This week GitHub announced the approaching general availability of the GPT-4-powered GitHub Copilot Chat in December "as part of your existing GitHub Copilot subscription" (and "available at no cost to verified teachers, students, and maintainers of popular open source projects.")

And this "code-aware guidance and code generation" will also be integrated directly into github.com, "so developers can dig into code, pull requests, documentation, and general coding questions with Copilot Chat providing suggestions, summaries, analysis, and answers." With GitHub Copilot Chat we're enabling the rise of natural language as the new universal programming language for every developer on the planet. Whether it's finding an error, writing unit tests, or helping debug code, Copilot Chat is your AI companion through it all, allowing you to write and understand code using whatever language you speak...

Copilot Chat uses your code as context, and is able to explain complex concepts, suggest code based on your open files and windows, help detect security vulnerabilities, and help with finding and fixing errors in code, terminal, and debugger...

With the new inline Copilot Chat, developers can chat about specific lines of code, directly within the flow of their code and editor.
InfoWorld notes it will chat in "whatever language a developer speaks." (And that Copilot Chat will also be available in GitHub's mobile app.) But why wait until December? GitHub's blog post says that Copilot Chat "will come to the JetBrains suite of IDEs, available in preview today."

GitHub also plans to introduce "slash commands and context variables" for GitHub Copilot, "so fixing or improving code is as simple as entering /fix and generating tests now starts with /tests."

"With Copilot in the code editor, in the CLI, and now Copilot Chat on github.com and in our mobile app, we are making Copilot ubiquitous throughout the software development lifecycle and always available in all of GitHub's surface areas..."

CNBC adds that "Microsoft-owned GitHub" also plans to introduce "a more expensive Copilot assistant" in February "for developers inside companies that can explain and provide recommendations about internal source code."

Wednesday's blog post announcing these updates was written by GitHub's CEO, who seemed to be predicting an evolutionary leap into a new future. "Just as GitHub was founded on Git, today we are re-founded on Copilot." He promised they'd built on their vision of a future "where AI infuses every step of the developer lifecycle." Open source and Git have fundamentally transformed how we build software. It is now evident that AI is ushering in the same sweeping change, and at an exponential pace... We are certain this foundational transformation of the GitHub platform, and categorically new way of software development, is necessary in a world dependent on software. Every day, the world's developers balance an unsustainable demand to both modernize the legacy code of yesterday and build our digital tomorrow. It is our guiding conviction to make it easier for developers to do it all, from the creative spark to the commit, pull request, code review, and deploy — and to do it all with GitHub Copilot deeply integrated into the developer experience.
And if you're worried about the security of AI-generated code... Today, GitHub Copilot applies an LLM-based vulnerability prevention system that blocks insecure coding patterns in real-time to make GitHub Copilot's suggestions more secure. Our model targets the most common vulnerable coding patterns, including hardcoded credentials, SQL injections, and path injections. GitHub Copilot Chat can also help identify security vulnerabilities in the IDE, explain the mechanics of a vulnerability with its natural language capabilities, and suggest a specific fix for the highlighted code.
But for Enterprise accounts paying for GitHub Advanced Security, there's also an upgrade coming: "new AI-powered application security testing features designed to detect and remediate vulnerabilities and secrets in your code." (It's already available in preview mode.)

GitHub even announced plans for a new AI assistant in 2024 that generates a step-by-step plan for responding to GitHub issues. (GitHub describes it as "like a pair programming session with a partner that knows about every inch of the project, and can follow your lead to make repository-wide changes from the issue to the pull request with the power of AI.")

CNBC notes that AI-powered coding assistants "are still nascent, though, with less than 10% enterprise adoption, according to Gartner, a technology industry research firm."

But last month Microsoft CEO Satya Nadella told analysts GitHub Copilot already had one million paying users...

And GitHub's blog post concludes, "And we're just getting started."

Long-time Slashdot reader destinyland shares a report from CNN Business: Cruise, General Motors' self-driving vehicle subsidiary, has recalled all 950 of its autonomous vehicles for a software update. Late last month, Cruise paused all its public testing operations while it investigated the incident that led to the recall. [...]

The update will alter the way the car responds after an impact is detected. In [that infamous San Francisco accident], the vehicle had incorrectly determined that it was struck on the side rather than hitting something in the front, according to a report (PDF) Cruise filed with NHTSA. The report did not detail exactly what the software update changes, only that it "remedies the issue described in this notice."

