Programming Leftovers

posted by Roy Schestowitz on Oct 22, 2024

• Linuxiac ☛ Pulsar 1.122 Code Editor Enhances C & PHP Support, Launcher Fixes [Ed: Still infected by Microsoft and bloat, poor design, Microsoft hosting]

  Pulsar 1.122 cross-platform code editor brings C and PHP enhancements, launcher fixes, opt-in SQL state storage, and more.

• Perl / Raku

  • Rakulang ☛ 2024.43 Advent Alert

    It’s that time of the year again: the time for writing Raku Advent Calendar blog posts! So that we can all enjoy them in the darkest days of the year (well, at least on the Northern Hemisphere). Tom Browder has opened up the 2024 list of articles to be. Please add your name and proposed article title: beginner or medium or advanced. Or tongue-in-cheek, or ultra technical. It will all be well appreciated!

• Python

  • Seth Michael Larson ☛ Python and Sigstore

    I was a guest on the Open Source Security podcast this week talking about Sigstore and Python among other things I'm working on at the Python Software Foundation.

    Sigstore is a digital signing method that has been used by CPython since 3.11.0 which focuses on ergonomics and uses short-lived keys with strongly-bound human-readable identities via OpenID Connect.

• R

  • Rlang ☛ Mastering Column Names in Base R: A Beginner’s Guide

    Data frames are a fundamental data structure in R, used to store tabular data. Each column in a data frame can be of a different data type, making them versatile for data analysis. Before diving into column name operations, it’s important to understand what a data frame is and how it’s structured.

    A data frame is essentially a table or a two-dimensional array-like structure in which each column contains values of one variable and each row contains one set of values from each column. Here’s a simple example: [...]

  • Rlang ☛ A Guide to Validating R (Shiny) Applications in Pharma

    Validating R Shiny applications is critical in the pharmaceutical industry, where data integrity, compliance, and patient safety are essential. Building on our post on R package validation, Shiny apps introduce unique challenges due to their interactive nature and real-time data processing compared to packages.

  • Rlang ☛ R editor and SQL console (in addition to Python editors) in www.techtonique.net

  • Rlang ☛ Sentiment Analysis in R

    In this lesson on sentiment analysis in R, you will learn how to perform sentiment analysis using the sentimentr package.