Best Python IDEs for Data Science!

1

nteract

At the same time that already established and widely used IDEs like RStudio are renewed and provide support for new languages, other solutions appear almost out of nowhere and are adopted by the market as is the case of nteract, an open-source project to be the next interactive development experience adopted by Netflix, in practice it has support for Python, node.JS, R, Julia, C ++, Scala and .NET, in addition to coming with a set of libraries to offer the functionality of configurations and automation of the environment of work like the papermill.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 4 social mentions

2

Visual Studio Code

Another alternative for AI development in Visual Studio Code, a free and open-source project from Microsoft that in addition to native Python support, also supports JavaScript, JSON, HTML, CSS, SCSS, Less, TypeScript, Markdown, PowerShell, C ++, Java, PHP, Go, T-SQL, C # and .NET Core, have a large number of extensions, maintained by your community that enables development in Clojure and Scala and integration with the most diverse cloud solutions such as Azure and Google cloud and recently started offering support for files in notebook format. Depending on the number of extensions installed, Visual Studio code may experience slow loading or an error in its execution.

#Text Editors #IDE #Software Development 1008 social mentions