Vstr is a string library, it's designed so you can work optimally with readv()/writev() for input/output. This means that, for instance, you can readv() data to the end of the string and writev() data from the beginning of the string without having to allocate or move memory. It also means that the library is completely happy with data that has multiple zero bytes in it.

This design constraint means that unlike most string libraries Vstr doesn't have an internal representation of the string where everything can be accessed from a single (char *) pointer in C, the internal representation is of multiple "blocks" or nodes each carrying some of the data for the string. This model of representing the data also means that as a string gets bigger the Vstr memory usage only goes up linearly and has no inherent copying (due to other string libraries increasing space for the string via. realloc() the memory usage can be triple the required size and require a complete copy of the string).

Like many developers, I have been interested in Rust for quite some time. Not only because it appears in so many headlines on Hacker News, or because of the novel approach the language takes to safety and performance, but also because people seem to talk about it with a particular sense of love and admiration. On top of that, Rust is of particular interest to me because it shares some of the same goals and features of my favorite go-to language: Swift. Since I've recently taken the time to do try out Rust in some small personal projects, I wanted to take a little time to document my impressions of the language, especially in how it compares to Swift.

All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing.

The tradition of a "Hello, World" program goes back at least to 1978. But for modern coders, what's an appropriate "Hello, World"?

Manage your entire data labeling workflow with a single tool.

When polarizing topics are discussed in meetings, passions can run high and cloud our judgment. Learn how mental models can help you see clearly from this real-life scenario.

This is an easy to understand example based tutorial aimed at those who know nothing of awk.

Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning"

ffsend is a fully featured CLI client for Firefox Send. This article explains how to securely share files from commandline with ffsend on Linux.

Comparison among the number of command line options for various commands for v7 Unix (1979), slackware 3.1 (1996), ubuntu 12 (2015), and ubuntu 17 (2017).

The number of command line options has dramatically increased over time; they tend to have more options and there are no cases where programs have fewer options.

The C language is still prominent in the industrial embedded world, where “IoT” often refers to platforms much more limited than a Raspberry Pi. Often having to deal with such environments, we wrote the following informal explainer about C for internal company needs, and thought it could be of interest for more readers. This is basic material, mixing C and operating systems knowledge, aimed at readers with no or limited understanding of how you go from C source code to an executable. We could expand on many points, but for now we just share this meandering overview.

In order to increase fluency in a programming language, one has to read a lot of it. But how can you read a lot of it if you don't know what it means?
In this article, instead of focusing on one or two concepts, I'll try to go through as many Rust snippets as I can, and explain what the keywords and symbols they contain mean.

Ready? Go!

The C10k problem is still a puzzle for a programmer to find a way to solve it. Generally, developers deal with extensive I/O operations via thread, epoll, or kqueue to avoid their software waiting for an expensive task. However, developing a readable and bug-free concurrent code is challenging due to data sharing and job dependency. Even though some powerful tools, such as Valgrind, help developers to detect deadlock or other asynchronous issues, solving these problems may be time-consuming when the scale of software grows large. Therefore, many programming languages such as Python, Javascript, or C++ dedicated to developing better libraries, frameworks, or syntaxes to assist programmers in managing concurrent jobs properly. Instead of focusing on how to use modern parallel APIs, this article mainly concentrates on the design philosophy behind asynchronous programming patterns.

Recorded by micahcowan