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When importing modules in python, is there a memory difference when you import a single module from a package eg: from math import ceil vs the whole package eg: import math? I guess what I am really asking is whether or not it slows processing down when the script is run?
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Starting a Python interpreter and importing Python modules is relatively slow if you care about milliseconds. If you need to start hundreds or thousands of Python processes as part of a workload, this overhead will amount to several seconds of overhead.
When a module is first imported, Python searches for the module and if found, it creates a module object 1, initializing it. If the named module cannot be found, a ModuleNotFoundError is raised. Python implements various strategies to search for the named module when the import machinery is invoked.
Python is a primary language used by data scientists for data science projects, because of the presence of thousands of open-source libraries that can ease and perform a data scientist task. Over 235,000 Python packages can be imported through PyPl.
The rules are quite simple: the same module is evaluated only once, in other words, the module-level scope is executed just once. If the module, once evaluated, is imported again, it's second evaluation is skipped and the resolved already exports are used.
There is no difference between those. Raymond Hettinger, one of the core Python developers, recently tweeted this:
#python tip: from-imports don't save memory. They execute and cache the entire module just like a regular import.
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