A History of Alice and Bob, by Quinn DuPont and Alana Cattapan (created 2017).

Blog of Raph Levien.

The outputs from scientific research are many and varied, including: research articles reporting new knowledge, data, reagents, and software; intellectual property; and highly trained young scientists. Funding agencies, institutions that employ scientists, and scientists themselves, all have a desire, and need, to assess the quality and impact of scientific outputs. It is thus imperative that scientific output is measured accurately and evaluated wisely.

Say you have an external hard drive with layers upon layers of cryptically named folders and intricate mazes of directories (like here, or here). How can you make sense of this mess? Python offers various tools in the Python standard library to deal with your file system and the folderstats module can be of additional help to gain insights into your file system.

In this article, you will learn the various ways to traverse and explore the file system with Python. In the next section, you will see how to extract statistics from files and directories. In the last section, you will see a practical way to analyze folder structures with folderstats and Pandas with some use cases and visualizations along the way.

The automobile took over because the legal system helped squeeze out the alternatives.

Scientists used machine learning to reveal new scientific knowledge hidden in old research papers.

Using just the language in millions of old scientific papers, a machine learning algorithm was able to make completely new scientific discoveries.

In a study published in Nature on July 3, researchers from the Lawrence Berkeley National Laboratory used an algorithm called Word2Vec sift through scientific papers for connections humans had missed. Their algorithm then spit out predictions for possible thermoelectric materials, which convert heat to energy and are used in many heating and cooling applications.

Solution for the Range Minimum Query problem with Sparse Tables and Dynamic Programming.

A vegetable-picking robot that uses machine learning to identify and harvest a commonplace, but challenging, agricultural crop has been developed by engineers.

Andresti mai in riva al fiume un caldo e afoso pomeriggio di giugno a farti assalire dalle zanzare… per partecipare a dei giochi di cui non sai neanche le regole, con un compagno di squadra che non conosci fino all’ultimo, a rischiare di chiamarti Cip e Ciop, se non addirittura Barbie e Ken, per poi concludere con un’ulteriore gioco a sorpresa dove però capisci fin da subito che potrebbe compromettere la tua dignità?!

Learn from Docker experts to simplify and advance your app development and management with Docker. Stay up to date on Docker events and new version announcements!

How do you find hundreds of vulnerabilities hidden in millions of lines of firmware code?

Traditionally, a major source of high-quality pirate releases has been retail discs, such as Blu-ray or DVD. Today, torrent and streaming sites are regularly fueled by content culled from streaming services such as Netflix and Amazon. Known online as WEB releases, these files are the product of a decryption process using tools mostly not intended for public use. Recently, TF spoke with a person involved in the secretive WEB scene.

Fake Text uses AI to analyze text and then generate incredibly detailed and realistic written responses to it, giving the impression that an exchange between humans is taking place. The AI analyses text patterns to put together disturbingly lucid text, typified by this Reddit thread.

Launched by leading global AI research lab OpenAI, Fake Text is already recognized as so potentially dangerous that even its inventors have publicly warned about it.

It's Friday, so why not watch some good old-fashioned drone-powered graffiti? A design firm in Italy has put together a lovely little show that collected sketches from the art community and put them all together in a giant mural, painted over 12 hours by a team of drones.

Learn what Amazon Web Services (AWS) Lambda is, and why it might be a good idea to use for your next project.

In order to show how useful Lambda can be, it’ll walk through creating a simple Lambda function using the Python programming language. It’ll test it out, as well as take a look at what Lambda provides for metrics and logging.

The web platform is the delivery mechanism of choice for a ton of software these days, either through the web browser itself or through Electron, but that doesn’t mean there isn’t a place for a good old fashioned straight-up desktop application in the picture.

Fortunately, it’s easier than ever to write a usable, pretty, and performant desktop app, using my language of choice (Rust) and the wildly successful cross-platform GUI framework GTK.

GUI prototyped using Glade.

I’ve used MATLAB for over 25 years. (And before that, I even used MATRIXx, a late, unlamented attempt at a spinoff, or maybe a ripoff.) It’s not the first language I learned to program in, but it’s the one that I came of age with mathematically. Knowing MATLAB has been very good to my career.
However, it’s impossible to ignore the rise of Python in scientific computing. MathWorks must feel the same way: not only did they add the ability to call Python directly from within MATLAB, but they’ve adopted borrowed some of its language features, such as more aggressive broadcasting for operands of binary operators.