Running Julia Code Cells

Why use Julia with Jupyter?

Julia is a high-level, high-performance programming language that is designed for high-level technical computations. It is very easy to use and has remarkably fast speed, making it popular day by day among researchers and the data community. Combined with the Jupyter Notebook, it becomes an even more versatile tool for data analysis, scientific computations, and research. We will now learn to install the Julia and set it up for the Jupyter Notebook....

Adding the Julia Kernel

Now, let’s actually dive into the steps of adding Julia Kernel to Jupyter Notebook:...

Managing Julia Kernels

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Running Julia Code Cells

Julia kernels in Jupyter Notebook can be managed by using the “Kernel” menu. You can start, interrupt, restart, and shut down Julia kernels as per the need. It can be done as follows,...

Mixing Julia and Other Kernels:

Simply add code cells in your Jupyter Notebook and select the Julia kernel. You can then run Julia code by pressing Shift + Enter or clicking the “Run” button....

Using Julia and Python in the Same Notebook

Jupyter Notebook allows you to mix and match different kernels in a single notebook. You can seamlessly switch between Julia, Python, and other kernels to use the strengths of various programming languages within the same document. Lets now see how it can be done,...

Conclusion

To use both Julia and Python in the same Jupyter Notebook, create code cells with the respective kernels. This flexibility enables you to integrate the power of both languages in a single analytical workflow. This can be done as follows,...