{"id":119220,"date":"2022-01-18T11:02:00","date_gmt":"2022-01-18T16:02:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=119220"},"modified":"2022-11-21T09:50:55","modified_gmt":"2022-11-21T14:50:55","slug":"introduction-to-julia-part-iii","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/introduction-to-julia-part-iii\/","title":{"rendered":"Introduction to Julia \u2013 Part III"},"content":{"rendered":"\n

See Part I<\/a> of this series to get started with Julia programming and Part II<\/a> for instructions on how to install Julia<\/em>.<\/p>\n\n\n\n

How to run Julia in a Jupyter notebook?<\/strong><\/p>\n\n\n\n

To run Julia in a Jupyter notebook, you\u2019ll have to add a package \u201cIJulia\u201d that provides this feature. In your Julia terminal, type:<\/p>\n\n\n\n

  1. using Pkg<\/li>
  2. Pkg.add(\u201cIJulia\u201d)<\/li><\/ol>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    Run Julia in Jupyter Notebook<\/em><\/p>\n\n\n\n

    Julia is now added to your Jupyter Notebook.<\/p>\n\n\n\n

    1. Open your Jupyter notebook by typing \u201cjupyter-notebook\u201d on your anaconda terminal.<\/li>
    2. On the top right corner, click on \u201cNew\u201d.<\/li>
    3. Select \u201cJulia 1.6.3\u201d from the drop-down menu.<\/li>
    4. You\u2019re now ready to code in Julia using Jupyter Notebook!<\/li><\/ol>\n\n\n\n
      \"\"<\/figure>\n\n\n\n

      Code Julia using Jupyter Notebook<\/em><\/p>\n\n\n\n

      How to install packages in Julia?<\/h2>\n\n\n\n

      One of the first steps in getting started with any programming language is installing various packages for different purposes.<\/p>\n\n\n\n

      To add any packages in Julia, follow these steps:<\/p>\n\n\n\n

      1. using Pkg<\/li>
      2. Pkg.add(\u201cpackage-name\u201d)<\/li>
      3. using “package-name”<\/li><\/ol>\n\n\n\n

        If you\u2019re familiar with Python, the \u201cusing\u201d keyword in Julia is equivalent to \u201cimport\u201d in Python and \u201cpip install package-name\u201d in Python is equivalent to \u201cPkg.add(\u201cpackage-name\u201d)\u201d. \u201cPkg\u201d is the package manager in Julia.<\/p>\n\n\n\n

        For example – The screenshot below is an example of adding the package \u201cCSV.jl\u201d, which is used to read \u201c.csv\u201d files in Julia.<\/p>\n\n\n\n

        \"\"<\/figure>\n\n\n\n

        Adding Package in Julia<\/em><\/p>\n\n\n\n

        Basic packages in Julia<\/strong><\/h2>\n\n\n\n

        As I mentioned earlier, there are 6000+ registered packages<\/strong> in Julia.<\/p>\n\n\n\n

        Here are some packages that will help you get started with the most common operations:<\/p>\n\n\n\n

        1. CSV.jl<\/strong> is used to read .csv files,<\/li>
        2. XLSX.jl<\/strong> can be used for reading excel sheets,<\/li>
        3. JLD.jl<\/strong> for saving and loading Julia variables,<\/li>
        4. DataFrames.jl<\/strong> is used to manage dataframes.<\/li>
        5. Plots.jl<\/strong> is used for generating plots.<\/li>
        6. Images.jl<\/strong> for image processing,<\/li>
        7. RCall.jl<\/strong> and PyCall.jl<\/strong> for using R and Python code in Julia.<\/li><\/ol>\n\n\n\n

          For more specific applications, these packages are used:<\/p>\n\n\n\n