The cars can be returned to service once the updates are completed, Cruise said in its report to NHTSA. Cruise doesn't sell its self-driving vehicles so all the cars are owned by either Cruise or GM, which produces the heavily modified Chevrolet Bolt electric vehicles. The company will perform the software updates itself.

Blake Montgomery reports via The Guardian: Rather than remove copyrighted material from ChatGPT's training dataset, the chatbot's creator is offering to cover its clients' legal costs for copyright infringement suits. OpenAI CEO Sam Altman said on Monday: "We can defend our customers and pay the costs incurred if you face legal claims around copyright infringement and this applies both to ChatGPT Enterprise and the API." The compensation offer, which OpenAI is calling Copyright Shield, applies to users of the business tier, ChatGPT Enterprise, and to developers using ChatGPT's application programming interface. Users of the free version of ChatGPT or ChatGPT+ were not included. [...] Getty Images, Shutterstock and Adobe have extended similar financial liability protection for their image-making software. The announcement was made at the company's first-ever developer conference today, where Altman said there are now 100 million weekly ChatGPT users. The company also announced a platform for making custom versions of ChatGPT for specific use cases -- no coding required.

With programmers in high demand, InfoWorld asks if it's really worthwhile for software developers to pursue certifications? "Based on input from those in the field, company executives, and recruiters, the answer is a resounding yes," "The primary benefit of certifications is to verify your skill sets," says Archie Payne, president of the recruiting firm CalTek Staffing... Certifications can be used to "reinforce the experience on your resume or demonstrate competencies beyond what you've done in the workplace in a prior role." Certifications show that you are committed to your field, invested in career growth, and connected to the broader technology landscape, Payne says. "Obtaining certification indicates that you are interested in learning new skills and continuing your learning throughout your career," he says...

In cases where multiple candidates are equally qualified, having a relevant certification can give one candidate an edge over others, says Aleksa Krstic, CTO at Localizely, a provider of a cloud-based translation platform. "When it comes to certifications in general, when we see a junior to mid-level developer armed with programming certifications, it's a big green light for our hiring team," says MichaÅ Kierul, who is CEO of software company INTechHouse.

"It's not just about the knowledge they have gained," Kierul says. "It speaks volumes about their passion, their drive to excel, and their commitment to continuous learning outside their regular work domain. It underscores a key trait we highly value: the desire to grow, learn, and elevate oneself in the world of technology."

An ongoing Cloudflare outage has taken down many of its products, including the company's dashboard and related application programming interfaces (APIs) customers use to manage and read service configurations. From a report: The complete list of services whose functionality is wholly or partially impacted includes the Cloudflare dashboard, the Cloudflare API, Logpush, WARP / Zero Trust device posture, Stream API, Workers API, and the Alert Notification System. "This issue is impacting all services that rely on our API infrastructure including Alerts, Dashboard functionality, Zero Trust, WARP, Cloudflared, Waiting Room, Gateway, Stream, Magic WAN, API Shield, Pages, Workers," Cloudflare said. "Customers using the Dashboard / Cloudflare APIs are impacted as requests might fail and/or errors may be displayed."

Customers currently have issues when attempting to log into their accounts and are seeing 'Code: 10000' authentication errors and internal server errors when trying to access the Cloudflare dashboard. Cloudflare says the service issues don't affect the cached file delivery via the Cloudflare CDN or Cloudflare Edge security features.

"More developers are looking for or are open to a new job now compared to the last two years," writes Stack Overflow's senior analyst for market research and insights — citing the results of their latest survey of developers in 107 different countries.

"More than 1,000 developers responded to this year's survey about jobs and 79% are at least considering new opportunities if not actively looking." New insights from these survey results show that new tech talent and late-career developers are both more likely to be looking. New developers have increasingly switched jobs compared to early- and mid-career developers in the last three years... Interest in looking for a new job drops as developers get older for new to mid-career (44 and younger) respondents (86% to 74%), but picks back up for those 55 to 64 (88%). Late-career developers acknowledge curiosity about other companies as their second top reason to look for a new job this year behind "better salary," which all age groups rank as their top reason. Curiosity grew in importance for late-career developers since last year more than all other age groups (32% vs. 22%) and is more important to this group than reasons other groups ranked higher such as working with new technology and growth opportunities...

