Emacs vs Jupyter

Emacs can be controlled entirely with the keyboard. While true, I often find the mouse and menus handy for those lesser-used commands. An aide-memoir.

Customizations can be made to a wide range of Emacs' functions through a Lisp dialect (Emacs Lisp). A robust list of existing Lisp extensions include the practical (git integration, syntax highlighting, etc) to the utilitarian (calculators, calendars) to the sublime (chess, Eliza).

You can debug, compile, manage files, integrate with version control systems, etc. All through the various plugins that can be installed.

You can use Emacs' command line interface or graphical user interface.

Emacs has extensive help support built-in as well as a tutorial accessed with C-h t.

Licensed under GNU GPL.

With 30+ years of use the Emacs documentation is very thorough. There are also a lot of tutorials and guides written by third parties.

Evil mode emulates vim behaviors within Emacs. It enables Vi users to move inside the Emacs universe.

Advanced planning and publication which can start as a simple list.

Through its programmability, a very broad range of functionalities can be integrated in emacs, turning it even into a "single point of contact" with the underlying operating system.

Works on Linux, Windows, Macintosh, BSD, and others.

You can jump straight from your org-mode files to programming tasks - and back - and build a seamless workflow.

Emacs is great for everything.

You can pass complicated arguments in the mini buffer.

Fully compliant GNU-emacs is available on many platforms, and they all understand .emacs configuration files.

Emacs can select rectangularly.

With lisp customization, any behavior of Emacs can be changed. Update with pre-release patch can be also applied without recompiling the whole Emacs.

Evil is an extensible vi layer for Emacs. It provides Vim features like Visual selection and text objects.

Dynamic word completion.

Review the "Emacs Rocks" video.

The first verion of Emacs was written in 1974 and GNU Emacs in 1984.

Powerful commands, search, and more with the Helm plugin.

Since version 25 you can run GTK widgets inside Emacs buffers. One of these is the WebKitGTK+, which allows the user to run a full-featured web browser inside Emacs with JavaScript and CSS support among other things.

The tutorial you are presented with at startup shows you exactly what you need to get started and teaches you how to use the built-in help yourself later.

Emacs has a number of shell variants: ansi-term, shell, and eshell.

Complex git history editing become a breeze with very few keystrokes. And simple ones are quickly stashed in muscle memory. Git becomes an direct extension of your brain thanks to Magit. Cherrypicking, blaming, resetting, interactive rebasing, line level commit, spinoff branches... you name it, magit already has it and has typically all those 5 to 10 git CLI commands of higher-level patterns also tide to one simple shortcut (want to amend a commit three commits away ? forgot to branch out and you've got already N commits on master ? ... etc... ).

Managing several large mailing lists has never been easier using Gnus. The threading commands and the various ways of scoring articles means that I never miss important messages/authors, etc. A joy to use.

You can use the underlying operating system shell as a terminal emulation in an Emacs buffer. Don't like the default shell for your configuration? You can change it to your liking.

Built-in packages make editing Lisp source code feel natural.

Missing some neural package that predicts actions, maybe in the next release ...

Because the editor is a web app (the Jupyter Notebook program is a web server that you run on the host machine), it is possible to use this on quite literally any machine. Morever, you can have Jupyter Notebook run on one machine (like a VM that you have provisioned in the cloud) and access the web page / do your editing from a different machine (like a Chromebook).

Most IDEs require you to separately run Python to see the output of a particular piece of code. By contrast, Jupyter Notebook can evaluate Python statements inline, giving you the immediate feedback of interactive use of the interpreter while keeping your changes saved.

The interactive editor is able to display complex equations, charts, graphs, etc. making this particular editor very well-regarded among data scientists.

Because it is open source, you can review the source code and also propose extensions and fixes to it. It is also possible to fork the repository and make changes to it to customize it for your specific use case.

Jupyter Notebook, formerly known as ipython, used to be specific to Python; however, in recent iterations, it has become capable of general purpose usage for any programming language. Thus it is possible to use this and have a consistent developer workflow, regardless of language.