a ClassWithAReallyLongNameBecauseThatsHowWeDoIt, you don't need to. Java doesn't make you do that... I've found Java easier to read and understand than most other languages, in part because it's so explicit — and most good programmers realize that they spend more time reading others' code than writing their own.
He also notes that Python only rose to #23 on the "most dreaded" languages list, speculating developers may appreciation its lack of curly braces, good libraries, and Jupyter notebooks. "Python wins the award for the most popular language to inspire minimal dislike. It's got a balanced set of features that make it ideal for small projects, and good for large ones."

"And what shall we say about JavaScript, sixteenth on the list? I've got nothing. It's a language that grew in a random and disordered way, and that programmers eventually learned could be powerful and productive... A language that's as widely used as JavaScript, and that's only 16th on the list of most dreaded languages, is certainly doing something right. But I don't have to like it."

27 years ago today, in 1993, Debian first appeared in the world. August 16th has since been recognized as "DebianDay," celebrated shortly before the annual Debian Conference — with lots of ways to get involved, according to Debian.org: Today is also an opportunity for you to start or resume your contributions to Debian. For example, you can scratch your creative itch and suggest a wallpaper to be part of the artwork for the next release, have a look at the DebConf20 schedule and register to participate online (August 23rd to 29th, 2020), or put a Debian live image in a DVD or USB and give it to some person near you, who still didn't discover Debian.

Our favorite operating system is the result of all the work we do together. Thanks to everybody who has contributed in these 27 years, and happy birthday Debian!
And the same day is also the 25th anniversary of CPAN, the Comprehensive Perl Archive Network: On the 16th August 1995, Andreas König uploaded Symdump 1.20 to CPAN. There were other things already on CPAN, but this was the first true upload, to be followed by more than 6,500 people who have released over 35,000 distributions in 230k releases.

So it seems appropriate that 16th August be designated CPAN Day, to celebrate CPAN, and all the authors who've made it what it is.
That blog post urges readers to celebrate the anniversary "by doing something related to CPAN: release something, blog about your favourite module, or email its author thanking her or him."

Finally, a Slashdot reader reminds us that Mutt is also enjoying a birthday: The email client that aims to suck a little bit less celebrates its 25th anniversary!

Long-time Slashdot reader destinyland writes: What's up with Perl 7? Perl Foundation board member Ricardo Signes tried to sum up the state of the community in a detailed post to the "Perl 5 porters" mailing list. And in a section titled "To Break or Not To Break," he writes that "The central Perl 7 question is not about version numbering, but rather about backward compatibility guarantees..." And more specifically, it's how to respond to the question of whether Perl 5 "is too constrained by backward compatibility to grow significantly in utility or rate of use." He presents three possible responses:

— Reject the premise. "There is a lot of room for forward motion without breaking changes, if we would just stop trying to change the rules and move forward."

— Accept the premise, but then "let Perl continue along its current course, becoming ever more stable as it is used by an ever-diminishing audience until it is given its rightful place in the Hall of the Honored Dead."

— Or, "figure out which constraints can, like chains, be shrugged off so we can move ahead..."

While he sees merit in all three positions, the core hope of the Perl 7 plan is choice #3. "Maybe there are kinds of backward compatibility that can be shrugged off without disrupting the vast majority of Perl users, while making the language easier to use and (very importantly) easy to *continue* to improve." And more to the point, "We aren't picking up new core developers for a bunch of reasons, but one is 'it's just too much of a slog to -do- anything.' So I am in favor of making selective breakages in order to make the language better and the implementation more workable. I think this is the core of the Perl 7 plan, and the big question is 'what are those selective breakages.'"

That section is followed by another one titled "How Shall I Break Thee?" ("The impact on existing code is a big question to be answered. Nobody is arguing that we'll attract a new set of users and developers by first alienating all the existing ones.") While there's good suggestions, right now "The plan is to come up with a plan."

