Python has some wonderful libraries for statistical analysis, but they might be overkill for simple tasks. The built-in statistics library might be what you want instead. Here are some things you can ...

You may have heard about NumPy and wondered why it seems so essential to data analysis in Python. What makes NumPy seemingly end up everywhere in statistical calculations with Python? Here are some ...

The current version of the popular NumPy library relies on unsafe default usage of a Python module that could lead to remote code execution in the context of the affected application. The issue was ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

As Python’s popularity rises, its limitations are becoming more clear. For one thing, it can be very hard to write a Python application and distribute it to people who don’t have Python installed. The ...