prython in a nutshell (5:32)

We do a quick and light introduction to prython's capabilities, comparing it to other IDEs

Complete (ML) example (9:27)

We build a complete project from scratch, showing all prython's functionality

Configuring prython (2:29)

We show how to configure prython, both using R and python (including Anaconda). It takes no more than 2 minutes!

Panels (4:39)

We explain prython's main component, used to edit and run code. It has many buttons, which we explain in full detail here

Free and Standard mode (5:33)

There are two ways which can be used in prython. A standard mode: elegant and organized. And a free mode: quick, fast and flexible

Dataframes (2.25)

We show how dataframes are treated when using python (pandas) or R.

Plots(0:54)

prython allows you to put multiple plots side by side, both in R or Python. Amazing for data analysis!

Preferences (1:47)

You can change the colors, backgrounds, themes and other options here

Adding markers, brackets, notes and frames (1:19)

prython has nice tools to help you organise your project visually

Pro-features in prython (1:41)

These features are only on the pro-version

Adding progress-bars (2:14)

You can add progressbars with one print() statement!

File imports (1:33)

External code is shown next to each panel. Check it out!

Keras automatic tracking (0:41)

Keras outputs are parsed in real time and some nice metrics are shown while training deep learning modls

Taking screeenshots and drawing (0:52)

Want to copy the results of your python/R code? Want to copy plots? And yes, you can draw over them

Finding help (0:52)

How to search for help and tutorials using the app (and how to get the documentation)

Dataframe mode (4:15)

The dataframe mode can be used to organise your dataframes logically, and explicit their dependencies