And this starts with creating a document to formalize the governance model of the Perl Steering Committee as their way of pre-forming some early consensus and refining ideas before they're then put up for general discussion on the mailing list, with a project manager giving final approval to the larger community's decisions. This will then be followed by "producing a clear set of intended changes..."

"Until that happens, I just hope for a little period of calm and good faith."

Google today launched ChromeOS.dev, a new site that aims to help developers get started with building Android apps for the company's Linux-based operating system. With today's update, Google is also making it easier to build and test Android applications on Chromebooks. From a report: The new ChromeOS.dev site, which is available in English and Spanish for now, is meant to "help developers maximize their capabilities on the platform through technical resources/tutorials, product announcements, code samples and more," a Google spokesperson told us. As Google notes in today's announcement, in the last quarter, Chromebook unit sales were up 127% year-over-year in the last quarter, compared to 40% for notebook sales in general. To help Android developers do all of their work on a Chromebook if they so desire, Google now offers the full Android Emulator on Chrome OS to test apps right on their Chromebooks. The team also made deploying apps on Chrome OS (M81 and newer) much easier. Developers can now deploy and test apps directly without having to use developer mode or connect devices via USB.

An anonymous reader shares a report: Even before the pandemic, the battle to own your living room was reaching a boiling point. Now the big screen is bigger than ever as 2020 accelerates the streaming wars and raises the smart TV platform stakes. Naturally, Google is making every effort to avoid being left behind. Today the company gave Android TV developers new tools, including Google Play Instant, the Play Store in the emulator, PIN code purchases, Gboard TV, auto low latency mode, and leanback library improvements. [...] Google says Android TV now works with seven of the top 10 smart TV OEMs and over 160 TV operators. The company also added that there are now "over 80% more Android TV monthly active devices than a year ago," but didn't divulge raw numbers. Developers have built about 7,000 apps for Google Play on Android TV, to date, up from 5,000 in April 2019.

Using millions of programs in online repositories, Intel, Georgia Tech, and MIT researchers created a tool called MISIM (Machine Inferred code Similarity) with a database of code scored by the similarity of its outcomes to suggest alternatives (and corrections) to programmers.

The hope is "to aid developers with nitty-gritty choices like 'what is the most efficient way to use this API' or 'how can I correctly validate this input',"Ryan Marcus, scientist at Intel Labs, told ZDNet. "This should give engineers a lot more time to focus on the elements of their job that actually create a real-world impact..." Justin Gottschlich, the lead for Intel's "machine programming" research team, told ZDNet that as software development becomes ever-more complex, MISIM could have a great impact on productivity. "The rate at which we're introducing senior developers is not on track to match the pace at which we're introducing new chip architectures and software complexity," he said. "With today's heterogeneous hardware — CPUs, GPUs, FPGAs, ASICs, neuromorphic and, soon, quantum chips — it will become difficult, perhaps impossible, to find developers who can correctly, efficiently, and securely program across all of that hardware."

But the long-term goal of machine programming goes even further than assisting software development as it stands today. After all, if a technology can assess intent and come up with relevant snippets of code in response, it doesn't seem far-fetched to imagine that the algorithm could one day be used by any member of the general public with a good software idea. Combined with natural language processing, for example, MISIM could in theory react to verbal clues to one day let people write programs simply by describing them. In other words, an Alexa of sorts, but for software development.

Gottschlich explained that software creation is currently limited to the 27 million people around the world who can code. It is machine programming's ultimate goal to expand that number and one day, let people express their ideas in some other fashion than code — be it natural language, visual diagrams or even gestures.
Intel currently plans to use the new tool internally.

An anonymous reader quotes a report from Bloomberg Law: The U.S. government charges too much for access to an electronic database of federal court records, the Federal Circuit ruled in a decision curbing a revenue stream the court system uses to help fund other programs. The U.S. Court of Appeals for the Federal Circuit affirmed a lower court's decision that the government was not authorized under federal law to spend $192 million in Public Access to Court Records system fees on court technology projects. The lower court "got it just right" when it limited the government's use of PACER revenues to the costs of operating the system, the court said in a precedential opinion Thursday.

