In this section, I share links to articles, blog
posts, and books that I've come across.
As someone who consumes a lot of
technical information, I've found it challenging to keep track of
everything I've read and to find specific articles when I need to refer
back to them for research or development.
This section serves
two purposes for me: first, it helps me to organize my thoughts and
better understand the material by summarizing it and condensing it into
a few sentences. Second, it provides a way for me to discipline myself
by making a daily commitment to reading and summarizing technical
content. I hope that my summaries and reviews can also be helpful to
others who are interested in these topics.
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.