When working with Perl, choosing the right tool for data visualization can enhance readability and debugging efficiency. Two popular modules for this purpose are Data::Dumper
and Data::Printer
. Each has its own unique features and best practices:
Data::Dumper
is highly compatible with a wide range of Perl versions, making it a safe choice for applications requiring backward compatibility.Data::Dumper
for straightforward data structures where a simple string representation suffices.Indent
and Sortkeys
to create more readable output.Data::Printer
provides color-coded output, making it easy to differentiate data types at a glance.
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?