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HowTos

today's howtos and programming leftovers

Filed under
Development
HowTos

today's howtos and programming

Filed under
Development
HowTos
  • Create backup copy of file, adding suffix of the date of the file modification (NOT today's date)
  • Sysadmin job levels: What you need to know for each
  • Easing into automation with Ansible
  • iptables allow vnc
  • Kubernetes deployment yaml example for beginners
  • Source Command on Linux Explained
  • An introduction to audio processing and machine learning using Python

    At a high level, any machine learning problem can be divided into three types of tasks: data tasks (data collection, data cleaning, and feature formation), training (building machine learning models using data features), and evaluation (assessing the model). Features, defined as "individual measurable propert[ies] or characteristic[s] of a phenomenon being observed," are very useful because they help a machine understand the data and classify it into categories or predict a value.

  • Excellent Free Books to Learn Lisp

    Lisp (derives from “LISt Processing”) is one of the oldest programming languages. It was invented in 1958, with the language being conceived by John McCarthy and is based on his paper “Recursive Functions of Symbolic Expressions and Their Computation by Machine”. Over the years, Lisp has evolved into a family of programming languages. The most commonly used general-purpose dialects are Common Lisp and Scheme. Other dialects include Franz Lisp, Interlisp, Portable Standard Lisp, XLISP and Zetalisp.

    The majority of Lisp implementations offer a lot more than just a programming language. They include an entire environment such as debuggers, inspectors, tracing, and other tools to add the Lisp developer. Lisp is a practical, expression-oriented, interactive programming language which uses linked lists as one of its major data structures. A Lisp list is written with its elements separated by whitespace, and surrounded by parentheses. Lisp source code is itself comprised of lists.

    The language has many unique features that make it excellent to study programming constructs and data structures. Many regard Lisp as an extremely natural language to code complex symbolic reasoning programs. Lisp is popular in the fields of artificial intelligence and symbolic algebra.

  • Easy-to-use tools are key to CI/CD success says 2019 State of DevOps Report

    The most effective strategies for scaling DevOps and fostering productivity include easy-to-use tools and solutions that create community, according to the 2019 Accelerate State of DevOps Report.

    This year’s report, written by Dr. Nicole Forsgren, Dr. Dustin Smith, Jez Humble, and Jessie Frazelle, represents six years of research and data from more than 31,000 professionals and aims to better understand how the technical and cultural practices associated with DevOps affect team and organizational performance. It also explores ways to help improve performance and productivity and even reduce burnout.

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