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Programming Leftovers

Submitted by Roy Schestowitz on Wednesday 24th of April 2019 03:13:48 PM Filed under
Development
  • 27 Excellent Free Books to Learn all about R

    The R language is the de facto standard among statisticians for the development of statistical software, and is widely used for statistical software development and data analysis. R is a modern dialect of S, one of several statistical programming languages designed at Bell Laboratories.

    R is much more than a programming language. It’s an interactive suite of software facilities for data manipulation, calculation, and graphical display. R offers a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The ability to download and install R packages is a key factor which makes R an excellent language to learn. What else makes R awesome? Here’s a taster.

  • Getting started with blockchain for Java developers

    Top technology prognosticators have listed blockchain among the top 10 emerging technologies with the potential to revolutionize our world in the next decade, which makes it well worth investing your time now to learn. If you are a developer with a Java background who wants to get up to speed on blockchain technology, this article will give you the basic information you need to get started.

  • Automate user acceptance testing with your DevOps pipeline

    Acceptance testing, also called user acceptance testing (UAT), determines whether a system satisfies user needs, business requirements, and authorized entity criteria. The tests are repeated every time there's a new design when the application is developed through software development lifecycle (SDLC). In many companies, the Site Reliability Engineer (SRE) automates acceptance testing by building a continuous integration/continuous development (CI/CD) pipeline within a DevOps initiative.

  • The DevOps Edge with SUSE Manager
  • GStreamer buffer flow analyzer

    Gstreamer's logging system is an incredibly powerful ally when debugging but it can sometimes be a bit daunting to dig through the massive amount of generated logs. I often find myself writing small scripts processing gst logs when debugging. Their goal is generally to automatically extract some specific information or metrics from the generated logs. Such scripts are usually quickly written and quickly disposed once I'm done with my debugging but I've been wondering how I could make them easier to write and to re-use.

    gst-log-parser is an attempt to solve these two problems by providing a library parsing GStreamer logs and enabling users to easily build such tools. It's written in Rust and is shipped with a few tools that I wrote to track actual bugs in GStreamer elements and applications.

    One of those tool is a buffer flow analyzer which can be used to provide various information regarding the buffers exchanged through your pipeline. It relies on logs generated by the upstream stats tracer, so no modification in GStreamer core or in plugins is required.

  • Next C++ workshop: Linked Lists / Stack Classes; PQs and Heaps, 25 April at 18:00 UTC
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today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

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  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

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  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.

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