Switching from GtkTreeView (which remains available in GTK4) to this new version is said to offer a number of advantages, and offer ‘full feature parity’ with two (temporary) exceptions (that are being worked on in separate branches).

But putting that to one side, what benefits does this switch provide (besides a codebase that’s more malleable and modern)?

Well, say hello to rubber banding — at long last you can now select multiple files/folders in list view simply by dragging out with your mouse, just like you can in the icon view...

Projects involving motion detection actions require a reliable way to run their code when an object movement happens. One of the most common solutions to accomplish this task is by the HC-SR501 PIR sensor with Raspberry PI.

In this tutorial, I’m going to show you how to connect and use a PIR with Raspberry PI computer boards using Python.

What is a PIR

A PIR (Passive InfraRed, sometimes named “PID” as “Passive Infrared Detector”) sensor is an electronic device able to measure the infrared (IR) light radiating from objects. The term passive means that the PIR module doesn’t radiate energy for detection purposes: it only detects infrared radiation emitted by or reflected from objects.

It can make your project aware if a generic movement happened in its range of view, but it can’t give more information (like, for example, who, where and how many the object moved).

You can find a more detailed description of how the PIR works from the following Glolab PIR page.

• The Poisson distribution: From basic probability theory to regression models

  Brief introduction to the Poisson distribution for modeling count data using the distributions3 package. The distribution is illustrated using the number of goals scored at the 2018 FIFA World Cup, suitable for self-study or as a classroom exercise.

• Webscraping in R with Rvest

  Web scraping has become an incredibly important tool in data science, as an easy way to generate new data. The main advantage is the automation of some pretty repetitive tasks. Web scrapping can also be a good way of keeping up with new data on a website, assuming it doesn’t have a big change in its HTML structure.

• Clang Static Analyzer and the Z3 constraint solver | Frederic Cambus

  Notes on using the Z3 constraint solver with the Clang Static Analyzer
  As far as static analyzers are concerned, one of the most important point to consider is filtering out false positives as much as possible, in order for the reports to be actionable.

  This is an area on which Coverity did an excellent job, and likely a major reason why they got so popular within the open source community, despite being a closed-source product.

  LLVM has the LLVM_ENABLE_Z3_SOLVER build option, which allows building LLVM against the Z3 constraint solver.

• Least Common Denominator APIs

  Often, our instinct is to build for optionality. What if we change databases? What if we change clouds? We target the Least Common Denominator (LCD) interface to avoid vendor lock-in and make sure our software is portable – after all, Optimization is Fragile. LCD interfaces look like targeting the S3 API, a generic PubSub implementation, or vanilla ANSI SQL.

  LCD interfaces are good enough most of the time, but when we need to run a specialized workload, sometimes they don't perform how we'd like. We could solve our problem quickly by narrowing the API – coupling it to a specific cloud or managed service, but that destroys our optionality. Here, you should probably fight your instinct to stick with the pure implementation and weigh the trade-offs – how many developer-hours and pain can you save by narrowing the interface?

  Optimization and optionality are inherent trade-offs. There's a way to architecture services to be efficient and generic but also practical.

• Quantum computer programming for dummies

  For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly accessible, a new beginner’s guide provides a thorough introduction to quantum algorithms and their implementation on existing hardware.

  “Writing quantum algorithms is radically different from writing classical computing programs and requires some understanding of quantum principles and the mathematics behind them,” said Andrey Y. Lokhov, a scientist at Los Alamos National Laboratory and lead author of the recently published guide in ACM Transactions on Quantum Computing. “Our guide helps quantum programmers get started in the field, which is bound to grow as more and more quantum computers with more and more qubits become commonplace.”

• Create new variables from existing variables in R

  Create new variables from existing variables in R?. To create new variables from existing variables, use the case when() function from the dplyr package in R.

• Construct a Perfect Binary Tree with given Height

  Given an integer N, the task is to generate a perfect binary tree with height N such that each node has a value that is the same as its depth. Return the inorder traversal of the generated binary tree.

• Announcing urllib3's bounty program

  We’ve recognized that one of the biggest challenges to shipping v2.0 is not having enough time to devote to contributions. Our bounty program is hoping to spur interest from the community in the urllib3 project and fairly pay contributors for their time and experience.

  The bounty program works by marking issues with bounty amounts we’re willing to pay for anyone to complete an issue. Don't worry if you're not an existing contributor — new contributors are welcome and encouraged!

• Learning from Failure – Nitinol Fracture Mechanics in R | R-bloggers

  Despite our best efforts, nitinol implants fracture and fail. Sometimes we want them to fail (on the bench, to learn).

