The Theory of Debugging
What do you do when you have a bug? Using a well defined process instead of looking everywhere, can change the issue resolution process.
Tutorials
Feedback from calling Rust from Python
Improving low-level integration with ctypes to the generic ready-to-use pyo3 library.
Explore project structure with IntelliJ IDEA's Dependency Matrix
Use IntelliJ IDEA's Dependency Matrix to explore the structure of your project and the dependencies between components.
Integrate executable Java code in your blog posts
Thanks to JDoodle you can now also add executable code to your Foojay content!
Python "magic" methods - part 2
Let's continue our exploration of Python's magic methods in this second part of the series.
Python "magic" methods - part 1
Java was the first language I used professionally and is the scale by which I measure other languages I learned afterward. Hence, Python …
Not a Single Trace
Observability is an orchestra, not a single instrument. By combining multiple data points we form an accurate production narrative.
Debugging Tips and Tricks: A Comprehensive Guide
Master the art of debugging with strategies like Rubber Ducking, leveraging tools, and systematic checklists. Turn challenges into puzzles!
The Systemic Process of Debugging
Explore the academic theory of the debugging process, focuse on issue tracking, team communication & the balance of unit to integration …
Eliminating Bugs Using the Tong Motion Approach
Delve into a two-pronged strategy that streamlines debugging, enabling developers to swiftly pinpoint and resolve elusive software glitches.