Working with dynamic strings is a common task in Python, especially when handling user input, generating markup, or building domain-specific text formats. Developers typically relied on f-strings or external templating...

Python has long included a built-in command-line helper for working with JSON through the json.tool module. It allowed developers to quickly pretty-print and verify JSON files without relying on external...

Clear and readable help text is essential for command-line applications. Before Python 3.14, the argparse module produced plain, monochrome help output, which could make longer option lists harder to read...

Working with compressed data is a common task in Python, whether you're reducing storage size, speeding up network transfers, or handling large datasets efficiently. Traditionally, developers imported compression tools directly...

Handling large amounts of data efficiently often means compressing it before storage or transfer. For years, Python developers depended on external libraries to work with modern compression formats like Zstandard...

Working with files and directories is a common task of many Python applications. Traditionally, copying files or entire directory trees relied on the shutil module. While effective, this approach often...

In Python, the try/except/finally construct is commonly used to ensure cleanup actions, such as closing files. Traditionally, Python allowed control flow statements like return, break, or continue inside a finally...

Managing files and directories is a common task in Python programs. For a long time, developers leaned on the shutil module to move files or entire directory trees. While reliable...

Working with dates and times often starts with converting strings into proper Python objects. Traditionally, Python developers relied on datetime.strptime for this task, even when they only needed a date...

The except clause in Python is used to handle runtime errors. It allows developers to catch one or more exception types and respond appropriately when something goes wrong. Since Python...