Object Internals In Python
Mridu Bhatnagar (~mridu) |
This talk is intended to explain to participants what is happening under the hood when they are playing around with different python built-in data structures. Some fun and confusing examples along the way.
Pre-requisites: Anyone who knows built-in python data structures like List, Dictionaries, set, etc.
Curiosity questions that the talk answers:
- What happens to the memory address when * operator is used?
- When does python create a new object in memory?
- What does it refer to the mutability and immutability of objects in Python?
- If the outer object is immutable but the reference objects are mutable. Can the elements be added?
- What is the difference at the memory level when we refer to deep copy and shallow copy in lists?
- Operations like List.sort and sorted in python? What to use, when to use? What happens at the memory level?
- What is the difference between is vs ==? When should it be used?
- Lots and lots of interesting examples.
- How do we determine the memory reference id associated with the object?
- Meaning of assigning a value to a variable in Python.
- objects 1 min
- types of objects (mutable, immutable) 2-3 min
- memory address ( id() method) 1 min
- difference between is operator vs == operator 5 minutes
- memory optimization
- difference between sort() and sorted() built-in method at memory level 2 min
- concept of integer caching 2 min
- string interning 5 min
- concept of shallow copy and deep copy in lists 5 min
- Why it is important to learn these concepts 3 min
- conclusion 1 min
- Basic understanding of built-in Python Data Structures
- Familiarity with basic Python programming.
Mridu is a Python Developer. She enjoys converting ideas into working applications. She loves giving talks at various community meetups and conferences.
- Blog - https://dev.to/mridubhatnagar
- Published Blogs
- List of Talks Delivered - https://hackmd.io/@tUEElFgvTmK75sO7Q-3_5g/rkCeJsCoL