Adam Geitgey: Exif metadata is not a native part of the Jpeg file format. It was an afterthought taken from the TIFF file format and tacked onto the Jpeg file format much later. This maintained backwards compatibility with old image viewers, but it meant that some programs never bothered to parse Exif data. Most Python libraries for working with image data like numpy, scipy, TensorFlow, Keras, etc, think of themselves as scientific tools for serious people who work with generic arrays of data. They don't concern themselves with consumer-level problems like automatic image rotation -- even though basically every image in the world captured with a modern camera needs it. This means that when you load an image with almost any Python library, you get the original, unrotated image data. And guess what happens when you try to feed a sideways or upside-down image into a face detection or object detection model? The detector fails because you gave it bad data. You might think this problem is limited to Python scripts written by beginners and students, but that's not the case! Even Google's flagship Vision API demo doesn't handle Exif orientation correctly. And while Google Vision still manages to detect some of the animals in the sideways image, it detects them with a non-specific "Animal" label. This is because it is a lot harder for a model to detect a sideways goose than an upright goose.

The Monty Python character known as the Gumby would often be found saying "My brain hurts". Now Reuters reports: In what is billed as an "extremely silly" event, hordes of Monty Python fans will gather in full Gumby attire in London on Saturday to celebrate the British comedy troupe's 50th anniversary. Kitted out in rubber boots, sleeveless sweaters, rolled-up trousers and with knotted handkerchiefs on their heads, they will attempt to set a Guinness World Record for the Largest Gathering of People Dressed as Gumbys. "It's all so excitingly pointless," said Python Terry Gilliam, who will host the event.
Meanwhile, the Guardian reports on recently-rediscovered documents from the BBC's archives about the show's launch in 1969: The BBC response, the archives make clear, was far less positive. At the weekly meeting where senior managers discussed the output, the head of factual had found Python "disgusting", arts had thought it "nihilistic and cruel", while religion objected to a Gilliam animation in which "Jesus... had swung his arm". The BBC One controller sensed the makers "continually going over the edge of what is acceptable".
The Guardian also tracked down 69-year-old Doug Holman who remembers John Cleese giving him tickets to watch a filming of the show when he was 19. ("Doug, boldly, writes back, saying he is part of a large group of friends who want to go. Cleese contacts the BBC to request a further 14 tickets...")

50 years later, Holman seems to remember the filming as being wonderfully chaotic. "There was a restaurant scene but I think the producer abandoned it when Cleese -- seemingly unhappy about having no lines -- disrupted each take by performing random Tourette-like impressions of a mouse being strangled by a psychotic cat. I remember it being total anarchy yet excruciatingly funny, in the literal sense. We all experienced genuine pain from extended bouts of uncontrollable laughter."

An anonymous reader quotes ZDNet: Microsoft has launched a new 44-part series called Python for Beginners on YouTube, consisting of three- to four-minute lessons from two self-described geeks at Microsoft who love programming and teaching.

The course isn't quite for total beginners as it assumes people have done a little programming in JavaScript or played around with the MIT-developed Scratch visual programming language aimed at kids. But it could help beginners kick-start ambitions to build machine-learning apps, web applications, or automate processes on a desktop.... It has published a page on GitHub containing additional resources, including slides and code samples to help students become better at Python.

In 107 days, Python 2 -- first released in 2000 -- will officially sunset, according to an announcement this week by "volunteers who make and take care of the Python programming language."

But according to TechRepublic, not everybody is ready: Given Python's popularity and ubiquity, the amount of business logic hinging on Python is quite vast, presenting an issue for organizations still clinging to Python 2. JPMorgan's Athena trading platform is one of those applications -- while access has only been available directly to clients since 2018, the Athena platform is used internally at JPMorgan for pricing, trading, risk management, and analytics, with tools for data science and machine learning. This extensive feature set utilizes over 150,000 Python modules, over 500 open source packages, and 35 million lines of Python code contributed by over 1,500 developers, according to data presented by Misha Tselman, executive director at J.P. Morgan Chase in a talk at PyData 2017.