"We agree with plaintiffs and amici that the First Amendment stakes here are high," the court said. But it said it doesn't foresee the lower court's interpretation "as resulting in a level of user fees that will significantly impede public access to courts." The ruling is a win for public access to court information, as PACER fees will go down if the ruling withstands a possible government appeal. But access still won't be free, despite calls for the government to stop charging for it. The Federal Circuit said it was up to Congress to decide whether to require free access. Challengers said PACER fees were too high, while the government said the middle ground reached by the lower court made the fees too low. Fees for downloading a copy of a filing run 10 cents per page, up to $3 per document. The Administrative Office of the U.S. Courts collected more than $145 million in fees in 2014 alone, according to the complaint in the case. Under a 2020 change to the fee waiver rules, about 75% of users pay nothing each quarter.

Frances "Fran" Allen, a pioneer in the world of computing, the first female IBM Fellow and the first woman to win the Turing Award, died on August 4, 2020, the day of her 88th birthday. IBM writes in a blog post remembering Allen: As a pioneer in compiler organization and optimization algorithms, Fran made seminal contributions to the world of computing. Her work on inter-procedural analysis and automatic parallelization continues to be on the leading edge of compiler research. She successfully reduced this science to practice through the transfer of this technology to products such as the STRETCH HARVEST Compiler, the COBOL Compiler, and the Parallel FORTRAN Product. As much as Fran will be remembered for her technical vision and her foundational work in computing, she will equally be remembered for her passion to inspire and mentor others, fostering an environment of perseverance and hard work throughout the IBM community.

Starting as a programmer, Fran's first assignment at IBM was to teach the research community FORTRAN, a new complex language IBM had announced just three months before. This was the start of Fran's career-long focus on compilers for high-performance computing. Following FORTRAN, Fran became one of three designers for IBM's Stretch-Harvest project in the late 1950's and early 1960's. As the language liaison with IBM's client, the National Security Agency (NSA), Fran helped design and build Alpha, a very high-level code breaking language which featured the ability to create new alphabets beyond the system defined alphabets.

An Experimental Compiler for IBM's Advanced Computing System (ACS) became her next project. Fran designed and built the machine-independent, language-independent optimizing component of the compiler. The result was a tool to help drive the hardware design and a new way to analyze and transform programs. This work led to Fran's seminal paper on Program Optimization, first published in 1966, describing a robust new framework for implementing program analysis and optimization as well as a powerful set of new algorithms. Fran's 1970 paper on Control Flow analysis introduced the notion of "intervals" and node dominance relations, important improvements over the control flow abstractions given in her earlier paper. Her 1972 paper, "A Catalog of Optimizing Transformations," identified and discussed many of the transformations commonly used today.

InfoWorld's senior writer calls Python a "living language," citing its recent addition of the "walrus operator" for in-line assignments and the newly-approved pattern matching.

"And they're only two of a slew of useful features that could be added to Python to make the language more expressive, more powerful, more suited to the modern programming world. What else might we wish for?" True constants - Python doesn't really have the concept of a constant value... [E]very time a name is used, Python goes to the trouble of looking up what object it's pointing at. This dynamism is one of the chief reasons Python runs more slowly than some other languages. Python's dynamism offers great flexibility and convenience, but it comes at the cost of runtime performance. One advantage of having true constant declarations in Python would be some reduction in the frequency of object lookups that take place during runtime, and thus better performance. If the runtime knows ahead of time that a given value never changes, it doesn't have to look up its bindings...

True overloading and generics - In many languages, multiple versions of the same function can be written to work with different kinds of input... PEP 3124, advanced in April 2007, proposed a mechanism for decorating functions to indicate they could be overloaded. The proposal was deferred rather than being rejected outright — meaning the idea was fundamentally sound, but the time wasn't right to implement it. One factor that might speed the adoption of overloading in Python — or cause the idea to be ditched entirely — is the implementation of the newly proposed pattern matching system.