In our 2023 Developer Survey, we started asking about AI and the sentiment around it in our developer community; results were very similar when we checked in again through this pulse survey (70% are using AI or planning to). Developers may also feel less enthusiastic about learning opportunities now that AI tools are rapidly developing to help many be more productive in their jobs (30% cite this as the top benefit).
Other interesting findings from the survey:

• Compared to the 2023 Developer Survey, 8% of developers have exited the technology industry and are increasingly filling roles in manufacturing and supply chain companies (11% vs. 7%)

• Technology is the industry most developers currently work in (46%), followed by manufacturing/supply chain (14%) and financial services (13%)

• New tech talent is onboarding at as many jobs by 24 as those up to 10 years their senior and this rapid experience cycle could rival the knowledge and experience of those they report to.

Long-time Slashdot reader CJSHayward shares "an attempt at Python virtual shell."

The home-brewed project "mixes your native shell with Python with the goal of letting you use your regular shell but also use Python as effectively a shell scripting language, as an alternative to your shell's built-in scripting language... I invite you to explore and improve it!"

From the web site: The Python Virtual Shell (pvsh or 'p' on the command line) lets you mix zsh / bash / etc. built-in shell scripting with slightly modified Python scripting. It's kind of like Brython [a Python implementation for client-side web programming], but for the Linux / Unix / Mac command line...

The core concept is that all Python code is indented with tabs, with an extra tab at the beginning to mark Python code, and all shell commands (including some shell builtins) have zero tabs of indentation. They can be mixed line-by-line, offering an opportunity to use built-in zsh, bash, etc. scripting or Python scripting as desired.

The Python is an incomplete implementation; it doesn't support breaking a line into multiple lines. Nonetheless, this offers a tool to fuse shell- and Python-based interactions from the Linux / Unix / Mac command line.

theodp writes: The BBC reports that Pope Francis has endorsed a global project aimed at getting more children into computer programming. The Code with Pope initiative, championed by Cosmose AI founder Miron Mironiuk, aims to bridge "the glaring disparities in education" across the globe by providing access to Python coding education through the free online learning platform Codeforia for students aged 11-15 across Europe, Africa and Latin America. Mironiuk will meet the Pope at the Vatican, but he admits he's not anticipating the pontiff to emulate his students in acquiring new skills. "I don't expect him to know Python very well," he said.

This is not the first time the Pope has encouraged young people to get into coding, having helped write a line of code together with tech-backed nonprofit Code.org in 2019. Pope Francis has also blessed AI's potential for good, meeting with Microsoft President Brad Smith (a Code.org Board member) to sign the Rome Call for AI Ethics early this year just ahead of Microsoft's $10B OpenAI investment and announcing "Artificial Intelligence and Peace" as the theme for World Day of Peace 2024 in August.

Brian Steinberg reports via Variety: So-called "pause ads" -- they only turn up a few seconds after a viewer has decided to halt the programming, and not every time one does -- are seeing new movement in the streaming world, with the format appearing more frequently on Hulu since July, according to Josh Mattison, senior vice president of revenue management and operations for Disney Advertising. Pause ads are also in motion in venues such as NBCUniversal's Peacock and Warner Bros. Discovery's Max.

As more media companies seek to goose subscriber rates by offering cheaper ad-supported versions of their streaming services, this type of commercial may become more handy. One of the main attractions of streaming, after all, is that it boasts fewer traditional commercials than its linear TV counterpart. The industry hopes that a pause ad -- other "out of pod" commercial experiences are also in development -- can appear on screen without upsetting a subscriber who gets viscerally roiled by the prospect of a glut of typical TV spots.

Others have also found ways to work ads into the moments when streaming fans come to a stopping point. NBCUniversal's Peacock launched with pause ads, says Peter Blacker, executive vice president of streaming and data products for NBCUniversal's ad-sales division, while Warner Bros. Discovery's Max introduced them in 2022, says Ryan Gould, head of digital ad sales and client partnerships at the company. No one has been holding back on the new format. Hulu has experimented with pauses since at least 2018, and an early version of the idea surfaced last decade when Coca-Cola and Universal Pictures tested concepts with ReplayTV, an early backer of digital video recording technology. Coke, which once used the slogan "the pause that refreshes" to great effect, and Charmin, the Procter & Gamble toilet tissue that can offer succor during many breaks in TV viewing, tested the format with Hulu in 2019.

