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.)"

Nerval's Lobster writes: "Dice [note: our corporate overlord] collects a ton of data from job postings. Its latest findings? The number of jobs posted for NoSQL experts has risen 54 percent year-over-year, ahead of postings for professionals skilled in so-called 'Big Data' (up 46 percent), Apache Hadoop (43 percent), and Python (16 percent). Employers are also seeking those with expertise in Software-as-a-Service platforms, to the tune of 20 percent more job postings over the past twelve months; in a similar vein, postings for tech professionals with some cloud experience have leapt 27 percent in the same period. Nothing earth-shattering here, but it's perhaps interesting to note that, for all the hype surrounding some of these things, there's actually significant demand behind them."

An anonymous reader writes "I've been teaching myself to code recently. I've made good progress so far, and I've written a bunch of little scripts to make my life easier. Here's the problem: most project ideas I come up with now either seem pretty easy or pretty impossible. I'm having trouble thinking of a project that'll stretch my skills without overloading them. I've tried finding open source projects to read through, but I run into the same thing: either it's straight-forward, or it requires reading a half-dozen dependencies, each of which has dependencies of their own. Anyone have suggestions on some intermediate-skill projects to undertake? Or some project files in an online repo that go beyond the basics without getting overwhelming? My language of choice is Python, but other languages are welcome."

GNU Mailman, likely the most popular mailing list manager in use today, has finally announced the release of a beta for version 3. GNU Mailman 3.0 is a major rewrite, features include a central server with a REST API replacing the dozen or two programs that manipulated Mailman data directly, a shiny new web fron end (Postorius), and a new archiver (HyperKitty). Fedora is already using the new archiver and interface, which is quite a bit more modern looking than Mailman 2.x's interface (wayback machine link for posterity). Individual message thread views are greatly improved, and you can even reply from the web by logging in with your list credentials. If you'd like to try it out, see the announcement message.

dacarr writes "The five remaining members of Monty Python will be performing in the O2 Arena, and their last show as a comedy troupe will be simulcast across hundreds of theaters in the UK, and roughly 1,500 more across the world, according to the Guardian. Michael Palin says this is really going to be the last time before the Pythons cease to be. Well, at least, before Monty Python, as a comedy troupe, runs down the curtain and joins the bleedin' choir invisible."

An anonymous reader writes with this announcement: "Ubuntu Linux version 14.04 LTS (code named "Trusty Tahr") has been released and available for download. This updated version includes the Linux kernel v3.13.0-24.46, Python 3.4, Xen 4.4, Libreoffice 4.2.3, MySQL 5.6/MariaDB 5.5, Apache 2.4, PHP 5.5, improvements to AppArmor allow more fine-grained control over application, and more. The latest release of Ubuntu Server is heavily focused on supporting cloud and scale-out computing platforms such as OpenStack, Docker, and more. As part of the wider Ubuntu 14.04 release efforts the Ubuntu Touch team is proud to make the latest and greatest touch experience available to our enthusiast users and developers. You can install Ubuntu on Nexus 4 Phone (mako), Nexus 7 (2013) Tablet (flo), and Nexus 10 Tablet (manta) by following these instructions. On a hardware front, ARM multiplatform support has been added, enabling you to build a single ARM kernel image that can boot across multiple hardware platforms. Additionally, the ARM64 and Power architectures are now fully supported. See detailed release notes for more information. A quick upgrade to a newer version of Ubuntu is possible over the network."