Introducing the Python console
Many of you have told us that you’d like to be able to explore the datasets while you work through the lessons. To help you do this, we’ve introduced a Python console into our lesson interface. The console makes it easy for you to explore and clean data while working through our lessons, helping you work faster and understand the content of the data set better:
You can also use it to access docstrings, so you can get help with syntax without having to search for documentation:
We’re excited about this feature, and plan to keep improving the Python console over time. Please let us know what you think!
Hotkeys so you can work faster
We’ve got four new keyboard shortcuts that you can use to work faster:
Restore your code to the initial state:
Skip forward to the next step:
Toggle between the code box and the console:
For each of the above shortcuts on mac, replace
option. If you forget the shortcuts, you can mouseover the buttons to show tooltips:
New in Version 1.9
The full list of features in today’s release are below:
- Python console
- Improvements to Plot Checking
- A new design for your Dataquest profile page — check it out now (you’ll need to be logged in).
- A fix for a bug which caused problems with answer checking for NumPy objects
- Various performance improvements and minor bugfixes
What should we build next?
Feedback from our users is really important to us — we’d love to get your take on what we should build next. If you have an idea, you can