An anonymous reader quotes a report from Reuters: U.S. measures to limit the export of advanced artificial intelligence (AI) chips to China may create an opening for Huawei to expand in its $7 billion home market as the curbs force Nvidia to retreat, analysts say. While Nvidia has historically been the leading provider of AI chips in China with a market share exceeding 90%, Chinese firms including Huawei have been developing their own versions of Nvidia's best-selling chips, including the A100 and the H100 graphics processing units (GPU).

Huawei's Ascend AI chips are comparable to Nvidia's in terms of raw computing power, analysts and some AI firms such as China's iFlyTek say, but they still lag behind in performance. Jiang Yifan, chief market analyst at brokerage Guotai Junan Securities, said another key limiting factor for Chinese firms was the reliance of most projects on Nvidia's chips and software ecosystem, but that could change with the U.S. restrictions. "This U.S. move, in my opinion, is actually giving Huawei's Ascend chips a huge gift," Jiang said in a post on his social media Weibo account. This opportunity, however, comes with several challenges.

Many cutting edge AI projects are built with CUDA, a popular programming architecture Nvidia has pioneered, which has in turn given rise to a massive global ecosystem that has become capable of training highly sophisticated AI models such as OpenAI's GPT-4. Huawei own version is called CANN, and analysts say it is much more limited in terms of the AI models it is capable of training, meaning that Huawei's chips are far from a plug-and-play substitute for Nvidia. Woz Ahmed, a former chip design executive turned consultant, said that for Huawei to win Chinese clients from Nvidia, it must replicate the ecosystem Nvidia created, including supporting clients to move their data and models to Huawei's own platform. Intellectual property rights are also a problem, as many U.S. firms already hold key patents for GPUs, Ahmed said. "To get something that's in the ballpark, it is 5 or 10 years," he added.

theodp writes: In July, Seattle-based and tech-backed nonprofit Code.org announced its 10th policy recommendation for all states "to require all students to take computer science (CS) to earn a high school diploma." In August, Washington State Senator Lisa Wellman phoned-in her plans to introduce a bill to make computer science a Washington high school graduation requirement to the state's Board of Education, indicating that the ChatGPT-sparked AI craze and Code.org had helped convince her of the need. Wellman, a former teacher who worked as a Programmer/System Analyst in the 80's before becoming an Apple VP (Publishing) in the '90s, also indicated that exposure to CS given to students in fifth grade could be sufficient to satisfy a HS CS requirement. In 2019, Wellman sponsored Microsoft-supported SB 5088 (Bill details), which required all Washington state public high schools to offer a CS class. Wellman also sponsored SB 5299 in 2021, which allows high school students to take a computer science elective in place of a third year math or science course (that may be required for college admission) to count towards graduation requirements.

And in October, Code.org CEO Hadi Partovi appeared before the Washington State Board of Education, driving home points Senator Wellman made in August with a deck containing slides calling for Washington to "require that all students take computer science to earn a high school diploma" and to "require computer science within all teacher certifications." Like Wellman, Partovi suggested the CS high school requirement might be satisfied by middle school work (he alternatively suggested one year of foreign language could be dropped to accommodate a HS CS course). Partovi noted that Washington contained some of the biggest promoters of K-12 CS in Microsoft Philanthropies' TEALS (TEALS founder Kevin Wang is a member of the Washington State Board of Education) and Code.org, as well some of the biggest funders of K-12 CS in Amazon and Microsoft -- both which are $3,000,000+ Platinum Supporters of Code.org and have top execs on Code.org's Board of Directors.

Christopher Grimes reports via the Financial Times: Some of Netflix's competitors are reversing a streaming war tactic by licensing their old TV shows and movies to the streamer -- boosting its programming offerings but also potentially squeezing its profit margins, analysts say. Netflix relied heavily on programming that it licensed from other companies when it launched its streaming service in 2007. But after Walt Disney, NBCUniversal, Paramount and the then Time Warner launched their own streaming services, they pulled many of their shows from Netflix to avoid feeding a company that had grown into an arch-competitor. With legacy media groups under pressure to produce streaming profits, however, licensing revenue is looking attractive again -- even if it comes from Netflix. This summer, Warner Bros Discovery's HBO network began licensing a handful of older shows to Netflix, including Insecure, Six Feet Under, Ballers and Band of Brothers.

