Linking cellular activity to network-level computation remains a major goal in neuroscience. We introduce a robust method to infer directed, functional cell–cell connectivity in large cell populations ...

Minimalist plotting for Python, inspired by Edward Tufte’s principles of data visualization. Maximising the data–ink ratio: remove non-essential lines, marks, and colours. Content-driven spines and ...

A data science writer with five years of experience. Differential privacy has become a standard framework for applying strict individual privacy protection. It provides a controlled way to ingest ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

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Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...

Recent years have seen several hybrid simulation methods for exploring the conformational space of proteins and their complexes or assemblies. These methods often combine fast analytical approaches ...

Python libraries are a fun and accessible way to get started with learning and using Python for SEO. A Python library is a collection of useful functions and code that allow you to complete a number ...