pockets.readthedocs.io

Pockets full of useful Python tools! — pockets 0.3.2 documentation

Pockets full of useful Python tools! Pockets full of useful Python tools! Let me check my pockets. The Pockets library pulls together all the Python helper functions I’ve found useful over the years. If you’ve worked on a project that exports an API and accesses a data store, you’ve probably seen some code that looks like this:. Receive a data type with underscores from some API. Convert underscored data type to CamelCase to match the data model. Resolve the model name into a model class. On Read the Docs.

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Pockets full of useful Python tools! Pockets full of useful Python tools! Let me check my pockets. The Pockets library pulls together all the Python helper functions I’ve found useful over the years. If you’ve worked on a project that exports an API and accesses a data store, you’ve probably seen some code that looks like this:. Receive a data type with underscores from some API. Convert underscored data type to CamelCase to match the data model. Resolve the model name into a model class. On Read the Docs.

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Pockets full of useful Python tools! — pockets 0.3.2 documentation | pockets.readthedocs.io Reviews

https://pockets.readthedocs.io

Pockets full of useful Python tools! Pockets full of useful Python tools! Let me check my pockets. The Pockets library pulls together all the Python helper functions I’ve found useful over the years. If you’ve worked on a project that exports an API and accesses a data store, you’ve probably seen some code that looks like this:. Receive a data type with underscores from some API. Convert underscored data type to CamelCase to match the data model. Resolve the model name into a model class. On Read the Docs.

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pockets package — pockets 0.3.2 documentation

http://pockets.readthedocs.io/en/latest/pockets.html

Let me check my pockets. Functions available in the. Submodules are also imported to the base package for easy access, so:. Works just as well as:. A pocket full of useful collection functions! Is “listy”, i.e. a list-like object. 8220;Listy” is defined as a sized iterable which is neither a map nor a string:. Iterables and generators fail the “listy” test because they are not sized. 8211; The object to test. 8211; True if. Is “listy”, False otherwise. Return a listified version of. As its only element.

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Pockets full of useful Python tools! — pockets 0.3.2 documentation

Pockets full of useful Python tools! Pockets full of useful Python tools! Let me check my pockets. The Pockets library pulls together all the Python helper functions I’ve found useful over the years. If you’ve worked on a project that exports an API and accesses a data store, you’ve probably seen some code that looks like this:. Receive a data type with underscores from some API. Convert underscored data type to CamelCase to match the data model. Resolve the model name into a model class. On Read the Docs.

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