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 ...

Anaconda Inc., the provider of one of the world’s most widely used and trusted data science and AI platforms, announced the beta availability of Anaconda Distribution for Python in Excel, a new ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Intel Distribution for Python adds Intel's high-speed math libraries to the existing, highly convenient Anaconda version for data scientists The conventional wisdom about Python is that it makes your ...

Anaconda 5.2 adds job scheduling, support for GPUs, and integration with version control systems including Git and GitHub Anaconda, the Python language distribution and work environment for scientific ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. The ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...