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Julia is a high-level and general-purpose language that can be used to write code that is fast to execute and easy to implement for scientific calculations. The language is designed to keep all the needs of scientific researchers and data scientists to optimize the experimentation and design implementation. Julia (programming language).
“Julia was built for scientific computing, machine learning, data mining, large-scale linear algebra, distributed and parallel computing”-developers behind the Julia language.
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In this article, I will be discussing the advantages of Julia language and I will display how it’s easy to use DataFrame.jl, just like pandas in python. I will use simple examples and a few lines of code to demonstrate data manipulation and data visualization. We will be using the famous Heart Disease UCI | Kaggle Dataset which has a binary classification of Heart Disease based on multiple factors.
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I will display how it’s easy to use DataFrame.jl, just like pandas in python. I will use simple examples and a few lines of code to demonstrate data manipulation and data visualization. We will be using the famous Heart Disease UCI | Kaggle Dataset which has a binary classification of Heart Disease based on multiple factors.
https://deepnote.com/project/Julia-Dataframes-VcKJvz5LT6KEPsX4IKb7ugAre you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?