YAML Reading - Python for Integrated Circuits - - An Online Book - |
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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 | ||||||||||||||||||||||||
================================================================================= 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: 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.
============================================ Read YAML files: code: ============================================ Read YAML files: code: ============================================ Read YAML files: code: ============================================ Last n days (.to_datetime(x), .set_index(y), .last(z) in pandas) with .yaml file as input. Code A: ============================================
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