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So is differentiable Swift a package for Swift or is it part of the Swift standard library? The video says go to swift.org but I can't find any info about differentiable Swift on that site. Source: 5 months ago
You can learn the Swift language, but not iOS development. So after you're done with basics from swift.org, you need to switch to macOS. Source: 11 months ago
Like someone mentioned swift.org is a start. Source: 12 months ago
I'm guessing I've downloaded the wrong version of swift.org toolchain. Source: about 1 year ago
Note that the screenshot you shared is from an old (and AFAICT abandoned) port of Swift based upon MinGW. You should look to https://swift.org for the official releases for Windows which are more current. Source: over 1 year 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 7 hours 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 / 18 days 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 / 12 days 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 / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
NumPy - NumPy is the fundamental package for scientific computing with Python
Kotlin - Statically typed Programming Language targeting JVM and JavaScript
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
OpenCV - OpenCV is the world's biggest computer vision library