• Every Sufficiently Advanced Configuration Language is Wrong

  Every sufficiently advanced configuration language is the wrong tool for the job.

  [...]

  The logical extreme is becoming more evident – advanced configuration in general-purpose programming languages. You can see this in the emergence of Typescript for Infrastructure-as-Code. For the most basic (and human 0x777) configuration needs, there will always be simple formats – YAML, JSON, INI, etc.).

• Another Exercise In Encoding Reversing | Didier Stevens

  In this blog post, I will show how to decode a payload encoded in a variation of hexadecimal encoding, by performing statistical analysis and guessing some of the “plaintext”.

  I do have the decoder too now (a .NET assembly), but here I’m going to show how you can try to decode a payload like this without having the decoder.

• Examples Of Encoding Reversing | Didier Stevens

  I recently created 2 blog posts with corresponding videos for the reversing of encodings.

  The first one is on the ISC diary: “Decoding Obfuscated BASE64 Statistically“. The payload is encoded with a variation of BASE64, and I show how to analyze the encoded payload to figure out how to decode it.

• An Introduction to Python: A Language for the Ages – The New Stack

  For anyone just getting into software programming, one of your best friends will be Python. Why? Python is very simple to learn and easy to implement. Even better, what you can do with this language grows as you learn more. You can start with very simple text-based applications and migrate to GUI applications and much more. And because Python is supported by most major operating systems (Linux, macOS, and Windows), you can begin your journey, regardless of platform.

  Python includes support for features such as lists, tuples, functions, variables, JSON, and ranges. But where did Python come from and why is it still so important today? Let’s dig in and find out. To follow our series of introductory tutorials, start here.

• How To Write Comments In Python

  The way you think is reflected in programming in order to convey the individual steps that you took to solve an issue utilizing a computer. Commenting your code helps clarify your thinking process, which in turn makes it easier for you and other people to comprehend the purpose of your code in the future. Because of this, you will have an easier time locating bugs, fixing them, enhancing the code at a later time, and reusing it in other applications as well.

  The act of commenting is essential to the completion of any and all tasks, regardless of how little, medium, or fairly enormous they may be. It should be considered standard procedure for software engineers since it is an important component of your workflow. Without comments, things have the potential to get quite complicated very quickly. In this post, we will cover the many techniques of commenting that Python offers, as well as how it may be utilized to automatically produce documentation for your code via the use of the so-called module-level docstrings.

• [RFC] Zstandard as a second compression method to LLVM

  The LLVM project currently has support for zlib as a compression algorithm. Usage of it varies from compression of ELF debug sections, to serialization of performance stats and AST data structures.

  We would like to add Zstandard (A.K.A. Zstd) as an alternative to zlib, which tends to achieve higher compression rates while being faster across the board. Using those for internal tooling could lead to speed improvements in places where we compress AST’s etc, without sacrificing the compressed size of them.

• Porting KCM modules from QtWidgets to QtQuick/Kirigami for GSOC 2022

  I’ve been selected for GSOC this year. My task is to redesign and port the KCMs currently in Qt Widgets to QtQuick/Kirigami

  Thanks, Nate and David for agreeing to mentor me.

• Rant: One day either JavaScript or AutoComplete will start ww3

• Takedown Notice Wipes Game Boy Advance Emulator From GitHub

  A popular browser-based Game Boy Advance emulator with nearly 100 working games was removed from GitHub this week. The takedown request was sent by the ESA, which acts on behalf of Nintendo and other game companies. The problem hasn't been sorted out completely, however, as nostalgic games can easily find alternatives, even on GitHub.

• Russia’s Conti working on exploits for Intel ME BMC AMT IPMI – Intel ME the biggest security fuck up in computing history – sue Intel

  “The biggest network security threat today is a remote code execution exploit for Intel’s Management Engine.”

  “Every computer with an Intel chipset produced in the last decade would be vulnerable to this exploit, and RCE would give an attacker full control over every aspect of a system.

  If you want a metaphor, we are dinosaurs and an Intel ME exploit is an asteroid hurtling towards the Yucatán peninsula.” (https://hackaday.com/tag/intel-me/)

  Intel might have installed – over the course of at least a decade (to this day?) a closed source backdoor in your computer’s firmware, that might never receive updates and is hard to remove.
  Once this backdoor is fully cracked, everyone (Russia, China and North Korea) can use it.
  Having remote control over a server down to the BIOS is a neat feature.

  [...]

  another dramatic way to put it:

  “The biggest network security threat today is a remote code execution exploit for Intel’s Management Engine.”

  “Every computer with an Intel chipset produced in the last decade would be vulnerable to this exploit, and RCE would give an attacker full control over every aspect of a system.