Merge pull request #5143 from stewart-yu/patch-33
Update access-cluster.md
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@@ -134,7 +134,7 @@ If the application is deployed as a Pod in the cluster, please refer to the [nex
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#### Python client
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To use [Python client](https://github.com/kubernetes-incubator/client-python), run the following command: `pip install kubernetes` See [Python Client Library page](https://github.com/kubernetes-incubator/client-python) for more installation options.
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To use [Python client](https://github.com/kubernetes-incubator/client-python), run the following command: `pip install kubernetes`. See [Python Client Library page](https://github.com/kubernetes-incubator/client-python) for more installation options.
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The Python client can use the same [kubeconfig file](/docs/user-guide/kubeconfig-file)
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as the kubectl CLI does to locate and authenticate to the apiserver. See this [example](https://github.com/kubernetes-incubator/client-python/tree/master/examples/example1.py).
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@@ -235,7 +235,7 @@ $ kubectl cluster-info
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This shows the proxy-verb URL for accessing each service.
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For example, this cluster has cluster-level logging enabled (using Elasticsearch), which can be reached
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at `https://104.197.5.247/api/v1/namespaces/kube-system/services/elasticsearch-logging/proxy/` if suitable credentials are passed, or through a kubectl proxy at, for example:
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at `https://104.197.5.247/api/v1/namespaces/kube-system/services/elasticsearch-logging/proxy/` if suitable credentials are passed. Logging can also be reached through a kubectl proxy, for example at:
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`http://localhost:8080/api/v1/namespaces/kube-system/services/elasticsearch-logging/proxy/`.
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(See [above](#accessing-the-cluster-api) for how to pass credentials or use kubectl proxy.)
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