Analysts at Morgan Stanley said the return of licensing deals was a "long-term positive" for Netflix and would "pad" its lead over competitors in streaming. But the bank added that the cost of licensing -- along with the Netflix's investments in gaming and other sectors -- could add pressure to its profit margins in 2024. The analysts raised their outlook for Netflix's overall cash spending next year by $500mn to $17.7bn. Netflix will report results on Wednesday, with investors expected to focus on whether it plans to increase subscription prices and signs of progress on its new advertising tier. The latest data on its password sharing crackdown will also be watched.

[T]he studios' experiments with licensing deals appear to have given some old shows new life. After NBCUniversal licensed its show Suits -- which aired from 2011-19 and starred Meghan Markle -- to Netflix in June, the show experienced a revival. The legal drama was in the top spot on the Nielsen Streaming top 10 for three months, an example of the "Netflix effect" on older shows. Bloys said licensing shows to Netflix had also boosted traffic for the programs on Warner Discovery's Max streaming platform, home to HBO programming including Ballers, a sports drama that ran from 2015-19. Ballers entered the Nielsen top 10 after it went to Netflix, and Insecure, a comedy starring Issa Rae that ran from 2016-21, had a similar boost.

ZDNet's senior contributing editor also maintains software, and recently tested ChatGPT on two fixes for bugs reported by users, and a new piece of code to add a new feature, It's a "real-world" coding test, "about pulling another customer support ticket off the stack and working through what made the user's experience go south." First...

please rewrite the following code to change it from allowing only integers to allowing dollars and cents (in other words, a decimal point and up to two digits after the decimal point). ChatGPT responded by explaining a two-step fix, posting the modified code, and then explaining the changes. "I dropped ChatGPT's code into my function, and it worked. Instead of about two-to-four hours of hair-pulling, it took about five minutes to come up with the prompt and get an answer from ChatGPT." Next up was reformatting an array. I like doing array code, but it's also tedious. So, I once again tried ChatGPT. This time the result was a total failure. By the time I was done, I probably fed it 10 different prompts. Some responses looked promising, but when I tried to run the code, it errored out. Some code crashed; some code generated error codes. And some code ran, but didn't do what I wanted. After about an hour, I gave up and went back to my normal technique of digging through GitHub and StackExchange to see if there were any examples of what I was trying to do, and then writing my own code.
Then he posted the code for a function handling a Wordpress filter, along with the question: "I get the following error. Why?" Within seconds, ChatGPT responded... Just as it suggested, I updated the fourth parameter of the add_filter() function to 2, and it worked!

ChatGPT took segments of code, analyzed those segments, and provided me with a diagnosis. To be clear, in order for it to make its recommendation, it needed to understand the internals of how WordPress handles hooks (that's what the add_filter function does), and how that functionality translates to the behavior of the calling and the execution of lines of code. I have to mark that achievement as incredible — undeniably 'living in the future' incredible...

As a test, I also tried asking ChatGPT to diagnose my problem in a prompt where I didn't include the handler line, and it wasn't able to help. So, there are very definite limitations to what ChatGPT can do for debugging right now, in 2023...

Could I have fixed the bug on my own? Of course. I've never had a bug I couldn't fix. But whether it would have taken two hours or two days (plus pizza, profanity, and lots of caffeine), while enduring many interruptions, that's something I don't know. I can tell you ChatGPT fixed it in minutes, saving me untold time and frustration.
The article does include a warning. "AI is essentially a black box, you're not able to see what process the AI undertakes to come to its conclusions. As such, you're not really able to check its work... If it turns out there is a problem in the AI-generated code, the cost and time it takes to fix may prove to be far greater than if a human coder had done the full task by hand."

But it also ends with this prediction. "I see a very interesting future, where it will be possible to feed ChatGPT all 153,000 lines of code and ask it to tell you what to fix... I can definitely see a future where programmers can simply ask ChatGPT (or a Microsoft-branded equivalent) to find and fix bugs in entire projects."

