Articles

Handling an ExecutionException in Java requires understanding its root cause and applying the right strategy to ensure smooth execution in concurrent environments. Practical solutions include unwrapping the exception with getCause() and implementing structured error handling.

Closures are a powerful feature of Python that allow you to create quick mini classes without the need for a full class definition.

A singleton is a design pattern that restricts the instantiation of a class to one single instance. This is useful when exactly one object is needed to coordinate actions across the system. In Python, there are several ways to implement singletons, including using modules, classes, and decorators.

Before Python 3.3, the `__init__.py` file was used to mark a directory as a Python package. It can be empty, but it can also contain code that initializes the package or sets up the package namespace. In modern Python, it is still useful for defining the package interface and providing a consistent API for users.

Caching JAXB instances can significantly improve performance in Java applications. It reduces the overhead of creating new instances and allows for better resource management. See benchmarks comparing caching vs. non-caching approaches.

Dynamically importing modules in Python can be done using the importlib module, which provides a way to import modules programmatically. This can be useful for loading modules at runtime based on certain conditions or configurations.

Although Python does not have a switch statement, there are several ways to implement similar functionality. You can use if-elif-else statements, dictionaries, or the match-case statement introduced in Python 3.10.

Python class and instance variables can trip you up if you don't know the difference. At first glance, they look the same, but they are not, and understanding the difference can save you a lot of headaches.

When you continuously submit tasks to an ExecutorService, you may run out of threads. But you can continue to submit tasks, and the ExecutorService will queue them up until a thread becomes available.

You do not need to put .env files in the same directory as your Python script. By using the dotenv package, you can store your .env files in a parent directory.