Coding exercises in preparation for the upcoming course Introduction to deep learning for biologists
These exercises showcase some basic Python concepts, plus the use of most common modules. They are in the form of jupyter notebook and can be either downloaded and run locally or explored online via platforms such as Binder or Google Colab (a Google account is required).
- Balance: solving a simple physics problem
- Topics: lists, loops, functions, execution times and plots
- Words: word count and other text statistics
- Topics: lists, dictionaries, Pandas dataframes, zip archives, remote and local files, string manipulation
- Image: image manipulation
- Topics: numpy arrays, matplotlib pyplot, Pillow (PIL) and images in general, plus remote and local saving
- Deck: implementing a deck of cards
- Topics: python classes, attributes, methods, inheritance