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Contribute to Kubernetes | Kubernetes
There are lots of ways to contribute to Kubernetes. You can work on designs for new features, you can document the code we already have, you can write for our blog. There's more: you can implement those new features or fix bugs. You can help people join our contributor community, or support existing contributors. With all these different ways to make a difference to the project, we - Kubernetes - have made a dedicated website: https://k8s.kubernetes.io/docs/contribute/Registered: Fri Nov 15 07:36:41 UTC 2024 - 426.4K bytes - Viewed (0) -
Reviewing pull requests | Kubernetes
Anyone can review a documentation pull request. Visit the pull requests section in the Kubernetes website repository to see open pull requests. Reviewing documentation pull requests is a great way to introduce yourself to the Kubernetes community. It helps you learn the code base and build trust with other contributors. Before reviewing, it's a good idea to: Read the content guide and style guide so you can leave informed comments.kubernetes.io/docs/contribute/review/reviewing-prs/Registered: Fri Nov 15 07:36:17 UTC 2024 - 438.7K bytes - Viewed (0) -
Contributing new content | Kubernetes
This section contains information you should know before contributing new content. flowchart LR subgraph second[Before you begin] direction TB S[ ] -.- A[Sign the CNCF CLA] --> B[Choose Git branch] B --> C[One language per PR] C --> F[Check out contributor tools] end subgraph first[Contributing Basics] direction TB T[ ] -.- D[Write docs in markdown and build site with Hugo] --- E[source in GitHub] E --- G['/content/../docs' folder contains docskubernetes.io/docs/contribute/new-content/Registered: Fri Nov 15 07:36:48 UTC 2024 - 430.8K bytes - Viewed (0) -
Image Augmentation — Apache MXNet documentation
Image Augmentation Augmentation is the process of randomly adjusting the dataset samples used for training. As a resu...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/data/data_augmentation....Registered: Fri Nov 15 07:42:56 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 186.6K bytes - Viewed (0) -
Kullback-Leibler (KL) Divergence — Apache MXNet...
Kullback-Leibler (KL) Divergence Kullback-Leibler (KL) Divergence is a measure of how one probability distribution is...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/kl_divergence.htmlRegistered: Fri Nov 15 07:42:21 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 177.9K bytes - Viewed (0) -
Indexing — Apache MXNet documentation
Indexing ndarrays can be indexed using the standard Python x[obj] syntax, where x is the array and obj the selection....mxnet.apache.org/versions/master/api/python/docs/api/np/arrays.indexing.htmlRegistered: Fri Nov 15 07:49:57 UTC 2024 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 167.6K bytes - Viewed (0) -
Çerez (Cookie) Parametreleri - FastAPI
FastAPI framework, high performance, easy to learn, fast to code, ready for productionfastapi.tiangolo.com/tr/tutorial/cookie-params/Registered: Fri Nov 15 07:50:01 UTC 2024 - 128.3K bytes - Viewed (0) -
Hakkında - FastAPI
FastAPI framework, high performance, easy to learn, fast to code, ready for productionfastapi.tiangolo.com/tr/about/Registered: Fri Nov 15 07:49:46 UTC 2024 - 105.6K bytes - Viewed (0) -
Concurrency ve async / await - FastAPI
FastAPI framework, high performance, easy to learn, fast to code, ready for productionfastapi.tiangolo.com/tr/async/Registered: Fri Nov 15 07:49:51 UTC 2024 - 146.5K bytes - Viewed (0) -
CORS (Cross-Origin Resource Sharing) - FastAPI
FastAPI framework, high performance, easy to learn, fast to code, ready for productionfastapi.tiangolo.com/tr/tutorial/cors/Registered: Fri Nov 15 07:49:32 UTC 2024 - 120.8K bytes - Viewed (0)