"The gap between C# and Java never has been so small," according to October's update for TIOBE's "Programming Community Index".

"Currently, the difference is only 1.2%, and if the trends remain this way, C# will surpass Java in about 2 month's time." Java shows the largest decline of -3.92% and C# the largest gain of +3.29% of all programming languages (annually).

The two languages have always been used in similar domains and thus have been competitors for more than 2 decades now. Java's decline in popularity is mainly caused by Oracle's decision to introduce a paid license model after Java 8. Microsoft took the opposite approach with C#. In the past, C# could only be used as part of commercial tool Visual Studio. Nowadays, C# is free and open source and it's embraced by many developers.

There are also other reasons for Java's decline. First of all, the Java language definition has not changed much the past few years and Kotlin, its fully compatible direct competitor, is easier to use and free of charge.
"Java remains a critical language in enterprise computing," argues InfoWorld, "with Java 21 just released last month and Java 22 due next March. And free open source binaries of Java still are available via OpenJDK." InfoWorld also notes TIOBE's ranking is different than other indexes. TIOBE's top 10:

1. Python (14.82%)
2. C (12.08%)
3. C++ (10.67%)
4. Java (8.92%)
5. C# (7.71%)
6. JavaScript (2.91%)
7. Visual Basic (2.13%)
8. PHP (1.9%)
9. SQL (1.78%)
10. Assembly (1.64%)

And here's the Pypl Popularity of Programming Language (based on searches for language tutorials on Google):

1. Python, with a 28.05% share
2. Java (15.88%)
3. JavaScript (9.27%)
4. C# (6.79%)
5. C/C++ (6.59%)
6. PHP (4.86%)
7. R (4.45%)
8. TypeScript (2.93%)
9. Swift (2.69%)
10. Objective-C (2.29%)

An anonymous reader quotes a report from AppleInsider: Having been created on a Mac in the 1980s, LabView has now announced that its latest macOS update will be the final release for the platform. LabView is a visual programming language tool that lets users connect virtual measurement equipment together to input and process data. AppleInsider staffers have seen it used across a variety of industries and applications to help design a complex monitoring system, or automate a test sequence.

It's been 40 years since Dr James Truchard and Jeff Kodosky began work on it and founded their firm, National Instruments. The first release of the software was in October 1986 where it was a Mac exclusive. In a 2019 interview, Jeff Kodosky said this was because "it was the only computer that had a 32-bit operating system, and it had the graphics we needed." Now National Instruments has told all current users that they have released an updated Mac version -- but it will be the last.

National Instruments says it will cease selling licenses for the Mac version in March 2024, and will also stop support. LabView has also been sold as a subscription and National Instruments says it will switch users to a "perpetual licesse for your continued use," though seemingly only if specifically requested. As yet, there have been few reactions on the NI.com forums. However, one post says "This came as a shocker to us as the roadmap still indicates support." National Instruments says LabVIEW "will continue to be available on Windows and Linux OSes."

Tom Singleton reports via the BBC: A man got so fed up with foxes and badgers fouling in his garden that he adapted cameras to help repel them. James Milward linked the Ring cameras at his Surrey home to a device that emits high frequency sounds. He then trained the system using hundreds of images of the nocturnal nuisances so it learned to trigger the noise when it spotted them. Mr Milward said it "sounds crazy" but the gadget he called the Furbinator 3000 has kept his garden clean.

Getting the camera system to understand what it was looking at was not straightforward though. "At first it recognised the badger as an umbrella," he said. "I did some fine tuning and it came out as a sink, or a bear if I was lucky. Pretty much a spectacular failure." He fed in pictures of the animals through an artificial intelligence process called machine learning and finally, the device worked. The camera spotted a badger, and the high frequency sound went off to send the unwanted night-time visitor on its way and leave the garden clean for Mr Milward's children to play in. The code for the Furbinator 3000 is open source, with detailed instructions available in Milward's Medium post.

Thomas Claburn reports via The Register: Microsoft has stopped developing VBScript after a 27-year relationship and plans to remove the scripting language entirely in a future Windows release. The Windows biz said on Monday that VBScript, short for Visual Basic Scripting Edition, has been deprecated in an update to its list of "Deprecated features for Windows client." "VBScript is being deprecated," Microsoft said. "In future releases of Windows, VBScript will be available as a feature on demand before its removal from the operating system."

