pyfolder | Python package for managing filesystem folders as dicts | File Utils library

by ipazc Python Version: 0.0.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyfolder Summary

pyfolder is a Python library typically used in Utilities, File Utils applications. pyfolder has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyfolder' or download it from GitHub, PyPI.

Python package for managing filesystem folders as dicts.

Support

Quality

Security

License

Reuse

Support

pyfolder has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyfolder is 0.0.2

Quality

pyfolder has 0 bugs and 0 code smells.

Security

pyfolder has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyfolder code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyfolder is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyfolder releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 509 lines of code, 62 functions and 6 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyfolder and discovered the below as its top functions. This is intended to give you an instant insight into pyfolder implemented functionality, and help decide if they suit your requirements.

Return the contents of the given item .
Delete a file or folder .
Returns the URI for the given item .
Check if object can save .
Check if the given file can be loaded .
Save object .
Return the README . rst file .
Register a new interpreter .
Initialize the interpreter .

Get all kandi verified functions for this library.

pyfolder Key Features

No Key Features are available at this moment for pyfolder.

pyfolder Examples and Code Snippets

No Code Snippets are available at this moment for pyfolder.

Community Discussions

Trending Discussions on pyfolder

Airflow 2 - ModuleNotFoundError: No module named 'airflow.operators.text_processing_plugin'

QUESTION

Airflow 2 - ModuleNotFoundError: No module named 'airflow.operators.text_processing_plugin'

Asked 2021-Mar-30 at 11:32

I am new to airflow and trying to make a dag for processing text. I have a datapipeline consisting of text processing tasks - reading doc, cleaning text and loading data to JSON file. For text processing, custom operators are used for each transformation task and they are kept in text_processing_plugin folder. Complete folder structure of plugin folder is:-

...

ANSWER

Answered 2021-Mar-30 at 11:32

Changed in version 2.0: Importing operators, sensors, hooks added in plugins via airflow.{operators,sensors,hooks}. is no longer supported, and these extensions should just be imported as regular python modules. For more information, see: Modules Management and Creating a custom Operator

Source https://stackoverflow.com/questions/66868967

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyfolder

You can install using 'pip install pyfolder' or download it from GitHub, PyPI.
You can use pyfolder like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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