Migrating 35 million lines of code from Python 2 to Python 3 is quite the undertaking -- and JPMorgan is going to miss the deadline, according to eFinancialCareers, stating that JPMorgan's roadmap puts "most strategic components" compatible with Python 3 by the end of Q1 2020 -- that is, three months after the end of security patches -- with "all legacy Python 2.7 components" planned for compatibility with Python 3 by Q4 2020.

Modern developer practices are needed to maintain a project of this scale -- fortunately, JPMorgan uses Continuous Delivery, with 10,000 to 15,000 production changes per week, according to Tselman.
The eFinancialCareers site argues that banks "have been dragging their feet," adding that JPMorgan is not the only bank that still hasn't migrated to Python 3.

The Python volunteers are pointing concerned individuals to the Python 2.7 Countdown Clock, and their announcement also links to a list of support and migration vendors, adding "If you can pay to hire someone to help you, post on the job board or hire a consultant. If you need free help from volunteers, look at this help page."

XKCD cartoonist Randall Munroe says he received "a huge number of submissions" in a contest to choose an additional city for his upcoming book tour. The challenge? "Write the best story using nothing but book covers... You'll get extra credit for including as many books and people as possible." And the winning entry involved 98 people in an earnest community project featuring Alaskans young and old, in a series of four YouTube videos that lasts nearly three minutes. ("Listen to me. This idea is brilliant. Stop staring at screens. If you love me, get a life...!")

Munroe applauded their efforts in a blog post announcing their winning entry. I'm a sucker for (a) public libraries, and (b) people who get so excited about glaciers that they lose their train of thought."
Several runners-up will receive a personalized drawing of their bookstore or library -- or a signed book. Runners up include the Content Bookstore in Northfield, Minnesota, who assembled over 60 people for a story in the form of a choose-your-own adventure flowchart. And Naitian Zhou of Ann Arbor, Michigan built an interactive tool that generates arbitrary grammatical sentences by running a database of book titles through Python language tools. ("Don't judge a book by its cover," jokes its web page. "Judge it by its linguistic productivity instead!")

The How To book tour starts on September 3rd in Cambridge, and Munroe says "I'll be appearing in conversation with some very cool people, including researchers, journalists, and cartoonists. We'll be discussing How To, science, comics, the destruction of the universe, and the ethics of hitting drones with tennis balls."

Python's End-of-Life date is 129 days away, warns the UK National Cyber Security Centre (NCSC). "There will be no more bug fixes, or security updates, from Python's core developers."

An anonymous reader quotes ZDNet: The UK's cyber-security agency warned developers Thursday to consider moving Python 2.x codebases to the newer 3.x branch due to the looming end-of-life of Python 2, scheduled for January 1, 2020... "If you continue to use unsupported modules, you are risking the security of your organisation and data, as vulnerabilities will sooner or later appear which nobody is fixing."

"If you maintain a library that other developers depend on, you may be preventing them from updating to 3," the agency added. "By holding other developers back, you are indirectly and likely unintentionally increasing the security risks of others... If migrating your code base to Python 3 is not possible, another option is to pay a commercial company to support Python 2 for you," the NCSC said.

The agency warns that companies who don't invest in migrating their Python 2.x code might end up in the same position as Equifax or the WannaCry victims. "At the NCSC we are always stressing the importance of patching. It's not always easy, but patching is one of the most fundamental things you can do to secure your technology," the agency said. "The WannaCry ransomware provides a classic example of what can happen if you run unsupported software," it said. "By making the decision to continue using Python 2 past its end of life, you are accepting all the risks that come with using unsupported software, while knowing that a secure version is available."

