Question 1

How to run parallel each in go-underscore?

Accepted Answer

Use the EachP function provided in the library; it concurrently applies iterator functions to collections using worker pools. Ensure your iterator functions are thread-safe, as shown in the README example with parallel execution for slices and maps.

Question 2

go-underscore or vanilla Go loops for better performance?

Accepted Answer

Vanilla Go loops are more idiomatic and often faster due to no interface{} overhead, while go-underscore adds functional patterns and parallel processing. Choose based on whether code conciseness and concurrency outweigh raw performance and Go conventions.

Question 3

Is go-underscore actively maintained and stable?

Accepted Answer

No, the README states it's in heavy flux, meaning active development but with unstable APIs. It's better for learning or prototyping, not production where reliability is key.

Question 4

How to make a typed map function with go-underscore?

Accepted Answer

Use the MakeMap helper: declare a function type like 'var SMap func([]string, func(string) string) []string' and call 'un.MakeMap(&SMap)', as illustrated in the README code snippet for creating type-safe map operations.

Question 5

What collections does go-underscore support?

Accepted Answer

It supports both slices and maps, with iterator functions adapting arguments accordingly—value/index for slices and value/key for maps. The ToI utility also helps convert slices to []interface{} for generic operations.

Question 6

How does go-underscore compare to other Go FP libraries like 'lo'?

Accepted Answer

go-underscore offers unique parallel execution features but is less stable and idiomatic; libraries like 'lo' or Go's standard 'slices' package provide more robust, type-safe alternatives with better community support, though they may lack built-in concurrency.

go-underscore

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