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Import Statements: Top or Bottom?
Home Backend Development Python Tutorial To Import or Not to Import at the Top: Is Early Importing More Efficient Than Deferred Importing?

To Import or Not to Import at the Top: Is Early Importing More Efficient Than Deferred Importing?

Dec 08, 2024 am 06:35 AM

To Import or Not to Import at the Top: Is Early Importing More Efficient Than Deferred Importing?

Import Statements: Top or Bottom?

PEP 8 dictates that import statements reside at the top of a module, leaving some to question the efficiency of importing unused classes or functions early on. A comparison arises:

class SomeClass(object):

    def not_often_called(self):
        from datetime import datetime
        self.datetime = datetime.now()
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versus

from datetime import datetime

class SomeClass(object):

    def not_often_called(self):
        self.datetime = datetime.now()
Copy after login

Are deferred imports more efficient than upfront ones?

Although module importing is swift, it does incur a cost. By placing imports at the module's beginning, this trivial expense is paid once. However, confining imports to within functions prolongs its runtime with each function call.

Hence, for optimal efficiency, keep imports at the forefront. Only consider deferred imports if profiling reveals a performance bottleneck.

Beyond efficiency, additional justifications for lazy imports include:

  • Optional library support: Prevent code breakage when optional libraries are absent.
  • Plugin initialization: Imports within plugin initialization files allow module loading without usage. Examples exist in Bazaar plugins utilizing bzrlib's lazy-loading mechanism.

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