Vim is recommended for programmers, developers, and system administrators who require a highly efficient and customizable text editing experience. It is especially useful for those who work extensively in terminal environments or need a quick, resource-light text editor for remote systems.
Based on our record, Kaggle seems to be a lot more popular than Vim. While we know about 101 links to Kaggle, we've tracked only 10 mentions of Vim. 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.
Lua is quite small, encouraging distros to include it. The ubuntu gvim has, and the gvim AppImage linked from vim.org does. The default Makefile from github is set up to not include it, but you can uncomment one line there to get it. Source: over 2 years ago
I've not used vimwiki locally (tho I'm old enough to remember the Vim wiki on vim.org :), but I think what you are wanting to do is extend vimwiki's syntax file. I presume it installs one at $VIMRUNTIM/syntax or or ~/.vim/syntax. If this sounds right, then create a ~/.vim/after/syntax/vimwiki.vim file and place your match command in there. Then everytime you open a vimwiki file it should apply your... Source: over 2 years ago
Vim.org has 242k total visitors, tailwindcss.com has 4.4m, planetscale.com has 412k, jpl.nasa.gov has 2.6m, all built with Tailwind, all several years younger than Vim's website. Unnecessary comparison, unnecessary defence. It's a valuable tool, fine, but a complete disregard for anyone who doesn't love a crappy website and would like to navigate a website like a normal human is not something to be defended. Maybe... Source: over 2 years ago
I write in Vim with some customizations in my vimrc to gear it more towards prose writing than code editing. It's not pretty, but Normal Mode and Ex commands are the most powerful text editing tools out there, so that means I spend less time on making corrections and other edits. Source: over 3 years ago
If you are open minded and would like to try it out, click me for more information! Cheers. - Source: dev.to / over 3 years ago
Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / 6 months ago
Kaggle: For data science and machine learning competitions. - Source: dev.to / 10 months ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: about 2 years ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: about 2 years ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: about 2 years ago
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