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- App must target Android 15 (API level 35) or higher
3 To resolve this issue, I updated my app's build gradle file to target the required API level: android { compileSdkVersion 35 defaultConfig { targetSdkVersion 35 } } But you still got the warning then please remove the older bundles from the open close testing
- Spring Boot: Database Driver: unknown undefined Error While . . .
Database JDBC URL [Connecting through datasource 'HikariDataSource (HikariPool-3)'] Database driver: undefined unknown Database version: 9 0 1 Autocommit mode: undefined unknown Isolation level: undefined unknown Minimum pool size: undefined unknown Maximum pool size: undefined unknown
- How can I Git ignore subfolders subdirectories?
Notice how you have to explicitly allow content for each level you want to include So if I have subdirectories five deep under themes, I still need to spell that out This is from @Yarin's comment here: Using gitignore to ignore everything but specific directories These were useful topics: How do negated patterns work in gitignore?
- How to get the current log level in python logging module
The documentation page of logging doesn't mention level could be directly accessed through the logger object It only mentions getEffectiveLevel as the way to get the current log level
- How to simply add a column level to a pandas dataframe
I saw SO anwser like this python pandas: how to combine two dataframes into one with hierarchical column index? but this concat different dataframe instead of adding a column level to an already existing dataframe
- python - Rename Pandas DataFrame Index - Stack Overflow
You want to rename to index level's name: df index names = ['Date'] A good way to think about this is that columns and index are the same type of object (Index or MultiIndex), and you can interchange the two via transpose This is a little bit confusing since the index names have a similar meaning to columns, so here are some more examples:
- logging - When to use the different log levels - Stack Overflow
DEBUG – less granular compared to the TRACE level, but still more than you will need in everyday use The DEBUG log level should be used for information that may be needed for deeper diagnostics and troubleshooting INFO – the standard log level indicating that something happened, application processed a request, etc
- pandas groupby, then sort within groups - Stack Overflow
I want to group my dataframe by two columns and then sort the aggregated results within those groups In [167]: df Out[167]: count job source 0 2 sales A 1 4 sales B
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