In this short guide, you’ll see how to download and install Julia from scratch. You’ll also see how to run a simple code in Julia. Here are the steps that you may follow. Steps to Download and Install Julia on Windows Step 1: Download Julia To begin, go to julialang.org/downloads and then click on the … Read more
You can export your DataFrame to CSV in Julia using this template: using CSV CSV.write(“Path where your CSV file will be stored\\File Name.csv”, df) Next, you’ll see the complete steps to apply the above template in practice. Steps to Export DataFrame to CSV in Julia Step 1: Install the Relevant Packages If you haven’t already … Read more
The following template can be used to create a DataFrame in Julia: using DataFrames df = DataFrame(column_1 = [“value_1”, “value_2”, “value_3”, …], column_2 = [“value_1”, “value_2”, “value_3”, …], column_3 = [“value_1”, “value_2”, “value_3”, …], … ) In the next section, you’ll see the steps to create a DataFrame in Julia from Scratch. Steps to Create … Read more
You can use the following template in order to import a CSV file into Julia: using CSV using DataFrames CSV.read(“The path where your CSV file is stored\\File Name.csv”, DataFrame) Next, you’ll see the full steps to import a CSV file into Julia using a simple example. Steps to Import a CSV File into Julia Step 1: … Read more
The general code to install a package in Juila is: using Pkg Pkg.add(“Package Name”) In the next section, you’ll see the steps to install the DataFrames package for illustration purposes. Steps to Install a Package in Julia Step 1: Open the Julia Command-Line To start, open the Julia command-line, also known as the REPL (read-eval-print-loop): julia> … Read more
In this short guide, you’ll see the steps to add Julia to Jupyter Notebook from scratch. Steps to add Julia to Jupyter Notebook Step 1: Download and Install Julia If you haven’t already done so, download Julia for your operating system. Follow the instructions to complete the installation on your system. Step 2: Open the … Read more
