Python provides the operator x %= y to calculate the modulo operation x % y, and assign the result in-place to the first operands variable x. You can set up the in-place modulo behavior for your own class by overriding the magic “dunder” method __imod__(self, other) in your class definition. The expression x %= y … Read more
Python’s in-place division operator x /= y divides two objects in-place by calculating x / y and assigning the result to the first operands variable name x. Set up in-place division for your own class by overriding the magic “dunder” method __truediv__(self, other) in your class definition. The expression x /= y is syntactical sugar … Read more
Python provides the operator x *= y to multiply two objects in-place by calculating the product x * y and assigning the result to the first operands variable name x. You can set up the in-place multiplication behavior for your own class by overriding the magic “dunder” method __imul__(self, other) in your class definition. The … Read more
Python provides the operator x -= y to subtract two objects in-place by calculating the difference x – y and assigning the result to the first operands variable name x. You can set up the in-place subtraction behavior for your own class by overriding the magic “dunder” method __isub__(self, other) in your class definition. The … Read more
In Python, a string includes not only the alphanumeric characters and symbols, but also all whitespaces. Consider this simple example: We have a variable called mystring, and it is assigned to 3 characters a, b, and c. Note we have separated each character with a space, so when calling the len() function we get the … Read more
Does your model’s prediction accuracy suck but you need to meet the deadline at all costs? Try the quick and dirty “meta-learning” approach called ensemble learning. In this article, you’ll learn about a specific ensemble learning technique called random forests that combines the predictions (or classifications) of multiple machine learning algorithms. In many cases, it … Read more
Python provides the operator x += y to add two objects in-place by calculating the sum x + y and assigning the result to the first operands variable name x. You can set up the in-place addition behavior for your own class by overriding the magic “dunder” method __iadd__(self, other) in your class definition. The … Read more
The most idiomatic way to create a random integer in Python is the randint() function of the random module. Its two arguments start and end define the range of the generated integers. The return value is a random integer in the interval [start, end] including both interval boundaries. For example, randint(0, 9) returns an integer … Read more
A namespace is a filing system used by Python to track all the names given to objects when you write a program. When I first began trying to understand namespaces in Python, the tutorials I came across were confusing and less than helpful in their descriptions. Today I will take you on a logical and … Read more
[toc] Company Tags: Google, Amazon, Yahoo, Microsoft This is one of the Google interview questions and one of the most commonly asked questions during many interviews. So, can you give the optimal solution to this problem? Problem Formulation Given an array nums of size n, the task is to return the majority element. The majority element … Read more
The main difference between type() and isinstance() is that type(object) returns the type of an object and isinstance(object, class) returns True if the object argument is an instance of the class argument or in a direct or indirect subclass relationship. To strengthen your understanding, let’s quickly recap the syntactical definitions of both functions: type(object) – … Read more
Support Vector Machines (SVM) have gained huge popularity in recent years. The reason is their robust classification performance – even in high-dimensional spaces: SVMs even work if there are more dimensions (features) than data items. This is unusual for classification algorithms because of the curse of dimensionality – with increasing dimensionality, data becomes extremely sparse … Read more