Exploring Julia Programming Language: Data Manipulation (Part 3)

Member-only story Jose D. Hernandez-Betancur Follow DataDrivenInvestor -- 1 Share Using Julia for Data Manipulation in Data Science Welcome back to our journey through the fascinating world of Julia

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Jose D. Hernandez-Betancur

DataDrivenInvestor

Using Julia for Data Manipulation in Data Science

Welcome back to our journey through the fascinating world of Julia programming 👋🤗 ! From its high performance to its user-friendly syntax, Julia is revolutionizing various domains, from scientific computing to machine learning.

In this third post of the series, we continue our focus on data manipulation (see below 👇). Julia’s data handling skills come through whether you’re working with enormous datasets or executing sophisticated data transformations, making it a fantastic option for data scientists, engineers, and analysts alike.

This article presents one DataFrames-related package: Query. Let’s dive in! 🏎️🔥

medium.datadriveninvestor.com

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See my past articles on creating cutting-edge machine learning models from scratch in Julia 👇:

pub.towardsai.net

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Exploring Julia Programming Language: Data Manipulation (Part 3)