YAML reading

YAML Reading
- Python for Integrated Circuits -
- An Online Book -

Python for Integrated Circuits http://www.globalsino.com/ICs/

Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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YAML is most often used for configuration files as well as is used for data exchange. Similar to JSON and XML, YAML is a human-friendly data serialization language for all programming languages:
          i) You can store multiple documents in one YAML file with the --- separator.
          ii) It’s easy to parse for computers.
          iii) As many large projects, like Docker and Kubernetes, you can use YAML to define deployments.
          iv) It has a richer syntax than the often used alternative.
          v) it’s also easy to parse YAML, especially with Python and the PyYAML library.

However, there are some drawbacks of using YAML with Python, for instance, YAML is not part of the standard Python library, while XML and JSON are. Both JSON and YAML are developed to provide a human-readable data interchange format. Table 2369 lists the comparison between YAML vs JSON.

Table 2369. Comparison between YAML vs JSON.

	YAML	JSON
Complexity	Complex and time consuming process of parsing Serialized data	Quickly and easily parse JSON serialized data with its simpler design
Support	Less community support	Larger community support and popularity
Comment	Supports comments	Doesn’t support comments
Reference	Ability to use reference of other data objects	Impossible to serialize complex structures with object references
Structure	Hierarchy is denoted by using double space characters. Tab characters are not allowed	Objects and Arrays are denoted in braces and brackets.
String quotes	String quotes are optional but it supports single and double quotes.	Strings must be in double quotes.
Root node	Root node can be any of the valid data types	Root node must either be an array or an object.

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Read YAML files: code:
           Print even numbers
Output:

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Read YAML files: code:
           Print even numbers
Output:

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Read YAML files: code:
           Print even numbers
Output:

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Last n days (.to_datetime(x), .set_index(y), .last(z) in pandas) with .yaml file as input. Code A:
          Upload Files to Webpages
         YAML file input A:

       CSV input:

       Output A:

    Code B:

         YAML file input B:
          Upload Files to Webpages
       CSV input:

       Output B:

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