We will introduce
YAML in Python. We will also introduce how to install
YAML on different devices.
YAML in Python
YAML is a serialization language. Serialization language means that applications written with different technological languages with different data structures can transfer data to each other through different formats.
The most common and useful format, in this case, is YAML. YAML is a data serialization format for human readability and is linked with scripting languages.
The popularity of YAML has increased over time because it is easily readable by humans.
This feature makes it a great fit for writing different configuration files. Python has its
YAML parser for Python.
There are different features of YAML. The main features are as follows:
- It is a complete YAML 1.1 parser.
- It provides Unicode support.
- It can also provide pickle support.
- It has a capable extension API.
- And sensible error messages.
PyYAML provides support for different standard YAML tags. It can also provide Python-specific tags that permit you to represent different Python objects.
PyYAML can help us to perform tasks easily. They are applicable for tasks that vary from complex configuration files to different object serialization.
Installation of YAML in Python
There are some requirements for installing YAML. We should have the latest versions of
setuptools require environment marker support (
setuptools with a version greater or equal to 20.6.8), and it is linked with Python 3.4.6 but doesn’t support 3.4.4.
We can install
setuptools using the following code.
# python pip install -U pip setuptools wheel
For our environment (
virtualenv, (Docker) container, etc.), before installing
ruamel.yaml, it is better to install
PyPI using the following command.
# python pip install ruamel.yaml
After that, we can easily install the
PyYAML using the following command.
# python pip install PyYAML