Lambda functions

In Python, there are three global functions that can be quite useful when working with collections: map(), filter(), and reduce(). In this blog post, we will focus on how to use the filter() function. Note: In some cases, using list comprehensions can be a more intuitive and Pythonic approach. The filter() function takes an iterable as input and returns a filter object, which is another iterable that contains only the items that pass a given filtering condition....

In my previous tutorial on Netlify, I discussed how to use it to host websites, including this blog. Netlify is a great platform for running sites, especially those built with Hugo, as it enables us to have a 100% JAMstack (JavaScript, APIs, and Markup) implementation. What makes JAMstack even more exciting is its ability to handle dynamic functionality. And a major player in enabling dynamic capabilities in JAMstack sites is Netlify Lambda Functions....

Lambda functions, also known as anonymous functions, are incredibly useful tools in Python. They are small, nameless functions that consist of a single expression as their body. In Python, lambda functions are defined using the lambda keyword: lambda <arguments> : <expression> It is important to note that the body of a lambda function must be a single expression, not a statement. The key distinction here is that an expression returns a value, while a statement does not....