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Based on our record, iPython should be more popular than Kakoune. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Fascinating idea! To summarize for those who know [Kakoune](https://github.com/mawww/kakoune), the idea is that every command has the form ["selection mode" -> "movement" -> "action"](https://ki-editor.github.io/ki-editor/comparisons/modal-editors.html) instead of Kakoune's movement->action. So, instead of having separate commands for "next character", "next word", "next structural element", there is one command... - Source: Hacker News / almost 2 years ago
Helix's modal editing is based on Kakoune's modal editing which is like an evolution to Vim's modal editing. You can think of it as being always in selection (visual) mode. https://github.com/mawww/kakoune?tab=readme-ov-file#selectio.... - Source: Hacker News / over 2 years ago
You might like kakoune (https://github.com/mawww/kakoune), which does exactly that: first you select the range (which can even be disjoint, e.g. All words matching a regex), then you operate on it. By default, the selected range is the character under cursor, and multiple cursors work out of the box. It also generally follows the Unix philosophy, e.g. By using shell... - Source: Hacker News / about 3 years ago
It might be worth checking out kakoune if you are experimenting with editors. Itโs supposed to be equally powerful to vim but much easier to learn. Source: over 3 years ago
For that, try Kakoune[1], which is modal with a mostly-postfix language instead of vi's usually-prefix one and uses this to also be a multiple-selections editor with immediate visual feedback. It falls too much into the uncanny valley of almost-but-not-quite-vi for some people, though. [1] https://kakoune.org/, https://github.com/mawww/kakoune. - Source: Hacker News / almost 4 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Vim - Highly configurable text editor built to enable efficient text editing
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
VS Code - Build and debug modern web and cloud applications, by Microsoft
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Light Table - Light Table is a new interactive IDE that lets you modify running programs and embed anything from...
Spyder - The Scientific Python Development Environment