3 posts tagged with "KDB Learning"

So, you've delved into 'Q for Mortals' and a few other fundamental references I shared with you in my previous post, immersed yourself in code, tutorials, and successfully tackled your initial tasks. However, as you progress, you inevitably encounter that frustrating error. You try the different approaches you normally attempt when running into an error but you've exhausted every strategy, set breakpoints, meticulously stepped through the code, and yet, you can't figure out what's wrong with your code. Maybe you've encountered a challenge you are unsure how to tackle or perhaps you simply want to ensure your solution is optimal, whether in terms of execution time or memory usage. In any of these scenarios, the need for assistance arises, and in this blog post, we'll look at the different options for help with your KDB/Q challenges.

In my previous blog post, I shared my favourite Go-To KDB/Q Learning Resources to help you to get started. However, as you dive deeper into the KDB/Q programming language and you begin to read and review other's code you might experience a slight sense of overwhelm. Two main characteristics of KDB/Q, namely its terseness and and its left-of-right evaluation order (KDB/Q expressions are evaluated left-of-right which equates to expressions are evaluated right-to-left), can pose initial challenges for new KDB/Q developers. It's important to overcome these hurdles and become familiar with these features as you progress.

In this blog post, I'll be sharing my favourite KDB/Q learning resources. These are the go-to references that most experienced KDB/Q developers will have encountered, offering an excellent starting point for anyone looking to dive into the world of KDB/Q.