Categorical data, also known as nominal data, is a type of data that is divided into discrete categories or groups. These categories have no inherent order or numerical value, and they are usually represented by words, labels, or symbols. Categorical data is commonly used to describe characteristics or attributes of objects, people, or events, and it can be found in various fields such as social sciences, marketing, and medical research. In Python, categorical data can be represented using various data structures, such as lists, tuples, dictionaries, and arrays. The most commonly used data structure for categorical data in Python is ... Read More

This tutorial provides a step-by-step guide on how to convert a NumPy array to a dictionary using Python. In NumPy, an array is essentially a table of elements that are typically numbers and share the same data type. It is indexed by a tuple of positive integers, and the number of dimensions of the array is referred to as its rank. The size of the array along each dimension is defined by a tuple of integers known as the shape of the array. The NumPy array class is known as ndarray, and its elements can be accessed by using square ... Read More

When using Python, container style can be a useful means of enhancing the readability and maintainability of code. You can style lists, tuples, dictionaries, sets, and even classes quickly and simply using this method. You can adjust how your data is presented by aligning columns, adding padding, and setting accuracy by using the built-in format() method. In this article, we'll take a deep dive into container formatting using format() in Python, including various types of containers and how to use them with the format() function. Container Formatting with format() Assuming we have a list of numbers that we want ... Read More

Python includes built-in mathematical data structures like complex numbers, floating-point numbers, and integers. But occasionally we might want to develop our own custom-behaved number classes. Here, the idea of imitating number classes is put into use. We can create objects that can be used in the same way as native numeric classes by simulating them. We will look at how to simulate numeric classes in Python in this article. Example 1: Emulating Addition class MyNumber: def __init__(self, x): self.x = x def __add__(self, other): ... Read More

Python's element-wise union of two NumPy string arrays is a potent method with a wide range of uses. This blog article will go over NumPy's setup and implementation procedures, the syntax for joining two NumPy string arrays together element-wise in Python, and the underlying method. Element-wise concatenation, for instance, is commonly used in data manipulation tasks to combine two data sets. Installation and Setup Simply use pip or conda. NumPy is a powerful library that provides support for mathematical operations and arrays. Once installed, you can import it into your Python script using the following command − import numpy ... Read More

The utilization of data structures in Python presents a perplexing and convoluted method of depicting numbers, strings, and other Python objects in a collection of values. Python's built-in data structures, such as lists, tuples, and sets, are captivating and exhibit distinctive traits that differentiate them from one another. These data structures possess an extraordinary capacity to hold groups of objects, rendering them one of a kind. In this article, we will see which among the three fits best with examples. List Items can be changed, added to, or taken out of after they are made. It can also be ... Read More

Methods are important when it comes to Python's object-oriented programming (OOP). They are crucial for isolating functionality within a class and giving things the ability to carry out particular functions. However, two OOP concepts—method overloading and method overriding—can occasionally cause misunderstanding. The distinctions between these two ideas and their applications in Python will be discussed in this article. Syntax Using the "def" verb, the method's name, arguments, and body are all required to define a method in Python. def method_name(parameter1, parameter2, ...): # method body return value Comparison Table Method ... Read More

Password hashing is a technique used to store passwords securely. It involves converting plain text passwords into a hashed format that cannot be easily reversed or decrypted. By hashing passwords, even if a hacker gains access to the password database, they will not be able to decipher the passwords. BCrypt is a password hashing algorithm that is considered one of the most secure algorithms for password hashing in Python. BCrypt is designed to be slow, which makes it more difficult for hackers to crack the hashed passwords. In this post, we will explain the syntax, code algorithm, and Python ... Read More

Data that only includes a few values is referred to as categorical data, often known as categories or levels and it is described in two ways - nominal or ordinal. Data that lacks any intrinsic order, such as colors, genders, or animal species, is represented as nominal categorical data while ordinal categorical data refers to information that is naturally ranked or ordered, such as customer satisfaction levels or educational attainment. We will go through how to handle categorical data in Python in this tutorial. Setup pip install pandas pip install scikit-learn pip install category_encoders Categorical data is often ... Read More

Flask offers a number of features, such as database access, processing of user input, and dynamic data delivery. An effective and user-friendly online application may be made using HTML and simple Python coding. Python gives us the ability to work with data and provide consumers tailored experiences, while Flask makes it easier to create web applications. The data item is also shown in the browser using HTML. You'll have a working Fun Fact Generator web application at the conclusion of this lesson. Setup Make sure we have the necessary frameworks and libraries installed before we start. The only requirements ... Read More