k3x | A UI for local Kubernetes clusters created with k3d | Continuous Deployment library

by inercia Python Version: v0.2.10 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | k3x Summary

k3x is a Python library typically used in Devops, Continuous Deployment applications. k3x has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

k3x is a graphical user interface for k3d, making it trivial to have your own local Kubernetes cluster(s).

Support

Quality

Security

License

Reuse

Support

k3x has a low active ecosystem.

It has 152 star(s) with 10 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 7 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of k3x is v0.2.10

Quality

k3x has 0 bugs and 0 code smells.

Security

k3x has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

k3x code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

k3x 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

k3x releases are available to install and integrate.

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

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

Top functions reviewed by kandi - BETA

kandi has reviewed k3x and discovered the below as its top functions. This is intended to give you an instant insight into k3x implemented functionality, and help decide if they suit your requirements.

Create a k3d cluster
Create the cluster
Generate the yaml chart
Returns the filename for the chart
Validate registry
Parse a registry
Get a safe string
Check if a docker image name is valid
Destroy a cluster
Activate a new cluster
Called when a new cluster cycle is created
Show confirmation dialog
Destroy the cluster
Add shortcuts section
Validate configuration
Return the kubeconfig value
Applies changes clicked
Prepares the app icon file
Find an executable file
Returns the timestamp of the created docker image
Creates a docker client
The IP address of the Docker container
Stops the K3D process
Check local registry
Apply a manifest to a given manifest
Called when an active cluster changes

Get all kandi verified functions for this library.

k3x Key Features

No Key Features are available at this moment for k3x.

k3x Examples and Code Snippets

No Code Snippets are available at this moment for k3x.

Community Discussions

Trending Discussions on k3x

How to Change into Vector Form

How to create a Single Vector having 2 Dimensions?

Python scalable parallel processing for small calculations

QUESTION

How to Change into Vector Form

Asked 2020-Oct-05 at 16:17

I previously posted the question How to create a Single Vector having 2 Dimensions? , and with some helpful answers I was able to change up my code.

In that previous question I was asked not to separate my values of 'x' and 'v', but use a single vector 'x' that has two dimensions ( i.e. 'x' and 'v' can be handled by x(1) and x(2) ).

With that in mind I was able to change:

...

ANSWER

Answered 2020-Oct-05 at 16:17

Define

Source https://stackoverflow.com/questions/64206971

QUESTION

How to create a Single Vector having 2 Dimensions?

Asked 2020-Sep-28 at 12:45

I have used the Equation of Motion (Newtons Law) for a simple spring and mass scenario incorporating it into the given 2nd ODE equation y" + (k/m)x = 0; y(0) = 3; y'(0) = 0.

I have then been able to run a code that calculates and compares the Exact Solution with the Runge-Kutta Method Solution.

It works fine...however, I have recently been asked not to separate my values of 'x' and 'v', but use a single vector 'x' that has two dimensions ( i.e. 'x' and 'v' can be handled by x(1) and x(2) ).

MY CODE:

...

ANSWER

Answered 2020-Sep-28 at 12:43

Unsure of your exact expectations of what you are wanting besides just having a 2 lists inside a single list. Though I do hope this link will help answer your issue. https://www.tutorialspoint.com/python_data_structure/python_2darray.htm?

Source https://stackoverflow.com/questions/64102275

QUESTION

Python scalable parallel processing for small calculations

Asked 2020-Jul-08 at 21:46

I'm working on a project that is essentially numerical integration (Runge-Kutta) for the path of potentially hundreds of particles in a vector field. I have explored using Dask to parallelize the task but I'm not sure if my problem aligns with Dask's specialty. Dask is good for operating on larger than memory data by leveraging parallel processing (where each calculation could take a minute). My problem is more about 100,000s of 1 second calculations.

Just to show what one of the calculations would be:

...

ANSWER

Answered 2020-Jul-08 at 21:46

Dask is typically used for on-disk or distributed data processing, it's not the best tool to use in this particular case.

Instead, consider using Cython/Numba/Pypy to implement number-crunching, like in the example of yours. This will bypass GIL by pre-compiling functions into binary libraries, which CPython can then use natively. This results in 5-10x speedup, depending on a task at hand.

Moreover, if your particles can be processed in parallel, you should consider multiprocessing/ray to further leverage multiple cpu cores.

If you do this two steps and still struggle with performance, check algorithm asymptotics and look for the alternative algorithm.

Source https://stackoverflow.com/questions/62803870

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

Vulnerabilities

No vulnerabilities reported

Install k3x

You can download it from GitHub.
You can use k3x 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.