Google Colab features you may have missed

Nate from the Google Colab team shares lesser known, powerful features in Google Colaboratory that will allow you to dynamically explore Pandas DataFrames, view your history to see past commands you ran in your notebook, and boost your productivity.

Any features you want to highlight? Let us know in the comments!

00:00 Introduction
00:08 Overview of features covered
00:30 Interactive Table
2:36 Execution History
4:16 Command Palette
5:07 Thanks for watching

#Colab #GoogleColab #TensorFlow #ML #MachineLearning

product: TensorFlow - General;

[warren]

Very polished presentation - this bloke is a keeper.

[ElectronicBarta]

interactive table is awesome features.

[Reese_]

The interactive dataframes is a dope feature!.!.! Definitely will be using those to speed up data exploration!

[harrivayrynen]

Thanx. Dataframe browser /filtering was new feature for me!

[ArdeniusYT]

hi what are compute units ? can you make a video about that please? its so vague when it should be the most important information on the page.

[prettypattliquormusic]

Great video. I enjoyed watching a lot. Keep creating such useful content
😍

[srs.shashank]

the scratch cell feature is quite useful!

[PoliticaV]

What do the combos mean in google colab?

[alexkychen]

Thanks. Is there way to use these features in local jupyter notebook?

[JBoya]

Very nice. These make colab much more useful.

[JSnyder]

Hello Nathaniel, is there a way to upload Python code in Colab from a local file system?

[hawkinsjean]

Much respect to colab interactive table!

[Mnerd]

Cool features but is it only exclusive features only for Google Colab, I just wondered if Jupyter Notebook/Lab has these features. Even Juno from iOS needs to have these specialized features. Also, really good enthusiastic presenter.

[fieldruan]

Owesome work!, Definitely using to speed up data analysics.

[guocity]

is there anyway to connect colab with vscode?

[hassanohm]

Wow, this video was amazing! 🌟 I really loved how you explained the concepts clearly and made everything so easy to understand. Your enthusiasm is contagious! Looking forward to more content like this. Keep up the great work! 👍😊

[sloanlance]

It appears that the code is no longer required to enable the interactive table for viewing Pandas dataframes. When my code returns a dataframe, Colab shows a button to enable the interactive view for it. It only enables the interactive view for the specific dataframe, however. To enable interactive views for all dataframes automatically, the code is still required.

[АнтонТеплов-дч]

method when i filter dataset like in video above, when i choose Miles_per_Gallon from 25 it's not even filter table properly.

[Fan-fbtz]

wow thank you for explaining! the execution history part is awesome plus scratch cell function

[arthurg]

Colab is for training models but everyone knows training models takes time but colab requires you to keep doing something to keep the tab running or else it disconnects.

So what are people supposed to do look at the colab notebook and do random stuff till the model is training? Then it's just a online Jupyter notebook.