Object Internals in Python - Mridu Bhatnagar Who am I? - Python - - PowerPoint PPT Presentation

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Object Internals in Python - Mridu Bhatnagar Who am I? - Python - - PowerPoint PPT Presentation

Aug 19, 2022 663 likes •1.08k views

Object Internals in Python - Mridu Bhatnagar Who am I? - Python Enthusiast - Backend Developer by profession. - I love speaking at various meetup groups and conferences. - Twitter handle - @Mridu__ - objects - memory address Learning -

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Object Internals in Python

  • Mridu Bhatnagar
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Who am I?

  • Python Enthusiast
  • Backend Developer by profession.
  • I love speaking at various meetup groups and

conferences.

  • Twitter handle - @Mridu__
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Learning Objectives

  • objects
  • memory address
  • type of objects (mutable

and immutable objects)

  • difference between is vs ==
  • perator
  • optimizations
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An object is an entity that has attribute and methods associated with it.

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Example:

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The location where the object gets stored in memory is referred to as memory address.

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Pictorial Representation

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id(object) - id is a built-in function. It is used to determine the memory address of the object.

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Mutable objects and Immutable objects.

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Objects of built-in type (list, dictionary, sets) are mutable.

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Objects of built-in type (int, float, bool, str, tuple) are immutable.

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Difference between is vs == operator

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Different use cases to discuss memory

  • ptimization in Python
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  • 1. Sort and Sorted built-in methods
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  • 2. Concept of Integer Caching
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  • 3. Concept of String Interning
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As the Python code compiles identifiers are interned.

  • variable names
  • function names
  • class names

Rule: * start with _ or a letter. * may contain _, letter, numbers.

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  • 4. Copying List using Assignment
  • perator
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  • 5. Shallow Copy in Lists
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The outermost container is duplicated, but the copy is filled with references to the same items held by the original container.

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  • 6. Deep Copy in Lists
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Duplicates do not share references of embedded objects.

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Why is it important to learn object internals?

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* operator copies the memory references

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Summary

  • object internals
  • memory address use cases
  • type of objects (mutable,

immutable)

  • difference between is vs ==
  • perator
  • optimizations
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