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Based on our record, Pandas seems to be a lot more popular than Fusion.js. While we know about 200 links to Pandas, we've tracked only 3 mentions of Fusion.js. 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.
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 5 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 1 month 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 / about 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 / about 2 months ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
b) Don't do intermediate builds at all. This is what we do for monorepo-internal packages at Uber. Basically, our framework lets you specify what parts of node_modules should be transpiled when compiling the service. So basically you just have a single compilation step and the performance cost is alleviated by leveraging babel cache. The upside of this approach is you only need one file watching daemon and you... Source: over 2 years ago
I also worked on another framework which does ship with polyfills, but this one is very much a "we-call-you" framework, in the sense that it has an full-fledged, opinionated compiler with hundreds of hours worth of time spent on optimizations, and the inclusion of polyfills is also very much a deliberate choice made in the name of productivity. Source: over 2 years ago
We've gone down this rabbit hole with Fusion.js. The TL;DR: is core.js aims to be standard-compliant, which means it'll often pull in a lot of code to deal with obscure corner cases like dealing w/ Symbols. Source: about 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Browse Happy - Presents the user with a list of the most popular modern browsers with links to download the latest version of each.
OpenCV - OpenCV is the world's biggest computer vision library
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.