Python

Python is a programming language and the AnyWayData Python option is likely most useful to Python developers.

What is Python Data Output?

Python can represent table-like data using collections of dictionaries or collections of objects.

For example, a list of dictionaries:

data = [
    {
        "user": "Jesse.Bradtke97",
        "name": "Corine"
    },
    {
        "user": "Cielo.Little",
        "name": "Zander"
    }
]

In the example above:

• each row is represented as a dictionary using key/value pairs
• dictionary keys come from the column headers
• dictionaries are collected in a Python list

AnyWayData can also generate class-instance output where each row is represented as a named Python object.

How is Python Output different from JSON and Javascript?

JSON is a language-independent data format and JavaScript object arrays are JavaScript syntax.

Python output uses Python syntax and Python concepts:

• strings can use single or double quotes
• None can be used for blank values
• values can be emitted as Decimal(...) for precise decimal handling
• rows can be emitted as dictionaries or class instances

Unlike JSON, Python output is designed to be used directly in Python code.

AnyWayData Support for Python

AnyWayData currently supports exporting data to Python format.

You can configure output options such as:

• quote handling
• number handling
• decimal conversion rules
• pretty print indentation
• optional import statements
• dictionary vs class-instance output

Python output can be generated from the same grid data used for the other supported export formats.

Unit Test Code Generation

You can also generate data-driven test scaffolding for Python using frameworks: pytest, unittest, nose2.

For more information, see Unit Test Code Generation.