Python for DevOps Learn Ruthlessly Effective Automation.pdf下载

Devops, the combination of software development with information technology operations, has been a hot field during the last decade. Traditional boundaries between software development, deployment, maintenance, and quality assurance are broken, enabling more integrated teams. Python has been a popular language both in traditional IT operations and in the DevOps due to its combination of flexibility, power, and ease of use. The Python programming language was created in the early 1990s for use in system administration. It has been a great success in this area and gained wide adoption. It is a general-purpose programming language used in just about every domain. Visual effects and the film world is another prominent Python success story. More recently, it has become the defacto language in data science and machine learning. It has been used across industries from avian to bioinformatics. Modern Python has an extensive arsenal of tools to cover the wide-ranging needs of its users. Learning the whole Python Standard Library (the capabilities that come with any Python installation), would be a daunting task. If you add to it learning all of the third party packages ( that enliven the Python ecosystem, it would be an immense undertaking. The good news is that you don’t need to. You can become a powerful DevOps practitioner with only a small subset of Python. In this chapter, we draw on our decades of Python DevOps experience to teach only the elements of the language that you need. These are the parts of Python you use daily. They form the essential toolbox to get things done. Once you have these core concepts down, you can add more complicated tools, and indeed this is touched in more advanced features in later chapters.