In theory, pattern matching could be used under the hood to handle overload dispatch. However, pattern matching could also be given as a rationale for not implementing generics in Python, since it already provides an elegant way to dispatch operations based on type signatures. So we might get true overloading in Python one day, or its advantages might be superseded by other mechanisms.
The article lists two more features Python "probably won't get" — starting with multiline lambdas (anonymous functions). Guido van Rossum had argued in 2006 he couldn't find an acceptable syntax, and the article argues "there is probably no way to do it that doesn't involve creating a special case." And it argues the final missing feature is tail recursion optimizations, "where functions that call themselves don't create new stack frames in the application, and thus risk blowing up the stack if they run for too long.

"Python doesn't do this, and in fact its creators have consistently come out against doing so."

"Programming language Python is now firmly the second most popular programming language, for the first time knocking Java out of the top two places in RedMonk's language popularity rankings," reports ZDNet: It's the first time since 2012 that Java is not one of the top two most popular languages in the developer analyst firm's programming language popularity list. The company's previous rankings in March placed machine-learning propelled Python in a tie for second place with Java, behind JavaScript.

RedMonk's influential programming popularity rankings are based on GitHub and Stack Overflow data. The company combines them "for a ranking that attempts to reflect both code (GitHub) and discussion (Stack Overflow) traction", says RedMonk analyst Stephen O'Grady, who notes "all numerical rankings should be taken with a grain of salt....

"Python is the first non-Java or JavaScript language ever to place in the top two of these rankings by itself, and would not have been the obvious choice for that distinction in years past," O'Grady notes, comparing it to Perl in its heyday because it has become a "language of first resort" and the "glue" for thousands of small projects, while enjoying high adoption in growing categories such as data science...

Five-year-old systems-programming language Rust, created by Mozilla, has hit a more positive milestone, for the first time becoming the 20th most popular language in RedMonk's rankings.
Last week IEEE Spectrum also declared Python "dominated" their assessment of language popularity (compiled from 11 different online metrics), followed by Java and C (and then C++ and JavaScript).

Last week Slashdot reader scandum described the search for the most efficient sorting algorithm.

Now he's back, touting a new implementation for binary searches (using the same GitHub repo, and written in 15 to 30 lines of C code) that he says may be "up to 40%" faster for 32-bit integers. ("Keep in mind performance will vary depending on hardware and compiler optimizations.") The most commonly used binary search variant was first published by Hermann Bottenbruch in 1962 and hasn't notably changed since. Binary searches are one of the corner stones of computer science...

The reason the algorithms are faster appears to be a combination of simpler calculations, branch prediction, and a reduction in cache misses.

When a customer gets refunded for an app they purchased, Apple doesn't refund the 30% cut they took from the developer, says developer Simeon Saens of Two Lives Left. While [online] payment processors generally don't refund fees on refunded payments, "the App Store doesn't position itself as a payments processor the way Stripe does, so it sounds really weird that they would act like one," writes HN user chadlavi. Epic Games CEO Tim Sweeney says in a tweet: This is a critical consideration in these 30% store fees. They come off the top, before funding any developer costs. As a result, Apple and Google make more profit from most developers' games than the developers themselves. That is terribly unfair and exploitative. "If the app store took a 3% chunk and never refunded it regardless of the ongoing status of the transaction, that would put them right in line with other payment processors," adds chadlavi. "It would also still net them billions of dollars, I think!"

UPDATE: In a follow-up tweet, Simeon says he "was mistaken in my original (now deleted) tweet." He adds: "Apple does not keep the 30% commission on a refund the refund happens as you'd expect. I don't know where I got the idea that it worked the way I thought it did."

Slashdot reader ravenscar did some digging in the Apple developer forums and found that "Apple has the right to keep its 30%... [but] rarely exercises this right and most developers see a 1 to 1 relationship on funds received vs funds refunded in these situations." They go on to say: "I can't find any cited examples of Apple keeping the commission."

