Nerval's Lobster writes: Many programming languages have come and gone since Dennis Ritchie devised C in 1972, and yet C has not only survived three major revisions, but continues to thrive. But aside from this incredible legacy, what keeps C atop the Tiobe Index? The number of jobs available for C programmers is not huge, and many of those also include C++ and Objective-C. On Reddit, the C community, while one of the ten most popular programming communities, is half the size of the C++ group. In a new column, David Bolton argues that C remains extremely relevant due to a number of factors including newer C compiler support, the Internet ("basically driven by C applications"), an immense amount of active software written in C that's still used, and its ease in learning. "Knowing C provides a handy insight into higher-level languages — C++, Objective-C, Perl, Python, Java, PHP, C#, D and Go all have block syntax that's derived from C." Do you agree?

Nerval's Lobster writes: What programming language will earn you the biggest salary over the long run? According to Quartz, which relied partially on data compiled by employment-analytics firm Burning Glass and a Brookings Institution economist, Ruby on Rails, Objective-C, and Python are all programming skills that will earn you more than $100,000 per year. But salary doesn't necessarily correlate with popularity. Earlier this year, for example, tech-industry analyst firm RedMonk produced its latest ranking of the most-used languages, and Java/JavaScript topped the list, followed by PHP, Python, C#, and C++/Ruby. Meanwhile, Python was the one programming language to appear on Dice's recent list of the fastest-growing tech skills, which is assembled from mentions in Dice job postings. Python is a staple language in college-level computer-science courses, and has repeatedly topped the lists of popular programming languages as compiled by TIOBE Software and others. Should someone learn a language just because it could come with a six-figure salary, or are there better reasons to learn a particular language and not others?

An anonymous reader writes: Anyone with even a passing interest in the sciences must have wondered what it's like to work at the European Organization for Nuclear Research, better known as CERN. What's it like working in the midst of such concentrated brain power? South African physicist Claire Lee, who works right on ATLAS – one of the two elements of the LHC project that confirmed the existence of the Higgs boson in 2012 — explains what a day in the life of a CERN worker entails. She says, "My standard day is usually comprised of some mix of coding and attending meetings ... There are many different types of work one can do, since I am mostly on analysis this means coding, in C++ or Python — for example, to select a particular subset of events that I am interested in from the full set of data. This usually takes a couple of iterations, where we slim down the dataset at each step and calculate extra quantities we may want to use for our selections.

The amount of data we have is huge – petabytes of data per year stored around the world at various high performance computing centers and clusters. It’s impossible to have anything but the smallest subset available locally – hence the iterations – and so we use the LHC Computing Grid (a specialized worldwide computer network) to send our analysis code to where the data is, and the code runs at these different clusters worldwide (most often in a number of different places, for different datasets and depending on which clusters are the least busy at the time)."

kxra writes With the latest developments, Pitivi is proving to truly be a promising libre video editor for GNU distributions as well as a serious contender for bringing libre video production up to par with its proprietary counterparts. Since launching a beautifully well-organized crowdfunding campaign (as covered here previously), the team has raised over half of their 35,000 € goal to pay for full-time development and has entered "beta" status for version 1.0. They've released two versions, 0.94 (release notes) being the most recent, which have brought full MPEG-TS/AVCHD support, porting to Python 3, lots of UX improvements, and—of course—lots and lots of bug fixes. The next release (0.95) will run on top of Non Linear Engine, a refined and incredibly more robust backend Pitivi developers have produced to replace GNonLin and bring Pitivi closer to the rock-solid stability needed for the final 1.0 release.

HughPickens.com writes: Nicolas Niarchos has a profile of 2600 in The New Yorker that is well worth reading. Some excerpts: "2600 — named for the frequency that allowed early hackers and "phreakers" to gain control of land-line phones — is the photocopier to Snowden's microprocessor. Its articles aren't pasted up on a flashy Web site but, rather, come out in print. The magazine—which started as a three-page leaflet sent out in the mail, and became a digest-sized publication in the late nineteen-eighties — just celebrated its thirtieth anniversary. It still arrives with the turning of the seasons, in brown envelopes just a bit smaller than a 401k mailer."

"There's been now, by any stretch of the imagination, three generations of hackers who have read 2600 magazine," Jason Scott, a historian and Web archivist who recently reorganized a set of 2600's legal files, said. Referring to Goldstein, whose real name is Eric Corley, he continued: "Eric really believes in the power of print, words on paper. It's obvious for him that his heart is in the paper."

"2600 provides an important forum for hackers to discuss the most pressing issues of the day — whether it be surveillance, Internet freedom, or the security of the nation's nuclear weapons—while sharing new code in languages like Python and C.* For example, the most recent issue of the magazine addresses how the hacking community can approach Snowden's disclosures. After lampooning one of the leaked N.S.A. PowerPoint slides ("whoever wrote this clearly didn't know that there are no zombies in '1984' ") and discussing how U.S. government is eroding civil rights, the piece points out the contradictions that everyone in the hacking community currently faces. "Hackers are the ones who reveal the inconvenient truths, point out security holes, and offer solutions," it concludes. "And this is why hackers are the enemy in a world where surveillance and the status quo are the keys to power."