This week from 63-year-old Python creator Guido van Rossum shared some interesting stories with ZDNet's senior reporter Nick Heath: While sharing software with the world today only takes a few clicks, in the 1980s it was an altogether more laborious affair, with van Rossum recalling the difficulties of trying to distribute Python precursor ABC. "I remember around '85, going on a vacation trip to the US, my first ever visit to the US, with a magnetic tape in my luggage," says van Rossum. Armed with addresses and phone numbers of people who had signalled an interest in ABC via the rudimentary email system available at the time -- which wasn't suited to handling anything as large as source code -- he travelled door-to-door posting the tapes. Despite this effort, ABC didn't really take off. "So, no wonder we didn't get very far with the distribution of ABC, despite all its wonderful properties," he says.

But as the internet revolution gathered steam, it would be much easier to distribute Python without a suitcase full of tapes. Van Rossum released Python to the world via the alt.sources newsgroup in 1991, under what was pretty much an open-source licence, six years before the term was first coined. While Python interpreter still had to be joined together into a compressed file from 21 separate parts and downloaded overnight on the Usenet network, it was still a vastly more efficient delivery mechanism than the hand deliveries of a few years earlier.
Guido also shared some new comments on why he stepped down as Python's Benevolent Dictator for Life: "I was very disappointed in how the people who disagreed technically went to social media and started ranting that the decision process was broken, or that I was making a grave mistake. I felt attacked behind my back," he says. "In the past, it had always been clear that if there were a decision to be made about a change in the language or an improved feature, a whole bunch of core developers would discuss the pros and cons of the thing. Either a clear consensus would appear or, if it was not so clear, I would mull it over in my head and decide one way or another. With PEP572, even though it was clearly controversial, I chose 'Yes, I want to do this', and people didn't agree to disagree.

"It wasn't exactly a revolt, but I felt that I didn't have the trust of enough of the core developer community to keep going."

He thinks the change in how disputes about the language play out is partly a result of how many people use Python today. "It's probably also the fact that the Python community is so much larger. It's harder to reach any form of consensus, of course, because there's always fringe dissidents, no matter which way you decide." Earlier this year, Python core developers -- those who work on maintaining and updating Python's reference CPython interpreter -- elected a steering council to oversee the future of the language. Van Rossum was elected, alongside Warsaw and fellow core developers Brett Cannon, Carol Willing, and Nick Coghlan.

An anonymous reader quotes a report from Ars Technica: The Electron development platform is a key part of many applications, thanks to its cross-platform capabilities. Based on JavaScript and Node.js, Electron has been used to create client applications for Internet communications tools (including Skype, WhatsApp, and Slack) and even Microsoft's Visual Studio Code development tool. But Electron can also pose a significant security risk because of how easily Electron-based applications can be modified without triggering warnings. At the BSides LV security conference on Tuesday, Pavel Tsakalidis demonstrated a tool he created called BEEMKA, a Python-based tool that allows someone to unpack Electron ASAR archive files and inject new code into Electron's JavaScript libraries and built-in Chrome browser extensions. The vulnerability is not part of the applications themselves but of the underlying Electron framework -- and that vulnerability allows malicious activities to be hidden within processes that appear to be benign. Tsakalidis said that he had contacted Electron about the vulnerability but that he had gotten no response -- and the vulnerability remains.

While making these changes required administrator access on Linux and MacOS, it only requires local access on Windows. Those modifications can create new event-based "features" that can access the file system, activate a Web cam, and exfiltrate information from systems using the functionality of trusted applications -- including user credentials and sensitive data. In his demonstration, Tsakalidis showed a backdoored version of Microsoft Visual Studio Code that sent the contents of every code tab opened to a remote website. The problem lies in the fact that Electron ASAR files themselves are not encrypted or signed, allowing them to be modified without changing the signature of the affected applications. A request from developers to be able to encrypt ASAR files was closed by the Electron team without action.

