When.com Web Search

  1. Ad

    related to: python scripts for devops engineers course 2 book 9

Search results

  1. Results From The WOW.Com Content Network
  2. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based vocabularies; Meson build system, a software tool for automating the building (compiling) of software; mod_python, an Apache module allowing direct integration of Python scripts with the Apache web server

  3. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning ...

  4. Coding conventions - Wikipedia

    en.wikipedia.org/wiki/Coding_conventions

    Coding conventions allow programmers to have simple scripts or programs whose job is to process source code for some purpose other than compiling it into an executable. It is common practice to count the software size (Source lines of code) to track current project progress or establish a baseline for future project estimates.

  5. Extreme programming - Wikipedia

    en.wikipedia.org/wiki/Extreme_programming

    Extreme programming (XP) is a software development methodology intended to improve software quality and responsiveness to changing customer requirements. As a type of agile software development, [1] [2] [3] it advocates frequent releases in short development cycles, intended to improve productivity and introduce checkpoints at which new customer requirements can be adopted.

  6. MLOps - Wikipedia

    en.wikipedia.org/wiki/MLOps

    MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...

  7. Codecademy - Wikipedia

    en.wikipedia.org/wiki/Codecademy

    The platform also provides courses for learning command line and Git. [3] In September 2015, Codecademy, in partnership with Periscope, added a series of courses designed to teach SQL, the predominant programming language for database queries. [21] In October 2015, Codecademy created a new course, a class on Java programming. As of January 2014 ...

  8. DevOps toolchain - Wikipedia

    en.wikipedia.org/wiki/DevOps_toolchain

    A DevOps toolchain is a set or combination of tools that aid in the delivery, development, and management of software applications throughout the systems development life cycle, as coordinated by an organisation that uses DevOps practices.

  9. Test-driven development - Wikipedia

    en.wikipedia.org/wiki/Test-driven_development

    Test-driven development (TDD) is a way of writing code that involves writing an automated unit-level test case that fails, then writing just enough code to make the test pass, then refactoring both the test code and the production code, then repeating with another new test case.