Cloudflare today announced the private beta launch of Workers Unbound, the latest step in its efforts to offer a serverless platform that can compete with the likes of AWS Lambda. TechCrunch reports: The company first launched its Workers edge computing platform in late 2017. Today it has "hundreds of thousands of developers" who use it, and in the last quarter alone, more than 20,000 developers built applications based on the service, according to the company. Cloudflare also uses Workers to power many of its own services, but the first iteration of the platform had quite a few limitations. The idea behind Workers Unbound is to do away with most of those and turn it into a platform that can compete with the likes of AWS, Microsoft and Google. Cloudflare aims to expose to third-party developers all of the services it builds for its internal consumption. The original Workers service will continue to operate (but under the Workers Bundled moniker) and essentially become Cloudflare's serverless platform for basic workloads that only run for a very short time. Workers Unbound -- as the name implies -- is meant for more complex and longer-running processes.

When it first launched Workers, the company said that its killer feature was speed. Today, [CEO Matthew Prince] argues that speed obviously remains an important feature -- and Cloudflare Workers Unbound promises that it essentially does away with cold-start latencies. But developers also adopted the platform because of its ability to scale and its price. Indeed, Workers Unbound, Cloudflare argues, is now significantly more affordable than similar offerings. "For the same workload, Cloudflare Workers Unbound can be 75% percent less expensive than AWS Lambda, 24 percent less expensive than Microsoft Azure Functions, and 52 percent less expensive than Google Cloud Functions," the company says in today's press release.

Another feature Prince highlighted is regulatory compliance. "I think the thing we're realizing as we talk to our largest enterprise customers is that for real companies -- not just the individual developer hacking away at home -- but for real businesses in financial services or anyone who has to deal with a regulated industry, the only thing that trumps ease of use is regulatory compliance, which is not sexy or interesting or anything else but like if your GC says you can't use XYZ platform, then you don't use XYZ platform and that's the end of the story," Prince noted. Speed, though, is of course something developers will always care about. Prince stressed that the team was quite happy with the 5ms cold-start times of the original Workers platform. The way the team engineered this is by queuing up the process while the two servers are still negotiating their TLS handshake. Cloudflare also argues that developers can update their code and have it go live globally within 15 seconds. Another area the team worked on was making it easier to use the service in general. Among the key new features here is support for languages like Python and a new SDK that will allow developers to add support for their favorite languages, too.

IEEE Spectrum's August issue will include an article titled "The Top Programming Languages."

Calculated using metrics from 11 online sources, it concludes that "One thing remains constant: the dominance of Python." Our default ranking is weighted toward the interests of an IEEE member, and looking at the top entries, we see that Python has held onto its comfortable lead, with Java and C once again coming in second and third place, respectively. Arduino has seen a big jump, rising from 11th place to seventh. (Purists may argue that Arduino is not a language but rather a hardware platform that is programmed using a derivative of Wiring, which itself is derived from C/C++. But we have always taken a very pragmatic approach to our definition of "programming language," and the reality is that when people are looking to use an Arduino-compatible microcontroller, they typically search for "Arduino code" or buy books about "Arduino programming," not "Wiring code" or "C programming.")

One interpretation of Python's high ranking is that its metrics are inflated by its increasing use as a teaching language: Students are simply asking and searching for the answers to the same elementary questions over and over. There's an historical parallel here. In the 1980s, BASIC was very visible... But few professional programmers used it, and when the home computer bubble burst, so did BASIC's, although some advanced descendants like Microsoft Visual Basic are still relatively popular professionally.

There are two counterarguments, though: The first is that students are people, too! If we pay attention only to what professional and expert coders do, we're at risk of missing an important part of the picture. The second is that, unlike BASIC, Python is frequently used professionally and in high-profile realms, such as machine learning, thanks to its enormous collection of high quality, specialized libraries.
C++ came in fourth, followed by JavaScript, R, "Arduino," Go, Swift, and Matlab.

But because different programmers have different needs, they've also created a special interactive version of their rankings online, "allowing you to weight the metrics as you see fit... "