python VS mccabe

One option is to use list_namespace(), as described in https://github.com/kubernetes-client/python/blob/master/kubernetes/docs/CoreV1Api.md

I have checked the python version == 2.7 and pip freeze - ipaddress==1.0.22, urllib3==1.24.1 and websocket-client==0.54.0 are the versions which satisfy the requirement - as mentioned here: https://github.com/kubernetes-client/python/blob/master/README.md#hostname-doesnt-matchfollowed the issue on this thread - https://github.com/kubernetes-client/python/issues/36 - not much help.

kubectl apply -f class.yamlkubectl apply -f rbac.yamlkubectl apply -f deployment-arm.yaml I want to use the kubernetes-client written in python to replace it. My current code, loads the there yaml files (using pyyaml), edits them a bit, inserts into a file and use the command line kubectl to execute those three commands. Some of the code:

In the Kubernetes Python client code it's called "klass":

https://github.com/kubernetes-client/python/blob/1a0cb469528e6b2bdeb3eb2c06945f1c22303dfd/kubernetes/client/api_client.py#L266

and in Apache ecosystem it's called clazz:

https://github.com/search?q=org%3Aapache+clazz&type=code

Just thought it was amusing and wanted to share

One way is to use configmap lock https://github.com/kubernetes-client/python/tree/master/kubernetes/base/leaderelection

I'm having trouble connecting to the kubernetes python client even though I'm following the examples here in the api.

As you can imagine, that's a lot of functions to choose from, luckily all of them are listed in docs and you can click on any one of them to get an example of its usage.

mccabe for Ned’s script to check McCabe complexity

Cyclomatic Complexity is a metric used to determine the stability of your code. It basically boils down to the more code you have the more problems that can arise in said code. There are even modules for python to check your cyclomatic complexity. It goes hand in hand with separating your code out into modules. I work for a FAANG company and we usually want to keep our cyclomatic complexity less than 10 with that tool above.

Mccabe—a Python complexity checker;

A more advanced best practice would be separating different functions of your code into different files to keep Cyclomatic Complexity low. More code usually = more problems can be in said code. There’s even a tool you can use to determine how complex your code is called mccabe. Lower is better with that

Flake8: a combination of following linters: PyFlakes, pycodestyle, Ned Batchelder’s McCabe script