VBScript debuted in 1996 and its most recent release, version 5.8, dates back to 2010. It is a scripting language, and was for a while widely used among system administrators to automate tasks until it was eclipsed by PowerShell, which debuted in 2006. "Microsoft Visual Basic Scripting Edition brings active scripting to a wide variety of environments, including Web client scripting in Microsoft Internet Explorer and Web server scripting in Microsoft Internet Information Service," Redmond explains in its help documentation. Unfortunately, Microsoft never managed to get other browser makers to support VBScript, so outside of Microsoft-exclusive environments, web developers tended to favor JavaScript for client-side tasks.

"OpenAI has unveiled the Beta version of its Python SDK," reports Analytics India Magazine, "marking a significant step towards enhancing access to the OpenAI API for Python developers." The OpenAI Python library offers a simplified way for Python-based applications to interact with the OpenAI API, while providing an opportunity for early testing and feedback before the official launch of version 1.0. It streamlines the integration process by providing pre-defined classes for API resources, dynamically initialising from API responses, ensuring compatibility across various OpenAI API versions...

Developers can find comprehensive documentation and code examples in the OpenAI Cookbook for various tasks, including classification, clustering, code search, customising embeddings, question answering, recommendations, visualisation of embeddings, and more...

This comes just weeks before OpenAI's first developer conference, OpenAI DevDay.
More details in OpenAI's official announcement at PyPi.org.

Long-time Slashdot reader theodp writes: "42 states to go!" exclaimed Code.org to its 1+ million Twitter followers as it celebrated victorious efforts to pass legislation making North Carolina the 8th state to pass a high school computer science graduation requirement, bringing the tech-backed nonprofit a step closer to its goal of making CS a requirement for a HS diploma in all 50 states. But as states make good on pledges made to tech CEOs to make their schoolchildren CS savvy, Education Week cautions that K-12 CS has a big certified teacher shortage problem.
From the article: When trying to ensure all students get access to the knowledge they need for college and careers, sometimes policy can get ahead of teacher capacity. Computer science is a case in point. As of 2022, every state in the nation has passed at least one law or policy intended to promote K-12 computer science education, and 53 percent of high schools offered basic computer science courses that year, according to the nonprofit advocacy group Code.org."

"'There's big money behind making [course offerings] go up higher and faster,' thanks to federal and state grants as well as private foundations, said Paul Bruno, an assistant professor of education policy, organization, and leadership at the University of Illinois Urbana-Champaign. "But then that raises the question, well, who are we getting to teach these courses...?"

Bruno's work in states such as California and North Carolina suggests that few of those new computer science classes are staffed with teachers who are certified in that subject."

"Python 3 was by far the choice over Python 2 in a late-2022 survey of more than 23,000 Python developers," reports InfoWorld, "but the percentage of respondents using Python 2 actually ticked up compared to the previous year." Results of the sixth annual Python Developers Survey, conducted by the Python Software Foundation and software tools maker JetBrains, were released September 27. The Python Developers Survey 2022 report indicates that 93% of respondents had adopted Python 3, while only 7% were still using Python 2. In the 2021 survey, though, 95% used Python 3 while 5% used Python 2. In 2020, Python 3 held a 94% to 6% edge. Dating back to 2017, 75% used Python 3 and 25% used Python 2...

The 2022 report said 29% of respondents still use Python 2 for data analysis, 24% use Python 2 for computer graphics, and 23% used Python 2 for devops. The survey also found that 45% of respondents are still using Python 3.10, which arrived two years ago, while just 2% still use Python 3.5 or lower. (Python 3.11 was released October 24, 2022, right when the survey was being conducted.)
Other findings from the survey:

• 21% said they used Python for work only, while 51% said they used it for work and personal/educational use or side projects, and 21% said they used Python only for personal projects.

• 85% of respondents said Python was their main language (rather than a secondary language).

• The survey also gives the the top "secondary languages" for the surveyed Python developers as JavaScript (37%), HTML/CSS (37%), SQL (35%), Bash/Shell (32%), and then C/C++ (27%).

• When asked what they used Python for most, 22% said "Web Development", 18% said "Data Analysis," 12% said "Machine Learning," and 10% said "DevOps/System Administration/Writing Automation Scripts."