[Free] R And Python Coding With Prython
Learn how to use the newest R/Python IDE (integrated development environment) for data science, analytics and ML – Free Course
What you’ll learn
- Learn how to use Prython for coding both R and Python projects
- Design complex data science projects in Prython
Requirements
- Know some Python and/or R
- Basic knowledge about data science and analytics
Description
In this course we will learn how to use Prython, which offers a different way of coding than existing R/Python IDEs. It allows us to drop our code into panels that we place and connect in a canvas. In a normal IDE your code will run linearly from start to end, making it really hard to create sub-experiments/tests, and also to organise your project clearly. In Prython each panel accepts multiple IN and OUT connections, effectively transforming it into a 2D Jupiter notebook. It also has a wide array of tools that complement this canvas functionality: such as displaying dataframes next to the panels that modified them, allowing you to freeze your outputs, attaching consoles, navigation markers, etc.We assume that the student is already familiar with R or Python, and some familiarity with matplotlib, scikit-learn,or keras would be beneficial as well.
Author(s): Francisco Juretig
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