Python
7 Python Memory Optimization Tricks To Enhance Your Code’s Efficiency
Manage computing resources skillfully
When your project becomes larger and larger, managing computing resources efficiently is an inevitable requirement.
Unfortunately, Python, especially when compared to lower-level languages like C or C++, seems not memory-efficient enough.
Should you change the programming language now?
Of course not.
In fact, there are many approaches that can optimize the memory usage of Python programs significantly, from excellent modules and tools to advanced data structures and algorithms.
This article will focus on Python’s built-in mechanisms and introduce 7 primitive but effective memory optimization tricks. Mastering them will enhance your Python programming skills significantly.
1. Use __slots__ in Classes Definitions
Python, as a dynamic typing language, has more flexibility when it comes to OOP. A good example is the capability of adding extra attributes and methods into a Python class at runtime.
For instance, the following code defines a class named Author. Originally it had two attributes name and age…
