Python is already an elegant language to program. But it doesn’t mean there is no room for improvement.<\/p>\n\n\n\n
Pipe\u00a0is a beautiful package that takes Python’s ability to handle data to the next level. It takes a\u00a0SQL-like declarative approach\u00a0to manipulate elements in a collection. It could\u00a0filter, transform, sort, remove duplicates, perform ‘group by’ operations, and a lot more without needing to write a gazillion lines of code.<\/p>\n\n\n\n
In this little post, let’s discuss simplifying our Python code with Pipe. Most importantly, we’ll construct custom reusable pipe operations to reuse in our project.<\/p>\n\n\n\n
Let’s begin with<\/p>\n\n\n\n
If you’re wondering how you’d set it up, you can easily install Pipe<\/b><\/a> with PyPI. Here’s what you need to do.<\/p>\n\n\n\n