We recommend LibHunt Ruby for discovery and comparisons of trending Ruby projects. Also, to find more open-source ruby alternatives, you can check out libhunt.com/r/rails
Based on our record, Pandas should be more popular than Ruby on Rails. 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.
For those who are unfamiliar with Laravel, it is a very popular monolithic PHP web framework similar to others like Ruby on Rails. It is known for its ease of use, rapid development and making PHP development far more enjoyable haha! - Source: dev.to / 13 days ago
On the back end, we worked to migrate data from Spark (a data processing engine) to a custom, in-house RETS (real estate transaction standard) aggregator, which helped dramatically grow the customer base. We also moved Agent Inbox to a hybrid solution using React.js and Ruby on Rails, replacing their single-page-application solution with server-side rendering to improve project stability and speed. (This move came... - Source: dev.to / 22 days ago
How to start using React components written in TypeScript using Ruby on Rails as a server with only built-in Rails features? There are a couple of ways we can achieve it with. - Source: dev.to / 22 days ago
We rewrote and redesigned the entire user interface, contending with a very tight timeline, and we upgraded the existing code within Ruby on Rails, including all dependencies that were previously unsupported and thus creating security risks for the product. - Source: dev.to / 22 days ago
And if you’re not familiar with tools like Laravel and Ruby-on-Rails, they are opinionated full-stack frameworks (for PHP and Ruby) with lots of built-in features that follow established conventions so that developers can write less boilerplate and more business logic, while getting the industry best practices baked into their app. - Source: dev.to / 29 days 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 / 13 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 18 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
Django - The Web framework for perfectionists with deadlines
NumPy - NumPy is the fundamental package for scientific computing with Python
Laravel - A PHP Framework For Web Artisans
OpenCV - OpenCV is the world's biggest computer vision library
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.