Vous trouverez dans ces liens utiles des lectures et des outils qui n'ont pas pu être présentés dans le cours.
* Pycharm (Il y a une licence pour l'université)
Syllabus Lesson 1: How Debuggers work Theory: Scientific method and its application to debugging. Fun fact: First bug in the history of computer science. Practice: Building a simple tracer. Lesson 2: Asserting Expectations Theory: Assertions in testing and in debugging. Fun fact: The most expensive bug in history. Practice: Improving the tracer. Lesson 3: Simplifying Failures Theory: Strategy of simplifying failures. Binary search. Delta debugging principle. Fun fact: Mozilla bugathon. Practice: Building a delta debugger. Lesson 4: Tracking Origins Theory: Cause-effect chain. Deduction. Dependencies. Slices. Fun fact: Sherlock Holmes and Doctor Watson. Practice: Improving the delta debugger. Lesson 5: Reproducing Failures Theory: Types of bugs (Bohr bug, Heisenbug, Mandelbug, Schrodinbug). Systematic reproduction process. Fun fact: Mad laptop bug. Practice: Building a statistic debugging tool. Lesson 6: Learning from Mistakes Theory: Bug database management. Classifying bugs. Bug maps. Learning from mistakes. Fun fact: Programmer with the most buggy code. Practice: Improving your tools and practicing on a real world bug database.
Pour les applications web, il est possible d'améliorer la latence par l'utilisation d'un CDN (Content Delivery Network) qui héberge les librairies les plus populaires au plus près de l'internaute.