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Python R and Coding With Python

Python R and Coding With Python 

Python R and Coding With Python Learn how to use the newest R/Python IDE (integrated development environment) for data science, analytics and ML

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.

Who this course is for:

  • Python and R practitioners with a focus on data science
  • ML engineers
  • Statisticians, engineers, and economists designing statistical models

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