Testing-AWS | GitHub repository for AWS CodeStar Python

by kiran-capoor94 HTML Version: Current License: No License

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

kandi X-RAY | Testing-AWS Summary

Testing-AWS is a HTML library. Testing-AWS has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This sample code helps get you started with a simple Django web application deployed by AWS Elastic Beanstalk.

Support

Quality

Security

License

Reuse

Support

Testing-AWS 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.

Testing-AWS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Testing-AWS is current.

Quality

Testing-AWS has no bugs reported.

Security

Testing-AWS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Testing-AWS 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

Testing-AWS releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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Testing-AWS Key Features

No Key Features are available at this moment for Testing-AWS.

Testing-AWS Examples and Code Snippets

No Code Snippets are available at this moment for Testing-AWS.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Testing-AWS

These directions assume you want to develop on your local computer, and not from the Amazon EC2 instance itself. If you’re on the Amazon EC2 instance, the virtual environment is already set up for you, and you can start working on the code. To work on the sample code, you’ll need to clone your project’s repository to your local computer. If you haven’t, do that first. You can find instructions in the AWS CodeStar user guide.
Create a Python virtual environment for your Django project. This virtual environment allows you to isolate this project and install any packages you need without affecting the system Python installation. At the terminal, type the following command: $ virtualenv .venv
Activate the virtual environment: $ activate ./venv/bin/activate
Install Python dependencies for this project: $ pip install -r requirements.txt
(Optional) Enable Django’s debug mode for development: $ export DJANGO_DEBUG=True
Start the Django development server: $ python manage.py runserver
Open http://127.0.0.1:8000/ in a web browser to view your application.

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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