The last RHEL release, RHEL 7.7, is now available for current Red Hat Enterprise Linux subscribers via the Red Hat Customer Portal. ZDNet reports on what's new: RHEL 7.7's most important updates are support for the latest generation of enterprise hardware and remediation for the recently disclosed ZombieLoad vulnerabilities. The latest RHEL 7 also includes network stack performance enhancements. With this release, you can offload virtual switching operations to network interface card (NIC) hardware. What that means for you is, if you're using virtual switching and network function virtualization (NFV), you'll see better network performance on cloud and container platforms such as Red Hat OpenStack Platform and Red Hat OpenShift.

RHEL 7.7 users can also use Red Hat's new predictive problem shooter: Red Hat Insights. This uses a software-as-a-service (SaaS)-based predictive analytics approach to spot, assess, and mitigate potential problems to their systems before they can cause trouble. For developers, RHEL 7.7 comes with Python 3.6 interpreter, and the pip and setup tools utilities. Previously, Python 3 versions were available only as a part of Red Hat Software Collections. Moving on to the cloud, RHEL 7.7 Red Hat Image Builder is now supported. This feature, which is also in RHEL 8, enables you to easily create custom RHEL system images for cloud and virtualization platforms such as Amazon Web Services (AWS), VMware vSphere, and OpenStack. To help cloud-native developers, RHEL 7.7 includes full support for Red Hat's distributed-container toolkit -- buildah, podman, and skopeo -- on RHEL workstations. After building on the desktop, programmers can use Red Hat Universal Base Image to build, run, and manage containerized applications across the hybrid cloud.

Long-time Slashdot reader mejustme shared this report from Hackaday: If you have an opinion about C++, chances are you either love it for its extensiveness and versatility, or you hate it for its bloated complexity and would rather stick to alternative languages on both sides of the spectrum. Either way, here's your chance to form a new opinion about the language. The C++ standard committee has recently gathered to work on finalizing the language standard's newest revision, C++20, deciding on all the new features that will come to C++'s next major release.

After C++17, this will be the sixth revision of the C++ standard, and the language has come a long way from its "being a superset of C" times. Frankly, when it comes to loving or hating the language, I haven't fully made up my own mind about it yet. My biggest issue with it is that "programming in C++" can just mean so many different things nowadays, from a trivial "C with classes" style to writing code that will make Perl look like prose. C++ has become such a feature-rich and downright overwhelming language over all these years, and with all the additions coming with C++20, things won't get easier. Although, they also won't get harder. Well, at least not necessarily. I guess? Well, it's complex, but that's simply the nature of the language...

From better type checking and compiler errors messages to Python-like string handling and plans to replace the #include system, there's a lot at play here!
The article mentions coroutines, the spaceship operator for three-way comparisons, and "a bunch of additions to lambda expressions," as well as a new keyword constinit and removing limitations on the usage of constexpr.

And in addition, "ranges are the new iterators" and concepts "have graduated from being an experimental feature to a full-fledged part of the language standard, allowing the addition of semantic constraints to templates, and ultimately making generic programming a hint more specific."

An anonymous reader quotes The Verge's AI and Robotics reporter: By scanning huge datasets of text, machine learning software can produce convincing samples of everything from short stories to song lyrics. Now, those same techniques are being applied to the world of coding with a new program called Deep TabNine, a "coding autocompleter." Programmers can install it as an add-on in their editor of choice, and when they start writing, it'll suggest how to continue each line, offering small chunks at a time. Think of it as Gmail's Smart Compose feature but for code.

Jacob Jackson, the computer science undergrad at the University of Waterloo who created Deep TabNine, says this sort of software isn't new, but machine learning has hugely improved what it can offer... Earlier this month, he released an updated version that uses a deep learning text-generation algorithm called GPT-2, which was designed by the research lab OpenAI, to improve its abilities. The update has seriously impressed coders, who have called it "amazing," "insane," and "absolutely mind-blowing" on Twitter...