HughPickens.com writes Jim Edwards writes at Business Insider that Google is so large and has such a massive need for talent that if you have the right skills, Google is really enthusiastic to hear from you — especially if you know how to use MatLab, a fourth-generation programming language that allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. The key is that data is produced visually or graphically, rather than in a spreadsheet. According to Jonathan Rosenberg , Google's former senior vice president for product management, being a master of statistics is probably your best way into Google right now and if you want to work at Google, make sure you can use MatLab. Big data — how to create it, manipulate it, and put it to good use — is one of those areas in which Google is really enthusiastic about. The sexy job in the next ten years will be statisticians. When every business has free and ubiquitous data, the ability to understand it and extract value from it becomes the complimentary scarce factor. It leads to intelligence, and the intelligent business is the successful business, regardless of its size. Rosenberg says that "my quote about statistics that I didn't use but often do is, 'Data is the sword of the 21st century, those who wield it the samurai.'"

lkcl writes: In an open letter to the core developers behind OpenLDAP (Howard Chu) and Python-LMDB (David Wilson) is a story of a successful creation of a high-performance task scheduling engine written (perplexingly) in Python. With only partial optimization allowing tasks to be executed in parallel at a phenomenal rate of 240,000 per second, the choice to use Python-LMDB for the per-task database store based on its benchmarks, as well as its well-researched design criteria, turned out to be the right decision. Part of the success was also due to earlier architectural advice gratefully received here on Slashdot. What is puzzling, though, is that LMDB on Wikipedia is being constantly deleted, despite its "notability" by way of being used in a seriously-long list of prominent software libre projects, which has been, in part, motivated by the Oracle-driven BerkeleyDB license change. It would appear that the original complaint about notability came from an Oracle employee as well.

michaelcole writes: Its name is BitHammer. It searches out and bans BitTorrent users on your local sub-net.

I'm a digital nomad. That means I travel and work, often using shared Wi-Fi. Over the last year, I've been plagued by rogue BitTorrent users who've crept onto these public hostpots either with a stolen/cracked password, or who lie right to my face (and the Wi-Fi owners) about it.

These users clog up the residential routers' connection tables, and make it impossible to use tools like SSH, or sometimes even web browsing. Stuck for a day, bullied from the Wi-Fi, I wrote BitHammer as a research project. It worked rather well. It's my first Python program. I hope you find it useful.

An anonymous reader writes: Rosetta Code is a popular resource for programming language enthusiasts to learn from each other, thanks to its vast collection of idiomatic solutions to clearly defined tasks in many different programming languages. The Rosetta Code wiki is now linking to a new study that compares programming language features based on the programs available in Rosetta Code. The study targets the languages C, C#, F#, Go, Haskell, Java, Python, and Ruby on features such as succinctness and performance. It reveals, among other things, that: "functional and scripting languages are more concise than procedural and object-oriented languages; C is hard to beat when it comes to raw speed on large inputs, but performance differences over inputs of moderate size are less pronounced; compiled strongly-typed languages, where more defects can be caught at compile time, are less prone to runtime failures than interpreted or weakly-typed languages."

sfcrazy writes Developer Vratislav Podzimek has announced the next-gen partition manager for Fedora, blivet-gui. It is eventually going to replace GParted, the most popular GUI based partition manager, found in all major distros. The new tool is named blivet-gui after the blivet python library (originally Anaconda's storage management and configuration tool). The need of a new partition manager stems from the fact that none of the existing GUI partitioning tools supports all modern storage technologies. Fedora's Anaconda base supports all, though, and is hence chosen as the back-end for this new tool. The application is only a few months old but is already looking nice and useful. Features like RAID and BTRFS support are being worked on. Vojtech Trefny is the other developer working with Vratislav on blivet-gui. Here's the announcement.

itwbennett writes: Every programming language has its own unique quirks, such as weird syntax, unusual functionality or non-standard implementations -- things that can cause developers new to the language, or even seasoned pros, to scratch their heads in wonder (or throw their hands up in despair). Phil Johnson has rounded up some of the strangest — from the + operator in JavaScript to the trigraphs in C and C++ and indentation level in Python. What programming language oddities cause you the most grief?"

A while ago you had a chance to ask Andrew "bunnie" Huang about hardware, hacking and his open source hardware laptop Novena. Below you'll find his answers to those questions.

