Learn-Python-the-Hard-Way | Notes for Learn Python the Hard Way '' by Zed Shaw

by GiuseppeBaldini Python Version: Current License: No License

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kandi X-RAY | Learn-Python-the-Hard-Way Summary

Learn-Python-the-Hard-Way is a Python library. Learn-Python-the-Hard-Way has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

My notes and solutions to the exercises given by Zed Shaw in its introductory book to Python: Learn Python the Hard Way. Comments and feedback always welcome.

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Support

Learn-Python-the-Hard-Way has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Learn-Python-the-Hard-Way has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Learn-Python-the-Hard-Way is current.

Quality

Learn-Python-the-Hard-Way has no bugs reported.

Security

Learn-Python-the-Hard-Way has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Learn-Python-the-Hard-Way 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.

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Learn-Python-the-Hard-Way 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.

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Learn-Python-the-Hard-Way Key Features

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Learn-Python-the-Hard-Way Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install Learn-Python-the-Hard-Way

You can download it from GitHub.
You can use Learn-Python-the-Hard-Way 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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