![]() ![]() Since the instructions will probably change, I’m just going to link to the the website where you can install Jupyter lab from: light theme dark theme 4 Running and Installing Jupyter Lab also has a built-in light and dark theme you can use. I find this particularly useful when I am running Jupyter Lab on a remote computer and I want to use git. In case you missed it, in Jupyter lab you can launch terminals! This is important for a development framework to have because it enables you to run any program that is on your computer. ![]() Jupyter Lab has a built in window manager enabling you to view files, notebooks, terminals, and other file formats all in the same internet browser tab! If you wanted multiple notebooks, you had to open multiple windows. With Jupyter notebook, you could only have one notebook open in a single web browser tab. Jupyter Notebook preview 3 Jupyter LabĪlthough notebooks have been around for quite some time, I got hooked on Jupyter because it brings the entire ecosystem together very nicely. This enables quick R&D because in a traditional setting you would consider building out infrastructure like databases to store your temporary computations. This enables you to load a large dataset, run complex computations, store the results in a variable and then access that variable the next day. This means that you don’t have to always re-compute your costly computations between each programming session. Plus, the results of running snippets are saved in your “workspace” between runs. Although you should be able to execute your notebook by running all snippets sequentially, you don’t have to follow that order. The concepts of snippets introduce the final and most compelling reason to use notebooks. You can run snippets or rearrange them however you please. Each snippet can be either code, markdown or raw text. In this notebook preview, you can add snippets. The one that you pick will open in a new window. From your web browser, you can view files in your current directory and choose one to edit. When you run a Jupyter notebook it starts a new server and launches you into your native web browser. With a notebook, you would just have to re-run the notebook where if you had the report as a separate word or Latex file, you now run the risk of misreporting your results. Consider if the data that you are working with changes halfway through writing your research report. ![]() Directly mixing your code and analysis with your report is very useful when trying to explain things un-ambiguously. This is something that the R and open-science communities heavily focus on. The ability to accurately reproduce your report is pinnacle to making research more verifiable and reproducible. But, if you had your scripts as separate files you would have to fix your code and then go through and generate a dozen new images to update your report. There is nothing wrong with doing that however, what happens if at the end of the assignment you realized that you were generating Gaussian filters incorrectly? If you wrote everything in a Jupyter notebook you would just have to fix the dubious code and re-run the notebook and it would produce your report in its entirety. They then added their analysis and submitted their assignment as a PDF alongside a bunch of python scripts. A majority of the class wrote python scripts and threw each image they generated into a massive word document. The entirety of the assignment required me to produce roughly 30 images. Last week I worked on a computer vision assignment that required me to use Open CV to manipulate images using filters, convolutions, etc. You can simply write a document that auto generates the graphs and figures you want to talk about in your document. For classes and when working, this makes it very easy to generate quick reports. Notebooks are much more interactive than simply sharing source code because you can mix text(markdown), code, and outputs in code execution. 1 Why Notebooks?Īs a researcher, I love notebooks because they enable you to easily share your code with others. The Jypyter project extends IPython notebooks to the web browser and added support for multiple languages. It is not uncommon for me to get exuberantly excited over an open-source project that I stumble upon– Jupyter Lab has taken the cake this month. ![]() Jupyter will Change your Life Thu Feb 06 2020 ![]()
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