Programming Leftovers

posted by Roy Schestowitz on Jan 11, 2024

• Rlang ☛ Probably More Than Chance: A Beginner’s Guide to Probability Distributions in R

  Welcome to “Probably More Than Chance: A Beginner’s Guide to Probability Distributions in R.” In this journey, we’ll explore the intriguing world of probability distributions, an essential concept in statistics and data analysis. These distributions are the backbone of understanding how data behaves under various conditions. R, a powerful tool for statistical computing, offers us an intuitive way to explore and visualize these distributions. Whether you’re a beginner or an enthusiast in the realm of data analysis, this guide will help you grasp the basics and see how R can bring statistical theories to life.

  Now, let’s dive into the fascinating world of probability distributions, starting with understanding what they are and why they’re crucial in data analysis.

• Alexandru Nedelcu ☛ Scala's Future

  As software developers, we invest a lot in our tools. Time, energy, and feelings. We recommend tools to others; we build on top; we belong to a community; we contribute; hence we're eventually becoming stakeholders. And there's no other tool more clamored or risky in our belt than the programming language. Well, gather around, kids, let me tell you two stories from my past with the software industry…

• [Old] Alexandru Nedelcu ☛ Scripting with Scala

  Unix has a long tradition with scripting — small programs represented as text files that can be inspected, modified, and executed. Scala can be used for scripting too.

• Sven Luijten ☛ Using interfaces in third-party packages

  I was recently working a PR to make The OG more customizable, and I had some thoughts on using interfaces instead of concrete classes or enums in third-party packages.

• Tedium ☛ High Performance Computing – It’s all about the bottleneck

  One way to try to handle the challenge is to simply load data in a serial manner into the computer memory for processing. This is where we encounter the first bottleneck. We need storage that can handle the data set, and which can stream the data into memory at a pace that will not compromise the required performance. Even before it starts, the computation problem becomes one of big data. As it happens, this is a general challenge that affects most areas of the software industry. In the HPC space, it is simply several orders of magnitude bigger and more acute.

• Perl / Raku

  • Rakulang ☛ Raku Weekly 2024.02 An Empty Slate

    A bit of a quiet week with people recovering from the holidays, getting ready for big things to come! Alexey’s Corner Alexey Melezhik introduces Sparky – Self-hosted Task Runner with Easily Customizable UI to the people on dev.to. Weeklies Weekly Challenge #251 is available for your perusal. New Pull Requests Core Developments In RakuAST developments this […]

• Shell/Bash/Zsh/Ksh

  • Shariq Raza Qadri ☛ Prodigy Who Got Fired For Automating His Job

    I could relate to this incident because a DevOps role (which I’m trying to break into as a fresher) also involves automating one’s own job. However, this largely differs from what this individual was doing. DevOps emphasizes automation as a means to foster collaboration, speed up processes, and drive innovation, ultimately benefiting the organization as a whole.

  • [Old]

    Interesting Engineering ☛ Reddit User Claims He Automated His Job For 6 Years, Finally Is Fired, Forgets How To Code

    When he first got his software testing quality assurance job, he spent eight months automating all of the programming tasks. With all of his tasks fully automated by a computer, he was able to literally sit back and do whatever he wanted. From Reddit, FOF describes in his own words what it was like to automate his own job: [...]

• Rust

  • Rust Weekly Updates ☛ This Week In Rust: This Week in Rust 529