
Coding matters: Predictions and insults
There are so many different views about AI and whether it is good or bad. The one reliable prediction is that the term AI is going to be used a lot.

There are so many different views about AI and whether it is good or bad. The one reliable prediction is that the term AI is going to be used a lot.

Lewis looks at how floating point numbers are represented in computer memory, and introduces the problem of quantitization error.

Glue work refers to the less glamorous work that needs to happen to make a team successful. But it can feel unproductive and unrewarded. Jacqui reminds us that it is important and needs to be commended.

Lewis explains how integral numbers are represented in computer memory. Java has four primitive integral data types.

Programmers need to understand how numbers are represented in computer memory. This knowledge is useful during debugging. Lewis starts with a recap of how positional numbering works.

Lewis discusses default, static and private methods in Java interfaces.

Learn to program in 5 minutes! Except that you can’t. There is no miraculous way to learn new skills in minutes.

Lewis introduces a new enhancement in Java: statements before super()

Lewis explains the instanceOf operator for pattern matching, and how to use the JEP documents to keep informed of new Java developments.

Lewis gets curious: which JVM/JDK versions are developers actually using, and from which manufacturers? He takes a look at various reports.
Check that incusdata.com is an approved sender, so that your Java tips don’t land up in the spam folder.
Our privacy policy means your data is safe. You can unsubscribe from these tips at any time.
Thank you for completing the form. We're excited that you have chosen to contact us about training. We will process the information as soon as we can, and we will do our best to contact you within 1 working day. (Please note that our offices are closed over weekends and public holidays.)
Our privacy policy ensures your data is safe: Incus Data does not sell or otherwise distribute email addresses. We will not divulge your personal information to anyone unless specifically authorised by you.
If you need any further information, please contact us on tel: (27) 12-666-2020 or email info@incusdata.com