File extension for jupyter to discriminate between python and julia notebooks

When working with Jupyter notebooks, it is important to be able to discriminate between Python and Julia notebooks based on their file extension. This can help in organizing and managing your notebooks effectively. In this article, we will explore three different ways to solve this problem using Julia.

Solution 1: Using the FileIO package

The FileIO package in Julia provides a convenient way to handle file-related operations. We can use this package to check the file extension and determine whether it is a Python or Julia notebook.


using FileIO

function get_notebook_type(filename)
    ext = splitext(filename)[2]
    if ext == ".ipynb"
        return "Python"
    elseif ext == ".ijulia"
        return "Julia"
    else
        return "Unknown"
    end
end

filename = "notebook.ipynb"
notebook_type = get_notebook_type(filename)
println("Notebook type: ", notebook_type)

In this solution, we define a function get_notebook_type that takes a filename as input and returns the type of the notebook based on its extension. We split the filename using the splitext function to get the extension and then compare it with the known extensions for Python and Julia notebooks. Finally, we print the notebook type.

Solution 2: Using regular expressions

Regular expressions provide a powerful way to match patterns in strings. We can use regular expressions to extract the file extension and determine the notebook type.


function get_notebook_type(filename)
    match = match(r".(.*?)$", filename)
    if match === nothing
        return "Unknown"
    else
        ext = match.captures[1]
        if ext == "ipynb"
            return "Python"
        elseif ext == "ijulia"
            return "Julia"
        else
            return "Unknown"
        end
    end
end

filename = "notebook.ipynb"
notebook_type = get_notebook_type(filename)
println("Notebook type: ", notebook_type)

In this solution, we define a function get_notebook_type that takes a filename as input. We use the match function with a regular expression pattern to extract the file extension. If the match is successful, we compare the extension with the known extensions for Python and Julia notebooks. Finally, we print the notebook type.

Solution 3: Using the LibGit2 package

The LibGit2 package in Julia provides a way to interact with Git repositories. We can use this package to check the file extension by examining the Git repository and determine the notebook type.


using LibGit2

function get_notebook_type(filename)
    repo = LibGit2.GitRepo(filename)
    if LibGit2.isfile(repo, filename)
        ext = splitext(filename)[2]
        if ext == ".ipynb"
            return "Python"
        elseif ext == ".ijulia"
            return "Julia"
        else
            return "Unknown"
        end
    else
        return "Unknown"
    end
end

filename = "notebook.ipynb"
notebook_type = get_notebook_type(filename)
println("Notebook type: ", notebook_type)

In this solution, we define a function get_notebook_type that takes a filename as input. We create a Git repository object using the GitRepo function and check if the file exists in the repository using the isfile function. If the file exists, we extract the extension and compare it with the known extensions for Python and Julia notebooks. Finally, we print the notebook type.

Among the three options, Solution 1 using the FileIO package is the most straightforward and efficient way to solve the problem. It does not require any additional packages and provides a simple and clear solution. However, the choice of solution depends on the specific requirements and constraints of your project.

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