Here we’ll take a look at some differences between Python 2 and 3, and the ways you can make your code be more compatible with the last version of the language.
Going through the Python libraries that every data analyst has to know about.
A short overview of the changes that has taken place on CheckIO and how the OOP fitted into them.
Presenting a new CheckIO tool with a broad set of functions.
Becoming more familiar with the State and Interpreter design patterns.
Reviewing the Memento and Bridge design patterns.
Taking a closer look on the Observer and Mediator design patterns.
Going through the Abstract Factory and Strategy design patterns.
A new great way to gain points and additional opportunities in the game.
An overview of how Python was essential for the creation of various useful programs and applications in a range of different spheres.
The ways in which you can take part in making CheckiO an even better resource for its users.
The continuation of the previous article reviewing the most remarkable speeches and life events of the core Python developer.
Seeing Python from the point of view of its core developer.
How emails can become a great tool used to your advantage.
An intro to the purpose of type hints in Python 3.5, mypy and PuCharm
The last article of the Python data types series devoted the data class variations and usage.
Python slice as a flexible tool for various surprising tricks.
Why CheckiO ClassRooms considered to be a great additional resource when teaching Python.