Anvil is a powerful online platform that lets you build web applications with nothing but Python. It comes with two-click deployment, built-in user authentication, easy-to-use databases and loads more!
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Based on our record, Pandas should be more popular than Anvil.works. It has been mentiond 201 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.
Anvil.works - Web app development with nothing but Python. Free tier with unlimited apps and 30-second timeouts. - Source: dev.to / 5 months ago
Anvil (https://anvil.works) | Senior Developer | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide our own GUI framework!) We’re... - Source: Hacker News / 5 months ago
Have a look at https://anvil.works. - Source: Hacker News / 6 months ago
The problem with low-code platform is that you are always restricted and can't go beyond what they offer. And someday, you will run across a problem that you can never solve with that platform. But there is a better way to do it. In my experience Anvil is the fastest way to develop a web apps. It is a framework that lets you do everything including Frontend, Backend and Database using just Python. I started using... - Source: Hacker News / 10 months ago
> The closest thing I've found in the modern age is https://anvil.works - basically works like Delphi/VB, but web based, and in Python You haven't used Lazarus (https://www.lazarus-ide.org/)? - Source: Hacker News / 10 months ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 19 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 25 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
Unity - The multiplatform game creation tools for everyone.
NumPy - NumPy is the fundamental package for scientific computing with Python
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
OpenCV - OpenCV is the world's biggest computer vision library
Blender - Blender is the open source, cross platform suite of tools for 3D creation.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.