learn_flask | 学习flask的项目我在根据The Flask Mega

by AiRanthem Python Version: Current License: No License

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kandi X-RAY | learn_flask Summary

learn_flask is a Python library. learn_flask has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

学习flask的项目我在根据The Flask Mega Tutorial学习flask编程，这个仓库用来存放学习过程中的项目代码。.

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Quality

Security

License

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Support

learn_flask has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

learn_flask has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of learn_flask is current.

Quality

learn_flask has no bugs reported.

Security

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

License

learn_flask does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

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learn_flask Key Features

No Key Features are available at this moment for learn_flask.

learn_flask Examples and Code Snippets

No Code Snippets are available at this moment for learn_flask.

Community Discussions

No Community Discussions are available at this moment for learn_flask.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install learn_flask

You can download it from GitHub.
You can use learn_flask 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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