Deep TabNine is trained on 2 million files from coding repository GitHub. It finds patterns in this data and uses them to suggest what's likely to appear next in any given line of code, whether that's a variable name or a function... Most importantly, thanks to the analytical abilities of deep learning, the suggestions Deep TabNine makes are of a high overall quality. And because the software doesn't look at users' own code to make suggestions, it can start helping with projects right from the word go, rather than waiting to get some cues from the code the user writes.
It's not free software. Currently a personal license costs $49 (with a business-use license costing $99), the Verge reports -- but the tool supports the following 22 languages...

Python, JavaScript, Java, C++, C, PHP, Go, C#, Ruby, Objective-C, Rust, Swift, TypeScript, Haskell, OCaml, Scala, Kotlin, Perl, SQL, HTML, CSS, and Bash.

An anonymous reader quotes LWN: Python 3.8 is feature complete at this point, which makes it a good time to see what will be part of it when the final release is made. That is currently scheduled for October, so users don't have that long to wait to start using those new features.

The headline feature for Python 3.8 is also its most contentious. The process for deciding on Python Enhancement Proposal (PEP) 572 ("Assignment Expressions") was a rather bumpy ride that eventually resulted in a new governance model for the language. That model meant that a new steering council would replace longtime benevolent dictator for life (BDFL) Guido van Rossum for decision-making, after Van Rossum stepped down in part due to the "PEP 572 mess".

Out of that came a new operator, however, that is often called the "walrus operator" due to its visual appearance. Using ":=" in an if or while statement allows assigning a value to a variable while testing it... It is a feature that many other languages have, but Python has, of course, gone without it for nearly 30 years at this point. In the end, it is actually a fairly small change for all of the uproar it caused.

Mozilla is funding a project for bringing the Julia programming language to Firefox and the general browser environment. From a report: The project received funding part of the Mozilla Research Grants for the first half of 2019, which the browser maker announced on Friday. In April, when Mozilla opened this year's submissions period for research grants, the organization said it was looking for a way to bring data science and scientific computing tools to the web. It said it was specifically interested in receiving submissions about supporting R or Julia at the browser level. Both R and Julia are programming languages designed for high-performance numerical, statistical, and computational science.

Mozilla engineers have worked in previous years to port data science tools at the browser level, as part of Project Iodide. Previously, as part of this project, Mozilla engineers ported the Python interpreter to run in the browser using WebAssembly. "This project, Pyodide, has demonstrated the practicality of running language interpreters in WebAssembly," Mozilla engineers said.

An anonymous reader quotes a report from Motherboard: The Oregon Department of Corrections has banned prisoners from reading a number of books related to technology and programming, citing concerns about security. According to public records obtained by the Salem Reporter, the Oregon Department of Corrections has banned dozens of books related to programming and technology as they come through the mail room, ensuring that they don't get to the hands of prisoners. At least in official department code, there is no blanket ban on technology-related books. Instead, each book is individually evaluated to assess potential threats. Many programming-related books are cited as "material that threatens," often including the subject matter ("computer programming") as justification. The Oregon Department of Corrections (DOC) worries that prisoners could use the tools mentioned in some of the programming-related books to compromise their systems. But what's odd is the scope of the ban. Justin Seitz's Black Hat Python book failed the prison's security test since it's geared towards hacking, but so did the book Windows 10 for Dummies, Microsoft Excel 16 for Dummies which simply teaches proficiency in Excel and Windows 10.

Officials at the DOC argue that knowledge of even these basic programs can pose a threat to prisons. "Not only do we have to think about classic prison escape and riot efforts like digging holes, jumping fences and starting fires, modernity requires that we also protect our prisons and the public against data system breaches and malware," DOC spokesperson Jennifer Black said in an emailed statement. "It is a balancing act we are actively trying to achieve."

"JetBrains released its State of Developer Ecosystem 2019 report, which found while Java is still the most popular primary language and JavaScript is the most used overall, Python is gaining speed," reports SD Times: The report surveyed about 7,000 developers worldwide, and revealed Python is the most studied programming language, the most loved language, and the third top primary programming language developers are using... The top use cases developers are using Python for include data analysis, web development, machine learning and writing automation scripts, according to the JetBrains report. More developers are also beginning to move over to Python 3, with 9 out of 10 developers using the current version.

