Bug fixes, stability improvements and updates to coding labs content.

Bug fixes, stability improvements and updates to coding labs content.

Welcome to Tinkerstellar 2.0! • Tinkerstellar now extends its support to iPhone, bringing our interactive tutorials straight to your pocket. • The app now has a dedicated user library for downloaded content, making it easier to manage your coding labs and keep track of your learning progress. • We've added loads of new tutorials, covering topics ranging from Python essentials to advanced Python applications, such as networking, web scraping, data visualization, machine learning, and more!

What's new in 1.3.1: • Fixes lab pages not loading on Mac Also in 1.3: • Easier progress tracking: you can now see your progress for each installed tutorial • Python upgrade: Tinkerstellar now comes with Python 3.10 • Better performance: the app is more stable, remains in background for longer, and avoids unnecessary restarting and reloading of pages — so that you always return to wherever you left off • Fixes for a whole lot of crashes, bugs and various smaller UI and usability issues Make sure to update the labs you have installed previously, so that they keep working with the upgraded Python environment. Happy coding!

What's new: • Easier progress tracking: you can now see your progress for each installed tutorial • Python upgrade: Tinkerstellar now comes with Python 3.10 • Better performance: the app is more stable, remains in background for longer, and avoids unnecessary restarting and reloading of pages — so that you always return to wherever you left off • Fixes for a whole lot of crashes, bugs and various smaller UI and usability issues Make sure to update the labs you have installed previously, so that they keep working with the upgraded Python environment. Happy coding!

Check out our new tutorials on data cleaning with Pandas: we look into common techniques to handle missing values, preprocess data for various tasks and manipulate DataFrames in general.

Check out our new labs on Python data structures: we look into four main built-in data structures in Python — List, Dictionary, Tuple and Set — and see how they perform in different scenarios.

Check out our new labs on Pandas library — you will learn how to manipulate dates and times in Pandas, and what data filtering operations Pandas library offers.

– New labs on ML and neural networks! – Better trackpad support across the app UI. – Improved background persistence and state restoration. – Fixes for a few minor bugs and issues.

– Fixes a couple of minor UI issues

– Fixes a crash and a couple of minor issues in lab’s code editor