Python has become an increasingly popular choice for devops and operations tooling due to its ease of use, readability, and the flexibility it offers in scripting across diverse systems, akin to the traditional use of shell scripts on *nix systems. The language's ubiquity and familiarity to system administrators allow for quick problem-solving and automation without the need for complex programming knowledge, making it especially valuable in urgent situations. Python's extensive standard library and availability of third-party modules support a wide array of tasks, from network manipulation with netaddr to data scraping with BeautifulSoup and visualization with Matplotlib or Bokeh. In addition to its day-to-day applications, Python underpins significant infrastructure management tools like Ansible, Saltstack, and AWS's command line tool, enhancing its appeal in devops environments that aim to integrate and collaborate across different technical domains. While Ruby and JavaScript are also used in similar contexts, Python's capability to accomplish most tasks with its standard library, complemented by external modules, sets it apart, although the emerging use of Golang presents a competitive alternative due to its efficiency and portability.