Python’s set.pop() method removes and returns an arbitrary element from the set. If no element is present — that is, you call it on an empty set — set.pop() raises a KeyError. Here’s a minimal example where you remove a string element that happens to be ‘Alice’ from the set by means of the s.pop() … Read more
Python’s S.symmetric_difference_update(T) determines all elements that are in exactly one of the two sets S or T and updates set S with those elements. Here’s a minimal example where we update an existing set to consist of elements 1 and 4 that are in exactly one of the two sets s and t. Here’s another … Read more
Python’s set.add(element) method adds the element to this set. If the element is already present in the set, the method returns without any side effect. Here’s a minimal example where we add element 4 to an existing set: Syntax Let’s dive into the formal syntax of the set.add() method. set.add(element) Argument Data Type Explanation element … Read more
Python’s set.union(set_1, set_2, …) creates and returns a new set consisting of the elements that are members of any of the involved sets. The resulting set has at least as many elements as any other set given in the argument list. Here’s a minimal example that creates a new set arising from the union of … Read more
Python’s set.update(set_1, set_2, …) performs the union of all involved sets and updates the set on which it is called. It adds all members of the set argument(s) to the set on which it is called. For example, s.update({1, 2}) adds elements 1 and 2 to the original set s. Here’s a minimal example that … Read more
In this article you will learn about Access Modifiers in Python.
All set methods are called on a given set. For example, if you created a set s = {1, 2, 3}, you’d call s.clear() to remove all elements of the set. We use the term “this set” to refer to the set on which the method is executed. add() Add an element to this set … Read more
We’ve just launched the first in-depth Python Plotly Dash book with the world’s #1 computer science book publisher NoStarch. You can order Python Dash on Amazon or NoStarch directly. Book Description A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations … Read more
If you are an application developer, you might have to implement an error-free code that is well tested. In my instances, we would like to ignore I/O or Numerical exceptions. In this blog post, you will learn how we can safely ignore exceptions in Python. Imagine you are working on an application where you have … Read more
If you work in the field of data science you might have to draw a lot of plots using either Matplotlib or Seaborn. In this blog post, you will learn how to set a limit to the y-axis values in Matplotlib. We will start by loading the Boston household data and process the data to … Read more
If you are a data analyst or work with a lot of data, you might have come across the Pandas library for data manipulation. In this tutorial, we will examine how we can get a value of a cell from a Pandas DataFrame. Related Tutorial: 5 Minutes to Pandas There are 5 ways to extract … Read more
If you have worked on a Python application where you had data in another folder, you would have used a command-line tool like cd to change directories. In this tutorial, we will learn a more Pythonic way of changing directories. Changing directories using the os.chdir function The easiest way to change the working directory in … Read more