ASP.NET
Ruby on Rails
Django
Laravel
Node.js
Flask
ExpressJS
Meteor
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
ASP.NETBased on our record, NumPy should be more popular than ASP.NET. It has been mentiond 112 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.
Web Applications: ASP.NET, a powerful framework for building web applications, is primarily based on C#. Developers can create dynamic websites, web APIs, and services with ASP.NET. - Source: dev.to / 18 days ago
The Bold Reporting Tools ASP.NET MVC and ASP.NET Web Forms will no longer be deployed in the embedded build. However, bug fixes are diligently transferred to our public repositories until Microsoft officially announces the end of support for these platforms. For new web application development or to stay up-to-date, Blazor or ASP.NET Core are recommended. - Source: dev.to / about 2 months ago
Sorry for the possibly dumb questions. But then does .NET 5 have a "Model View Controller" workflow? I'm seeing ASP.NET still exists. But it's just "ASP.NET", no "MVC" or "Core" attached to the end. And they seem to recommend Blazor instead of C# which is something I only know the name of. Source: over 1 year ago
Cloud functions run aspnet core under the hood, but since it is a controlled environment it was designed in a way that the only concern you should worry about is running your function so all of the usual boilerplate related to adding services, middleware or enabling features is hidden away from you which for most simple scenarios this is what you will need and in the case of F# where dependency injection is more... - Source: dev.to / over 1 year ago
I'm doing "backend data processing microservices" and the main framework component is ASP. Source: over 1 year ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 6 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 7 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 12 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 14 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Django - The Web framework for perfectionists with deadlines
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Laravel - A PHP Framework For Web Artisans
OpenCV - OpenCV is the world's biggest computer vision library