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Generate React components with clean, extendable code. Build and iterate on your products faster than ever.
Quest AI
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Based on our record, iPython should be more popular than Quest 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.
If you build with Next.JS, check out https://quest.ai. It converts figma designs into Next.JS automatically. Disclosure: I'm one of the makers of quest.ai. Source: about 3 years ago
Can I make a recommendation to add https://quest.ai to the list. Generates React/NestJS components from your designs. Source: over 3 years ago
Since you are a full stack developer, check out https://quest.ai. Generates React code components from Figma files. For websites, you can export as NextJS and host in vercel or anywhere. You have full control over the code, which developers typically want. Source: over 3 years ago
Take a look at how customers are using Quest:. Source: over 3 years ago
If you are building in React, try https://quest.ai. Gives you pixel-match code for your Figma design. Perfect for many backend devs. Source: over 3 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
Anima App - Design, get feedback, convert to code, publish, iterate.
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.
Locofy.ai - Locofy.ai helps builders launch 4-5x faster by converting designs to production ready code.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
Spyder - The Scientific Python Development Environment