This week, I am attending the MVP Summit in Seattle, which has me over the moon because it’s the first one I attend, hopefully the first of many. I finally get to interact with other MVPs from all different parts of the world in person 🎉🎉

I am up at an ungodly hour, severely jetlagged, because I promised myself and you that I would publish this newsletter every fortnight. Help me, God. Now that I think about it, I should have added a clause for as long as I live, just in case!

I hope you have had a lovely week and look forward to welcoming a new month full of joy and opportunities.

For this, almost last week, we will read about algorithms and learn how to implement them using Python code.

In Django, we typically use the ORM (Object-Relational Mapper), which abstracts the SQL we employ. However, understanding the journey of a SQL query through a database is valuable for debugging.

How do you know what you don’t know? Reading! Here are a couple of Computer Science papers every developer should read. The research papers have been instrumental in how we use computers, specifically programming in general, and help predict the future of what’s to come.

How do you find orphaned tables in Django without their corresponding models?

This article covers the core concepts of CI/CD pipelines, explaining their function and importance within today's software development practices. It's informative because it exemplifies the CI/CD workflow with practical applications and tools like GitHub Actions and offers tips for improving pipeline efficiency.

How can you leverage AI to work for you? Here are seven steps to level up your AI prompts.

Django uses the MVT(Models-Views-Templates) architecture, which means models define your database, views are your application logic, and templates present the data to the user. This article explains other architectural patterns, including MVC(Model-View-Controller), MVP(Model-View-Presenter), and MVVM(Model-View-ViewModel).

The word of the day is garble, which means to make something unclear, confused, or distorted. Garble can happen unintentionally, like when a message gets messed up during transmission, or someone misremembers details. It can also be intentional when someone deliberately twists words or information to change their meaning or create a false impression. In either case, the result is a loss of clarity and accuracy.

Example in a sentence:

She garbled the directions in her haste, leading the tourists astray.

I am making my grand departure into the unknown.

Until the next fortnight, my treasured reader, go forth, and may the odds ever be in your favour!