New submitter Fotis Georgatos (3006465) writes I recently engaged in a conversation about handling PDF texts for a range of needs, such as creation, manipulation, merging, text extraction and searching, digital signing etc etc. A couple of potential picks popped up (PDFBox, itext), given some Java experience of the other fellows. And then comes the reality of choosing software as a long term knowledge investment! ideally, we would like to combine these features:

• open source, with a community following ; the kind of stuff Slashdotters would prefer
• tidy software architecture; simple things should remain simple
• allow open API allowing usage across many languages (say: Python & Java)
• clear licensing status, not estranging future commercial use
• serious multilingual & font support
• PDF-handling rich features, not limiting usage for invoicing, e-commerce, reports & data mining
• digital signing should not go against other features

I'd like to poll the collective Slashdot crowd wisdom about if/which PDF related libraries, they have written software with, keeps them happy for *all* the above reasons. And if not happy with that all, what do they thing is the best bet for learning one piece of software in the area, with great reusability across different circumstances and little need for extra hacks? I'd really like to hear the smoked out war stories. It is easy to obtain a list of such libraries, yet tricky to understand whethe people have obtained success with them!

Recently, you had the chance to ask CIO for the City University of Hong Kong and AI researcher Andy Chun about his system that keeps the Hong Kong subway running and the future of artificial intelligence. Below you'll find his answers to those questions.

itwbennett writes: Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science, according to a recent survey posted by the Association for Computing Machinery (ACM). Eight of the top 10 computer science departments now use Python to teach coding, as well as 27 of the top 39 schools, indicating that it is the most popular language for teaching introductory computer science courses, according to Philip Guo, a computer science researcher who compiled the survey for ACM."

benrothke writes There is a not so fine line between data dashboards and other information displays that provide pretty but otherwise useless and unactionable information; and those that provide effective answers to key questions. Data-Driven Security: Analysis, Visualization and Dashboards is all about the later. In this extremely valuable book, authors Jay Jacobs and Bob Rudis show you how to find security patterns in your data logs and extract enough information from it to create effective information security countermeasures. By using data correctly and truly understanding what that data means, the authors show how you can achieve much greater levels of security. Keep reading for the rest of Ben's review.

An anonymous reader writes "I work for a huge company. We use SAS all the time for everything, which is great if you have a bunch of non-programmer employees and you want them to do data analysis and build models... but it ends up stifling any real innovation, and I worry we will get left behind. Python and R both seem to be emerging stars in the data science game, so I would like to steer us towards one of them. What compelling arguments can you give that would help an old company change its standard if that company is pretty set in its ways?"

An anonymous reader writes "Many years ago, I was a coder—but I went through my computer science major when they were being taught in Lisp and C. These days I work in other areas, but often need to code up quick data processing solutions or interstitial applications. Doing this in C now feels archaic and overly difficult and text-based. Most of the time I now end up doing things in either Unix shell scripting (bash and grep/sed/awk/bc/etc.) or PHP. But these are showing significant age as well. I'm no longer the young hotshot that I once was—I don't think that I could pick up an entire language in a couple of hours with just a cursory reference work—yet I see lots of languages out there now that are much more popular and claim to offer various and sundry benefits I'm not looking to start a new career as a programmer—I already have a career—but I'd like to update my applied coding skills to take advantage of the best that software development now has to offer. (More, below.)

theodp (442580) writes "'R beats Python!' screams the headline at Prof. Norm Matloff's Mad (Data) Scientist blog. 'R beats Julia! Anyone else wanna challenge R?' Not that he has anything against Python, Matloff adds, but he just doesn't believe that Python or Julia will become 'the new R' anytime soon, or ever. Why? 'R is written by statisticians, for statisticians,' explains Matloff. 'It matters. An Argentinian chef, say, who wants to make Japanese sushi may get all the ingredients right, but likely it just won't work out quite the same. Similarly, a Pythonista could certainly cook up some code for some statistical procedure by reading a statistics book, but it wouldn't be quite same. It would likely be missing some things of interest to the practicing statistician. And R is Statistically Correct.'"

bauhausinteraction writes "A team from the Bauhaus-University and Native Instruments Developers built and programmed a fully functional interactive Lego Sequencer / Tangible Groove Machine that sends control data to the Maschine drum sequencer to make music. The thing was built within 24 hours as an unofficial weekend collaboration between bauhausinteraction and NI at the MidiHack 2014 in Stockholm. A standard webcam is mounted underneath the baseplate. The image is processed by a Python Script using the OpenCV Library to track the bricks. The tricky bit was to not track the user's hand, but we succeeded at that as well.

The information about brick color, position, and orientation is derived from the image and then converted into OpenSoundControl (OSC) messages. Those are sent over a network connection to a computer running Native Instruments Maschine to play back the sounds. Of course, this would work with other sound generators as well, since the whole thing simply spits out OSC-Messages and MIDI — but hey: if the guys from Native are there, you'd better use their Maschine stuff. Being real Masterbuilders, of course we used only unmodified, standard Lego Parts and no Kragle* for the construction. (*see the Lego Movie for reference.)"