Generators provide lazy evaluation from "summary" of Fluent Python by Luciano Ramalho
Generators provide lazy evaluation, which means that they yield items one at a time using the yield keyword, rather than returning a whole list of items at once. This is a powerful concept because it allows us to work with large sequences of data without having to store them all in memory at once. By using lazy evaluation, we can create generators that only generate the next item in the sequence when it is actually needed. This can be much more memory-efficient than eagerly generating all the items upfront. Lazy evaluation is particularly useful when working with very large datasets that would not fit into memory all at once. Generators can be thought of as a way to generate items on-the-fly as they are requested, rather than generating everything upfront. This can lead to significant performance improvements in certain situations, especially when dealing with large datasets o...
Similar Posts
Graphs model relationships between entities with vertices and edges
Graphs are a fundamental data structure used to model relationships between entities. In a graph, entities are represented by v...
Perimeter is the distance around the boundary of a twodimensional shape
The distance around the boundary of a two-dimensional shape is known as its perimeter. The perimeter is calculated by adding up...
Arrays provide a way to store multiple elements
Arrays are a fundamental concept in the C programming language. They provide a convenient way to store multiple elements of the...
Files can be read and written in Python
Reading and writing files is a crucial aspect of any programming language, including Python. In Python, you can easily open, re...
Use modules to organize your Python code
When you start writing Python code, you'll likely find yourself creating more and more functions as your program grows. It can ...
Functions can be defined with “def” and lambdas
The concept of defining functions with “def” and lambdas is fundamental to Python programming. The “def” keyword is used to cre...
Dictionaries and sets are powerful and versatile
Dictionaries and sets are fundamental data structures in Python that are widely used due to their versatility and efficiency. D...
Strings are immutable sequences of Unicode code points
In Python, strings are immutable sequences of Unicode code points. Being immutable means that once a string object is created, ...