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Install Linkz.ai in 2 minutes on your website or blog and instantly get automatic rich link previews on hover. Linkz.ai previews help your visitors to get context from linked content without bouncing between browser tabs, and, most importantly, without leaving your site.
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Linkz.ai's answer
Linkz.ai's answer
As of 2023, Linkz.ai is the only solution that automatically generates live link previews on hover & click. Immersive previews on click allow to see linked content within your website, including: - Videos from YouTube - Articles from third-party websites, e.g. Wikipedia - PDF files - 1000+ rich media embeds
Based on our record, iPython should be more popular than Linkz.ai. 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.
Hi, I'm Vittorio, and I'm improving the Internet browsing. However, I'm not building another web browser. As a big Wikipedia & Google Docs user, I liked how a minor addition of link previews on hover positively enhanced the UX. My goal is to similarly improve the UX of other websites & the Internet overall. Generating link previews on hover at scale fast is quite a problem. However, I solved similar scalability... - Source: Hacker News / over 2 years ago
I've launched a couple months ago https://linkz.ai Linkz.ai is hyperlink auto-previews that keep visitors on your website. It's heavily inspired by Wikipedia & Google Docs link preview popups with special extras. For example, when you click on a YouTube hyperlink, it does not take you to Youtube website, instead it opens lightbox with Youtube video on your website. All with just one line of code. $500+/m in a... - Source: Hacker News / over 4 years ago
I would love to hear your thoughts. You can install it for Free on your website at linkz.ai (takes 2 minutes). Source: over 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 / 11 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
Mugshot Bot - Automated link preview images for your website. No more fussing with design tools or wading through thousands of stock photos.
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.
Piar.io - Create beautiful custom link previews for all your social media channels in one place
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Survol - Preview any link you hover, save time and tabs.
Spyder - The Scientific Python Development Environment