Python’s magic method __getattr__() implements the built-in getattr() function that returns the value associated with a given attribute name. Additionally, __getattr__() is called if the normal attribute access (e.g., my_object.my_attribute) results in an AttributeError. We call this a “Dunder Method” for “Double Underscore Method” (also called “magic method”). To get a list of all dunder … Read more
What is the number one reason why you should consider working from home instead of working from where you work? The number one reason, I find, is commute time. Simply put: your life would be much better if you skipped commute time altogether. Before I show you some stats and scientific evidence, please allow me … Read more
Python’s magic method __setattr__() implements the built-in setattr() function that takes an object and an attribute name as arguments and removes the attribute from the object. We call this a “Dunder Method” for “Double Underscore Method” (also called “magic method”). To get a list of all dunder methods with explanation, check out our dunder cheat … Read more
Python’s magic method __delattr__() implements the built-in delattr() function that takes an object and an attribute name as arguments and removes the attribute from the object. We call this a “Dunder Method” for “Double Underscore Method” (also called “magic method”). To get a list of all dunder methods with explanation, check out our dunder cheat … Read more
The Pandas DataFrame has several methods concerning Computations and Descriptive Stats. When applied to a DataFrame, these methods evaluate the elements and return the results. Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices … Read more
The Pandas DataFrame has several methods concerning Computations and Descriptive Stats. When applied to a DataFrame, these methods evaluate the elements and return the results. Preparation Before any data manipulation can occur, two (2) new libraries will require installation. The Pandas library enables access to/from a DataFrame. The NumPy library supports multi-dimensional arrays and matrices … Read more
This is a simple algorithm to find all the powersets of a given set. If you feel like you need to refresh your Python set skills, have a look at my complete guide to Python sets (with Harry Potter examples). Problem Formulation: Powerset What is the powerset of a given set s? The powerset is … Read more
Working in Python with files and directories in an efficient way is important especially when we are talking about several thousand files. For example, if the goal is to “just” count the number of files in a directory it is probably a good idea to work directly with iterables without creating lists that would take … Read more
Python has multiple special attributes that are defined per default for each class such as __name__, __module__, __dict__, __bases__, __doc__, and __annotations__. Each of these special attributes has a special meaning as shown in the following table: Attribute Type Description __name__ str The name of the class __module__ str The string name of the module … Read more
Python’s __new__(cls) magic method creates a new instance of class cls. The remaining arguments are passed to the object constructor. The return value is the newly-created object—an instance of cls. Basic Example The following example shows how each time you create an object of our custom class My_Class, Python calls the __new__() magic method. Output: … Read more
Ethereum blockchain proposed tamper-proof decentralized financial contracts and applications. One of the main objectives of Ethereum is constructing decentralized applications that run without any downtime, fraud, control, or interference from a third party. Since it does not allow third-party interference, it is literally unthinkable to find a way to check if the address is a … Read more
Switch to English Version Planteamiento del problema Dado un objeto JSON almacenado en un archivo llamado “your_file.json”, como una lista de diccionarios. ¿Cómo se pueden anexar datos, como un nuevo diccionario? # File “your_file.json” (BEFORE) [{“alice”: 24, “bob”: 27}] # New entry: {“carl”: 33} # File “your_file.json” (AFTER) [{“alice”: 24, “bob”: 27}, {“carl”: 33}] Método … Read more