Lightweight Marshalling of Python 3 Objects.
Project description
lima takes arbitrary Python objects and converts them into data structures native to Python. The result can easily be serialized into JSON, XML, and all sorts of other things. lima is Free Software, lightweight and fast.
lima at a Glance
import datetime
import lima
# a model
class Book:
def __init__(self, title, date_published):
self.title = title
self.date_published = date_published
# a marshalling schema
class BookSchema(lima.Schema):
title = lima.fields.String()
published = lima.fields.Date(attr='date_published')
book = Book('The Old Man and the Sea', datetime.date(1952, 9, 1))
schema = BookSchema()
schema.dump(book)
# {'published': '1952-09-01', 'title': 'The Old Man and the Sea'}
Key Features
- Lightweight
lima has only a few hundred SLOC. lima has no external dependencies.
- Fast
lima tries to be as fast as possible while still remaining pure Python 3.
- Well documented
lima has a comprehensive tutorial and more than one line of docstring per line of Python code (see documentation).
- Free
lima is Free Software, licensed under the terms of the MIT license.
Requirements
Python 3.3 or newer. That’s it.
Installation
$ pip install lima
See the documentation for more comprehensive install instructions.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file lima-0.5.tar.gz
.
File metadata
- Download URL: lima-0.5.tar.gz
- Upload date:
- Size: 24.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3b10419b364633e3eda52c398b120c547fd9d5854e4cefd9bcf79c3c0a001263 |
|
MD5 | 21a660858a516a83bf74d17a6416d763 |
|
BLAKE2b-256 | 6e2821c28adcd88cb607f33aa6be8794861da0db089058183e62cfe053d68fe0 |