The JetBrains report also found while Go is still a young language, it is the most promising programming language. "Go started out with a share of 8% in 2017 and now it has reached 18%. In addition, the biggest number of developers (13%) chose Go as a language they would like to adopt or migrate to," the report stated...

Seventy-three percent of JavaScript developers use TypeScript, which is up from 17 percent last year. Seventy-one percent of Kotlin developers use Kotlin for work. Java 8 is still the most popular programming language, but developers are beginning to migrate to Java 10 and 11.
JetBrains (which designed Kotlin in 2011) also said that 60% of their survey's respondents identified themselves as professional web back-end developers (while 46% said they did web front-end, and 23% developed mobile applications). 41% said they hadn't contributed to open source projects "but I would like to," while 21% said they contributed "several times a year."

"16% of developers don't have any tests in their projects. Among fully-employed senior developers though, that statistic is just 8%. Like last year, about 30% of developers still don't have unit tests in their projects." Other interesting statistics:

• 52% say they code in their dreams.

• 57% expect AI to replace developers "partially" in the future.

• "83% prefer the Dark theme for their editor or IDE. This represents a growth of 6 percentage points since last year for each environment.

• 47% take public transit to work.

And 97% of respondents using Rust "said they have been using Rust for less than a year. With only 14% using it for work, it's much more popular as a language for personal/side projects." And more than 90% of the Rust developers who responded worked with codebases with less than 300 files.

Python reached another new all-time high on the TIOBE index, now representing 8.5% of the results for the search query +"<language> programming" on the top 25 search engines. Python overtook C++ this month for the #3 spot, now placing behind only Java (#1) and C (#2).

That's prompted TIOBE to make a bold prediction: If Python can keep this pace, it will probably replace C and Java in 3 to 4 years time, thus becoming the most popular programming language of the world.

The main reason for this is that software engineering is booming. It attracts lots of newcomers to the field. Java's way of programming is too verbose for beginners. In order to fully understand and run a simple program such as "hello world" in Java you need to have knowledge of classes, static methods and packages. In C this is a bit easier, but then you will be hit in the face with explicit memory management. In Python this is just a one-liner. Enough said.
InfoWorld reports: Also on the rise in the June Tiobe index, Apple's Swift language is ranked 11th, with a rating of 1.419 percent. Swift was ranked 15th at this time last year and 18th last month, while its predecessor Objective-C language ranked 12th this month with a rating of 1.391. Tiobe expects Objective-C to drop out of the top 20 within two years.
InfoWorld also notes that Python is already #1 in the Pypl index, which analyes how often language tutorials are searched for on Google. On that list, Python is followed by Java, JavaScript, C#, PHP, and then C/C++.

Python was also TIOBE's fastest-rising language in 2018 -- though in 2017 that honor went to C, and in 2015 to Java...

"Learn to build quantum algorithms from the ground up with a quantum computer simulated in your browser," suggests a new online course.

"The very concept of a quantum computer can be daunting, let alone programming it, but Microsoft thinks it can offer a helping hand," reports Engadget: Microsoft is partnering with Alphabet's X and Brilliant on an online curriculum for quantum computing. The course starts with basic concepts and gradually introduces you to Microsoft's Q# language, teaching you how to write 'simple' quantum algorithms before moving on to truly complicated scenarios. You can handle everything on the web (including quantum circuit puzzles), and there's a simulator to verify that you're on the right track.
The course "features Q# programming exercises with Python as the host language," explains Microsoft's press release.

The course's web page promises that by the end of the course, "you'll know your way around the world of quantum information, have experimented with the ins and outs of quantum circuits, and have written your first 100 lines of quantum code -- while remaining blissfully ignorant about detailed quantum physics."

