- local https://github.com/kubernetes-sigs/kind (or just use minikube if it works for you)
- cloud https://cloud.google.com/kubernetes-engine (for PersistentVolume and Ingress, I needed to try the real deal)
- practice environment: https://github.com/arush-sal/cka-practice-environment
I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.
So below I made a list of leetcode problems that are as close to grokking problems as possible.
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| # List unique values in a DataFrame column | |
| # h/t @makmanalp for the updated syntax! | |
| df['Column Name'].unique() | |
| # Convert Series datatype to numeric (will error if column has non-numeric values) | |
| # h/t @makmanalp | |
| pd.to_numeric(df['Column Name']) | |
| # Convert Series datatype to numeric, changing non-numeric values to NaN | |
| # h/t @makmanalp for the updated syntax! |