{"id":605,"date":"2025-03-02T15:04:00","date_gmt":"2025-03-02T14:04:00","guid":{"rendered":"https:\/\/noiseonthenet.space\/noise\/?p=605"},"modified":"2025-03-02T22:40:54","modified_gmt":"2025-03-02T21:40:54","slug":"posting-from-jupyter","status":"publish","type":"post","link":"https:\/\/noiseonthenet.space\/noise\/2025\/03\/posting-from-jupyter\/","title":{"rendered":"Posting From Jupyter"},"content":{"rendered":"

\"retrosupply-jLwVAUtLOAQ-unsplash.jpg\" <\/p> <\/div>\n\n

Photo by RetroSupply<\/a> on Unsplash<\/a> <\/p>\n\n

This post contains a description of some tools I used my recent posts about data analysis introduction <\/p>\n\n

This is a very opinionated selection of tools which is based on my personal journey in the Open Source Software world <\/p>\n

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Jupyter Lab<\/h2>\n
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Jupyter Lab<\/a> is a multi-language environment started as a python shell on steroids and evolved into a really cool tool. <\/p>\n\n

You can find more information about how to install and use it<\/a> as well as transform a notebook into a stand-alone script<\/a>. <\/p>\n\n

Its interactivity makes it a go-to tools for data scientist and beginners but I find it also convenient to teach programming languages <\/p>\n\n

Other than python dozen of progrmming languages<\/a> are supported. <\/p>\n\n

Markdown cells including Latex equations are available to comment the code; exports in many document formats too. <\/p>\n\n

Its ability to launch remote shells and dozen of integration tools (e.g. GIT) makes it the tool of choice for cloud prototyping in many of the greatest environments including Google and IBM <\/p>\n<\/div>\n<\/div>\n

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Emacs and Org-Mode<\/h2>\n
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let’s address with the elephant in the room. <\/p>\n\n

I’ve been using Emacs<\/a> since 1995; it is almost 30 years this piece of libre software is helping in my journey as a developer and content creator, also becoming my personal project tracking tool <\/p>\n\n

Org Mode<\/a> is one of the Emacs default extensions which enables rich structured notes taking, project management etc. all in plain text. One of its submodules called Org Babel is a has a lot of features in common with Jupyter Lab, but it is less popular nowadays because it has very little support outside of Emacs <\/p>\n\n

Org mode has a lot of extensions: one of my favorites is org2blog<\/a> which allows me to transform an org-mode file into a WordPress post… more on that below. <\/p>\n\n

That said I can’t make without it – it is not a tool I recommend to beginners, but is enabling my workflow in so many ways that Visual Studio Code still cannot do. Moreover is lighter than VSC, can run on a terminal and respects my privacy. <\/p>\n\n

Just for those who are interested, I’m a Doom Emacs<\/a> user (of course with vi keybindings) <\/p>\n<\/div>\n<\/div>\n

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Pandoc<\/h2>\n
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this tool<\/a> is really great: it enables transforming between a lot of markdown languages! In this case it helps me bridging the gap between ipynb (notebook format) to org-mode; it works perfectly out of the box. <\/p>\n\n

A simple command like <\/p>\n\n

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pandoc Part1.ipynb -f ipynb -t org -o Part1.org --extract-media=images\n<\/pre>\n<\/div>\n\n
 already does what I need <\/p>\n\n