Duck typing, EAFP principle

Topics: Duck typing, EAFP principle Updated 2020-10-04 Duck typing Today we are going to look at some fundamental philosophies of programming: duck typing, EAFP and its opposite LBYL. Some of you may have heard of these principles already. However, because they are so fundamental we want to make sure that we apply them to our magical universe correctly. So what is duck typing? The most common saying regarding duck typing is “If it walks like a duck, and it quacks like a duck, then it must be a duck.

July 31, 2018 Read
Extending the Magical Universe

Topics: Adding new classes and methods to the Magical Universe Today I used some of the concepts introduced during the last days to extend my Magical Universe. Specifically: I added a classmethod for creating the ghost ‘the mocking knight’ I added a ‘friends’ attribute to the Pupil class I added methods for adding and listing all current friends of a Pupil I implemented a new Charm class that allows to create charms I added two classmethods for creating popular charms

July 30, 2018 Read
Underscore patterns for variable naming

Topics: underscore patterns for variable naming, _variable, __variable, __variable__, _ Updated 2020-10-04 Underscore patterns for variable naming Today we are going to look at a very important concept in Python: the usage of underscores when naming variables! In Python we have five different naming conventions that involve underscores. A variable with a single leading underscore like _elms This is a naming convention followed by most Python code A name prefixed with an underscore should be treated as a non-public part of the API and it might be changed without notice This holds independent of whether it is a function, a method or a data member A variable with (at least) two leading underscores and at most one trailing underscore like __my_private_variable

July 29, 2018 Read
Properties, setter and getter methods

Topics: properties, @property and property(), setters, getters Updated 2020-10-04 Today, I digged a little deeper into the @property decorator, how it is related to the property() function and how its getter and setter methods work. These two links (link1, link2) were really helpful. Of course, there is also the official Python docs on the property() function. The @property decorator Yesterday we looked at decorators. The @property decorator allows us to create a read-only property.

July 28, 2018 Read
Decorators

Topics: decorators Updated 2020-10-04 Today, we are going to look at decorators. Python’s decorators are an advanced concept so don’t worry if you don’t immediately understand how they work. The more you will use and read about them, the clearer the concept will become. I won’t go into too much detail here, so if you want to know more about decorators, take a look at Dan Bader’s website or the PEP on decorators.

July 27, 2018 Read
To-string conversion

Topics: to-string conversion, __repr__, __str__ Updated: 2020-10-04 To-string conversion Today we are going to look at the two methods that control how an object is converted into a string object. When we just print an object, we won’t get a useful representation. For example, when trying to print the bromley instance: bromley = CastleKilmereMember(name='Bromley Huckabee', birthyear=1959, sex='male') print(bromley) We get this output: <__main__.CastleKilmereMember object at 0x7f81853bfc50>. It contains the name of the class an the ID of the object (its memory address).

July 26, 2018 Read
Type annotations

Topics: Type annotations Updated 2020-10-04 Type annotations Type annotations are a very cool feature that came out with Python 3.5. They allow us to add arbitrary metadata to function arguments and the return value of a function. Why this is useful? First of all, it allows us to document of what type our function parameters are. Furthermore, they can be used for things like type checking. For more use cases, look here.

July 25, 2018 Read
Types of class methods

Topics: class methods, instance methods, static methods, using class methods as alternative constructors Updated 2020-10-03 Types of methods A class can have three types of methods: instance methods, class methods and static methods. Instance methods are the most common type of method. They take at least the parameter self as an input. This parameter points towards an instance of the class when the method is called. An instance method can modify both object state (through the self parameter) and class state indirectly (through the self.

July 24, 2018 Read
Object-oriented programming

Topics: object oriented programming, classes, inheritance I want to start with using some of the things I learned from the “Python Tricks” book (see my reading list for more details on the book). Therefore, I will start creating a little Magical Universe with classes and methods related to the Tales of Castle Kilmere. So let’s start with the most important basics. What is Object Oriented Programming ? Object-oriented programming (OOP) is a specific programming paradigm.

July 23, 2018 Read
100 Days of code - Creating my personal Magical Universe

I have decided to take on a new habit using a technique I found on the ‘get discplined’ subreddit. The technique works as follows: Take a piece of paper or card Draw 6 vertical lines intersecting 6 horizontal lines. This creates a 7x7 grid of 49 squares Choose a daily habit you want to work on and write it down on the back of the card Also put down WHY you want to work on the habit Start working on the habit TODAY!

July 22, 2018 Read
The Tales of Castle Kilmere

My magical universe: “The Tales of Castle Kilmere” The main character of our magical universe is named Lissy Spinster. Lissy is a quiet, clumsy girl of age twelve. Although she is sticking her nose into books most of the time, she is always watching her surroundings very closely. Lissy and her older brother Gary don’t get along very well. Gary considers his sister a little weird and is spending most of his time outside, playing broom socker with his friends.

July 22, 2018 Read
My path to machine learning

My enthusiasm for machine learning arose from my fascination for the human brain. I have been fascinated by the complexity of the human brain for most of my life. Consequently, I decided to study cognitive science in Osnabrück, Germany. After attending a machine learning class in my fourth semester I discovered my true passion: The study and delevopment of algorithms that can learn on their own, developing a sense of intelligence.

January 1, 0001 Read