A post this week on Microsoft's developer blog explains "what we, the Python team, have done to make Python easier to install on Windows" after the next update.

TLDR: Typing 'python' in Windows' Command Prompt will take you to the Microsoft Store's Python page: Microsoft has been involved with the Python community for over twelve years, and currently employ four of the key contributors to the language and primary runtime. The growth of Python has been incredible, as it finds homes among data scientists, web developers, system administrators, and students, and roughly half of this work is already happening on Windows. And yet, Python developers on Windows find themselves facing more friction than on other platforms. It's been widely known for many years that Windows is the only mainstream operating system that does not include a Python interpreter out of the box... So we made things easier.

First, we helped the community release their distribution of Python to the Microsoft Store. This version of Python is fully maintained by the community, installs easily on Windows 10, and automatically makes common commands such as python, pip and idle available (as well as equivalents with version numbers python3 and python3.7, for all the commands, just like on Linux). Finally, with the May 2019 Windows Update, we are completing the picture. While Python continues to remain completely independent from the operating system, every install of Windows will include python and python3 commands that take you directly to the Python store page. We believe that the Microsoft Store package is perfect for users starting out with Python, and given our experience with and participation in the Python community we are pleased to endorse it as the default choice.
And while this fix is only for Python, the Microsoft post adds that "Over time, we plan to extend similar integration to other developer tools and reduce the getting started friction."

As automation changes the way factories operate, some U.S. companies are training workers in programming and robotics, letting machinists get a taste of coding. From a report: Competition from China was among the reasons Drew Greenblatt, chief executive of manufacturing firm Marlin Steel Wire Products, purchased $2 million worth of robots in the past 15 months. The Baltimore-based maker of wire baskets is training employees on operating the robots and using laser-cutting software. The company's machinists develop code so robots can make parts to specifications, replacing several workers who physically created parts. Other employees use collaborative software to interact with customers on real-time design changes, helping the company manufacture higher-quality steel products, charge more for them and create unique intellectual property, he said. Marlin Steel is on track to generate $8 million in revenue this year, up from about $5 million the previous year.

[...] Radwell International, a manufacturing and repair firm based in Willingboro, N.J., identified workers with an aptitude for learning and decent knowledge of processes and systems and trained them in skills such as programming on Visual Basic to build software tools to handle tasks like purchasing. Radwell IT staff who learned Python, a programming language used widely in artificial intelligence and data science, built an AI system to sort incoming parts. The system helps recognize parts based on rough contours, differentiating a circuit breaker from a motor. The staff is now developing a machine-vision-based AI system to recognize parts. Employees are also being trained on manufacturing techniques like 3-D printing to make replacement parts for customers.

An anonymous reader writes: At its Build 2018 developer conference a year ago, Microsoft previewed Visual Studio IntelliCode, which uses AI to offer intelligent suggestions that improve code quality and productivity. In April, Microsoft launched Visual Studio 2019 for Windows and Mac. At that point, IntelliCode was still an optional extension that Microsoft was openly offering as a preview. But at Build 2019 earlier this month, Microsoft shared that IntelliCode's capabilities are now generally available for C# and XAML in Visual Studio 2019 and for Java, JavaScript, TypeScript, and Python in Visual Studio Code. Microsoft also now includes IntelliCode by default in Visual Studio 2019. IntelliCode has come a long way since May 2018, but Microsoft is only getting started. When it comes to using AI to aid developers, the company wants to help at every step of the way, according to Amanda Silver, a director of Microsoft's developer division.

"If you look at the entire application developer lifecycle, from code review to testing to continuous integration, and so on, there are opportunities at every single stage for machine learning to help," Silver told VentureBeat. "IntelliCode is, very broadly, the notion that we want to take artificial intelligence -- and really machine learning techniques -- and allow that to make developers and development teams more productive. "IntelliCode is really only at the early stages -- authoring and helping to focus code reviews. But over time, we really think that we can apply it to the entire application developer lifecycle."