If you use Excel 40 hours a week (and those are the weeks you are on vacation), welcome to the MrExcel channel. Home to 2,400 ...

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

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Abstract: The National Renewable Energy Laboratory (NREL) Python panel-segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Abstract: How our software development team used an open source Python library and the popular modeling notation, BPMN, to shed light on a set of complex approval processes at a university. In the ...

Vizro is an open-source Python toolkit by McKinsey that makes it easy to build beautiful, production-ready data visualization apps. With just a few lines of configuration (via JSON, YAML, or Python ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...

In zarr V2, creating an array would assume the default compression (blosc); to get uncompressed data, you would pass compression=None. In v3, if writing zar_version=2 data, compression=None results in ...