Today, I encountered an interesting problem on LeetCode that required familiarity with the "Longest Increasing Subsequence" algorithm. Although my initial solution, which involved something similar to Monotonic Stack, was enough to pass the tests, I decided to explore the problem more deeply by requesting this subsequence for each element of the array.
A demo of the approach. Source: wikimedia.org
Just read a few articles dedicated to Data Engineering and Apache Kafka:
Main tools in Data Engineering
This is a great post on some of the most commonly used tools in Data
Engineering. It's short and to the point, with recommendations on where to
look to learn more.
Back in 2019, I used to keep a log of all the articles and posts I read on a daily basis. However, over time, I lost track of my reading habit and struggled to find and recall the information I had previously read. Recently, I decided to revive this daily ritual and start keeping track of my reading again.
I'm excited to kick off this new reading log with sources recommended by my good friend Ben. He's always been a valuable source of information and insights, and I'm eager to explore the articles he's suggested and share my thoughts on them.
“Polar vs Panda — We Bare Bears” By Miltonator
There are a lot of awesome dataframe libraries, and in this post, I would like to draw attention to their ergonomics by comparing Pandas and Polars Python libraries.