Programming Leftovers

posted by Roy Schestowitz on Jun 08, 2023

• How to improve your storytelling with R

  Your success as a Data Scientist isn’t because of your coding skills. Your success is determined by how well you can persuade decision-makers to take action. And that’s a powerful skill that I’m going to help you with today: It’s called Storytelling.

• Simplifying Data Transformation with pivot_longer() in R’s tidyr Library

  In the world of data analysis and manipulation, tidying and reshaping data is often an essential step. R’s tidyr library provides powerful tools to efficiently transform and reshape data. One such function is pivot_longer().

• Meeting the Stars of the R-Universe: PEcAn, an Open Source Project to Take Care of the Planet

  A new post of our interview series “Meeting the stars of the R-universe”. We aim to introduce the teams and people behind the development of software and packages many of us use and which are available through the R-Universe.

• Three useful (to me) R patterns

  I’m happy to report that I thought “oh but I know a better way to write that code!” a few times lately when reading old scripts of mine, or scripts by others.

• Peter Hutterer: snegg - Python bindings for libei

  After what was basically a flurry of typing, the snegg Python bindings for libei are now available. This is a Python package that provides bindings to the libei/libeis/liboeffis C libraries with a little bit of API improvement to make it not completely terrible. The main goal of these bindings (at least for now) is to provide some quick and easy way to experiment with what could possibly be done using libei - both server-side and client-side. [1] The examples directory has a minimal EI client (with portal support via liboeffis) and a minimal EIS implementation. The bindings are still quite rough and the API is nowhere near stable.

• 18 Open-source and Free Next.js Full-stack Starters For Enterprise and Startups

  What is Next.js? Next.js is an open-source React-based framework used for building server-side rendering (SSR) web applications. It provides an efficient and easy-to-use environment for developing web applications with minimal setup and configuration.

• Julia 1.9 brings more speed and convenience

  Version 1.9 of Julia, which is an open-source programming language popular in scientific computing, was released in early May. There are a number of interesting new features this time around, including more work addressing the startup-time complaints and a number of improvements to the package system. Beyond that, there are a few interesting features from the Julia 1.8 release to catch up on.

  Julia is a general-purpose programming language which is just-in-time (JIT) compiled by the LLVM compiler. Since its public release in 2012, it has rapidly been adopted for scientific research, due to execution speed similar to Fortran combined with the convenience of REPL-based development. Julia has an expressive syntax as well as a high degree of composability of library code.