OOP in detail

Constructor vs. initializer, magic methods, iterator, generator, context manager, getter and setter, data class.

Multiple inheritance and its applications (e.g. mixin or other patterns), diamond problem and Method Resolution Order (MRO), duck typing and protocol class, pitfalls of multiple inheritance.

Decorator

Decorator as a universal wrapper, its meaning in Python and syntactic sugar.

Python memory management

Python memory management, garbage collection.

Python data model

A preview of how Python works (computational properties of Python and its speed).

Import and its functions

Context and scope, closure, module vs. package, creating your own module/package, installation and its meaning, automatic documentation generation.

Numpy

Sphere of focus, vectorized operations and their advantage over loops in Python, what makes Python slow

Matplotlib

Graphics library, basic graph construction.

Requests

Working with public APIs and downloading data using the requests library.

Pandas

Working with DataFrames, basic statistics, filtering, and data cleaning.

User interface in Pythonu

Overview of libraries for CLI (argparse, cmd) and GUI (curses, Tkinter, PyQT), creating a UI for programs from previous weeks.

Testing in Python

Mocking, unittest a pytest, refactoring, debugging.