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marshmallow: simplified object serialization — marshmallow 2.11.1 documentation

Marshmallow: simplified object serialization. Release v2.11.1. ( Changelog. Is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes. Artist: {name: David Bowie},. Release date: 1971-12-17,. In short, marshmallow schemas can be used to:. Input data to app-level objects. App-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API. Ready to get started?

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Marshmallow: simplified object serialization. Release v2.11.1. ( Changelog. Is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes. Artist: {name: David Bowie},. Release date: 1971-12-17,. In short, marshmallow schemas can be used to:. Input data to app-level objects. App-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API. Ready to get started?

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marshmallow: simplified object serialization — marshmallow 2.11.1 documentation | marshmallow.readthedocs.io Reviews

https://marshmallow.readthedocs.io

Marshmallow: simplified object serialization. Release v2.11.1. ( Changelog. Is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes. Artist: {name: David Bowie},. Release date: 1971-12-17,. In short, marshmallow schemas can be used to:. Input data to app-level objects. App-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API. Ready to get started?

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API Reference — marshmallow 3.0.0a1 documentation

http://marshmallow.readthedocs.io/en/latest/api_reference.html

Base schema class with which to define custom schemas. Release date: 1968-12-06, title: Beggars Banquet}. 8211; A list or tuple of fields to serialize. If. All fields will be serialized. Nested fields can be represented with dot delimiters. 8211; A list or tuple of fields to exclude from the serialized result. Nested fields can be represented with dot delimiters. 8211; Optional prefix that will be prepended to all the serialized field names. 8211; Should be set to. 8211; Optional context passed to. Tuple...

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Quickstart — marshmallow 3.0.0a1 documentation

http://marshmallow.readthedocs.io/en/latest/quickstart.html

This guide will walk you through the basics of creating schemas for serializing and deserializing data. Let’s start with a basic user “model”. Create a schema by defining a class with variables mapping attribute names to. For a full reference on the available field classes, see the API Docs. Serializing Objects (“Dumping”). Serialize objects by passing them to your schema’s. Method, which returns the formatted result (as well as a dictionary of validation errors, which we’ll revisit later. Iterable colle...

3

Why marshmallow? — marshmallow 3.0.0a1 documentation

http://marshmallow.readthedocs.io/en/latest/why.html

The Python ecosystem has many great libraries for data formatting and schema validation. In fact, marshmallow was influenced by a number of these libraries. Marshmallow is inspired by Django REST Framework. It borrows a number of implementation and design ideas from these libraries to create a flexible and productive solution for marshalling, unmarshalling, and validating data. Here are just a few reasons why you might use marshmallow. And Django REST Marshmallow. Concise, familiar syntax. Which uses dic...

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Authors — marshmallow 3.0.0a1 documentation

http://marshmallow.readthedocs.io/en/latest/authors.html

Steven Loria @sloria. Sebastian Vetter @elbaschid. Eduard Carreras @ecarreras. Joakim Ekberg @kalasjocke. Mark Grey @DeaconDesperado. Anders Steinlein @asteinlein. Cyril Thomas @Ketouem. Austin Macdonald @asmacdo. Josh Carp @jmcarp. Sven-Hendrik Haase @svenstaro. Eric Wang @ewang. Andriy Yurchuk @Ch00k. Vesa Uimonen @vesauimonen. David Lord @davidism. Daniel Castro @0xDCA. Ben Jones @RealSalmon. Patrick Woods @hakjoon. Lukas Heiniger @3rdcycle. Ryan Lowe @ryanlowe0. Jimmy Jia @taion. Stas Sușcov @stas.

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Ecosystem — marshmallow 3.0.0a1 documentation

http://marshmallow.readthedocs.io/en/latest/ecosystem.html

A list of marshmallow-related libraries can be found at the GitHub wiki here:. Object serialization and deserialization, lightweight and fluffy. If you find marshmallow useful, please consider supporting its author:. Your donation helps move marshmallow forward. Previous: Upgrading to Newer Releases. Enter search terms or a module, class or function name. Powered by Sphinx 1.3.5. Theme based on Alabaster 0.8.0.dev0.

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To customize your list. More stack exchange communities. Tour Start here for a quick overview of the site. Help Center Detailed answers to any questions you might have. Meta Discuss the workings and policies of this site. About Us Learn more about Stack Overflow the company. Business Learn more about hiring developers or posting ads with us. Announcing Stack Overflow Documentation. We started with Q&A. Technical documentation is next, and we need your help. Sign up and start helping →. From sqlalchemy&#4...

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周二, 11月 22 2016, 6:23:13 晚上. Test early. Test often. Test automatically. Tests that run with every build are much more effective than test plans that sit on a shelf. 最近开始做公司内部项目，CRM系统客户关系管理，用的flask python3.5.2。新项目统一用flask python3.5.2(python3库的支持比我想象中快，目前使用的依赖中都支持python3)，前端使用vue，前后分离，后端使用flask-restful写接口。首先在tests文件夹下有一个py.test使用的conftest.py文件推荐你使用pytest做测试，相当便捷. Defines fixtures available to all tests. http:/ doc.pytest.org/en/latest/fixture.html? Crm backend.app import. A Webtest app." ". Usersave...

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marshmallow: simplified object serialization — marshmallow 2.11.1 documentation

Marshmallow: simplified object serialization. Release v2.11.1. ( Changelog. Is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes. Artist: {name: David Bowie},. Release date: 1971-12-17,. In short, marshmallow schemas can be used to:. Input data to app-level objects. App-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API. Ready to get started?

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