Python Tutorial: Masking numpy arrays, functions, loops, conditions | Melissa Weber

Welcome to the LIBREhub workshop!
This video (part 3/3) is a refresher of the programming basics in Python for bioimage analysis and includes an overview of masking numpy arrays, functions, loops, and conditions.
By Melissa Weber

This talk was recorded as part of a workshop consisting of several presentations and practical sessions complemented by training material made available online:

This workshop will give you an overview of the application possibilities of Python and the Napari viewer for bioimage analysis.

The LIBRE_hub project connects international speakers with the Latin American bioimaging community through a wide range of topics related to open source technologies.
On our channel you will also find other seminars on relevant topics. Please subscribe to the channel for more free seminars.

What does LIBRE_hub stand for?
The Latin American Hub for Bioimaging Through Open Hardware (LIBRE_hub) is a training network for open source bioimaging hardware in Latin America with the goal to empower regional researchers through practical workshops, seminars, networking, and online resources adapted to local needs and re-published in local languages.

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