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Julia's Use in Nuclear Physics Data Analysis: A Case Study

Offered By: The Julia Programming Language via YouTube

Tags

Julia Courses Data Analysis Courses Scientific Computing Courses Particle Physics Courses Nuclear Physics Courses High Performance Computing Courses Exploratory Data Analysis Courses

Course Description

Overview

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Explore the application of Julia in nuclear physics data analysis through a case study presented at JuliaCon 2024. Discover how Julia's high-performance capabilities and dynamic nature make it an ideal choice for processing large volumes of data in nuclear physics experiments. Learn about the advantages of using a single language for both efficient data processing and exploratory analysis, eliminating the need for mastering multiple programming languages. Gain insights into how Julia's easily accessible multi-processing features enable researchers to fully utilize modern multi-core machines. Understand the benefits of consistent code writing from raw file interpretation to publication figures, enhancing maintainability, reusability, and ease of training for new team members in nuclear physics research groups.

Syllabus

Julia's use in nuclear physics data analysis: study of a case | Miernik | JuliaCon 2024


Taught by

The Julia Programming Language

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