Quick Answer: Static attributes are variables defined once for the class and shared by all instances. Dynamic attributes are variables defined for individual instances only. Static variables are used as a “fall-back” when there are no explicit dynamic attributes defined for the instances. When you try to “overwrite” a static attribute such as in x.attr … Read more
? This tutorial will show you the most simple and straightforward way to implement linear regression in Python—by using scikit-learn’s linear regression functionality. I have written this tutorial as part of my book Python One-Liners where I present how expert coders accomplish a lot in a little bit of code. Feel free to bookmark and download … Read more
Are you confronted with a JSON file and at a loss to know how to extract wanted information, or you don’t know about JSON but would like to? Today we’ll introduce the JSON format and use Python to access a JSON file. We’ll extract the data we need and we’ll use the Python JSON module … Read more
Summary: This blog explains the ways to apply a given function to each element of a list. The best way to apply a function to each element of a list is to use the Python built-in map() function that takes a function and one or more iterables as arguments. It then applies the function to … Read more
Python’s set.remove(x) method removes an element x from this set if it is a member, otherwise it raises a KeyError. Here’s a minimal example where you remove the string element ‘Bob’ from the set by means of the s.remove() method: Syntax Let’s dive into the formal syntax of the set.remove() method. set.remove(element) Argument Data Type … Read more
In this article you will learn:
How To Check if One String is a Subsequence of Another?
This article gives you everything you need to know about sets in Python. To make it a bit more fun, I have used Harry Potter examples throughout the article. What is a Python Set? The set data structure is one of the basic collection data types in Python and many other programming languages. In fact, … Read more
NumPy’s np.diff() function calculates the difference between subsequent values in a NumPy array. For example, np.diff([1, 2, 4]) returns the difference array [1 2]. Here is a simple example to calculate the Fibonacci number differences: This code snippet shows the most simple form of the np.diff() method: how to use it on a one-dimensional NumPy … Read more
In this article we will cover some basic features of the datetime module in Python. More specifically, we will see how to extract the current date and time and how to implement these features within a script in order to realize time-driven actions. Long Story Short The datetime module in Python allows you to deal … Read more
[toc] Quick Fix: Python’s built-in str(x) method converts an integer object x to a string object by using the x.__str__() method. ❖ Introduction Problem Formulation: Given a string object in Python, what are the ways to convert it to an Integer type? Example: Output: Let us have a look at an example where converting an … Read more
[toc] Problem Formulation: How to fix ImportError: No module named requests in Python? You might be working on a web scraping project and want to import the requests library and check the status of the response. However, as soon as you try to execute your code, Python throws ImportError as shown below. Example: Output: ✨ The Requests Library … Read more
? The reduce() function from Python’s functools module aggregates an iterable to a single element. It repeatedly merges two iterable elements into a single one as defined in the function argument. By repeating this, only a single element will remain — the return value. Minimal Example Here’s the minimal example: The code performs the following steps: … Read more