dev-best-practices | Development Best Practices | Architecture library

by trein Python Version: Current License: No License

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

kandi X-RAY | dev-best-practices Summary

dev-best-practices is a Python library typically used in Architecture applications. dev-best-practices has no bugs, it has no vulnerabilities and it has low support. However dev-best-practices build file is not available. You can download it from GitHub.

Development Best Practices

Support

Quality

Security

License

Reuse

Support

dev-best-practices has a low active ecosystem.

It has 197 star(s) with 43 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of dev-best-practices is current.

Quality

dev-best-practices has 0 bugs and 5 code smells.

Security

dev-best-practices has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dev-best-practices code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dev-best-practices 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

dev-best-practices releases are not available. You will need to build from source code and install.

dev-best-practices has no build file. You will be need to create the build yourself to build the component from source.

dev-best-practices saves you 11 person hours of effort in developing the same functionality from scratch.

It has 32 lines of code, 11 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Compare two module level function .
Initialize parameters .
An example generator .
Example method .
Special handling .
Private method .

Get all kandi verified functions for this library.

dev-best-practices Key Features

No Key Features are available at this moment for dev-best-practices.

dev-best-practices Examples and Code Snippets

No Code Snippets are available at this moment for dev-best-practices.

Community Discussions

Trending Discussions on dev-best-practices

Docker multistage build - why build in docker?

QUESTION

Docker multistage build - why build in docker?

Asked 2020-Apr-03 at 12:42

Docker/java newbie here. In this doc I see:

Use multistage builds. For instance, you can use the maven image to build your Java application, then reset to the tomcat image and copy the Java artifacts...

I understand that we use containerization to ensure the runtime environment of the application is exactly as needed, but why do we need to run build in container too? Wouldn't it be enough to have an CI/CD pipeline which

cleans build cache if/when/where needed
just runs build again
creates docker image using new artifacts?

...

ANSWER

Answered 2020-Apr-02 at 21:35

If your build artifacts are portable and you don't consider the host build environment onerous, there's absolutely nothing wrong with doing it the way you describe. If you look at Java Docker questions around SO, almost all of them have Dockerfiles like

Source https://stackoverflow.com/questions/61000461

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

Vulnerabilities

No vulnerabilities reported

Install dev-best-practices

You can download it from GitHub.
You can use dev-best-practices 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

This document is a work-in-progress. In order to contribute to it, create a pull request with your change and add the motivation in the summary of your commit.

Find more information at: