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Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...
High-throughput synapse profiling reveals cell-type-specific spatial configurations in the fly brain
Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...
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Web VPython; Making Histograms and a Normal DistributionPhysics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Transform Excel with Python integration: automate tasks, analyze data, and uncover insights for smarter decisions. This workflow upgrade ...
Today it is only possible to export native histograms using the classic (not OpenMetrics) Protocol Buffers (protobuf) scrape format. Many users prefer the text format, and some client libraries, such ...
This eGuide explores and demonstrates how, through analysis of textual data in FastStats, you can: Separate good reviews from bad reviews Identify positive and negative sentiment in posts Use word ...
In this post, we discuss three methods to identify and remove specific words and phrases in unstructured text data.
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