In this tutorial, you’ll learn how to check your Python version in Windows, macOS, and Linux. You’ll learn how to check the version of Python using the command line and within a Python script itself. You’ll learn how to get the version number of the interpreter that your scripts will use. Knowing how to do […]
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In this tutorial, you’ll learn about Python nested dictionaries – dictionaries that are the values of another dictionary. You’ll learn how to create nested dictionaries, access their elements, modify them and more. You’ll also learn how to work with nested dictionaries to convert them to a Pandas DataFrame. By the end of this tutorial, you’ll
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In this post, you’ll learn about how to use environment variables in Python on Windows, macOS, and Linux. Environment variables in Python enable you to write smoother workflows and more secure code. You’ll learn why environment variables are useful to learn and how to implement them. You’ll learn how to get and set environment variables
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In this tutorial, you’ll learn how to use Python to find the list index of all occurrences of an element. In many cases, Python makes it simple to find the first index of an element in a list. However, because Python lists can contain duplicate items, it can be helpful to find all of the
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In this tutorial, you’ll learn how to use the Python not equal operator, !=, to evaluate expressions. You’ll learn how the not equal operator works in both Python 3 and the older Python 2. You’ll learn how the not equal operator is different from the not statement. You’ll also learn how to use the not
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In this tutorial, you’ll learn all the different ways to copy a Python dictionary. While this may seem like a very rudimentary task, there are a number of complexities involved in this. In this tutorial, you’ll learn how to copy a dictionary reference-wise, create shallow copies, and create deep copies. By the end of this
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In this tutorial, you’ll learn how to convert a list of Python dictionaries into a Pandas DataFrame. Pandas provides a number of different ways in which to convert dictionaries into a DataFrame. You’ll learn how to use the Pandas from_dict method, the DataFrame constructor, and the json_normalize function. By the end of this tutorial, you’ll
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In this tutorial, you’ll learn how to generate random numbers in Python. Being able to generate random numbers in different ways can be an incredibly useful tool in many different domains. Python makes it very easy to generate random numbers in many different ways. In order to do this, you’ll learn about the random and
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In this tutorial, you’ll learn how to use the Python list index method to find the index (or indices) of an item in a list. The method replicates the behavior of the indexOf() method in many other languages, such as JavaScript. Being able to work with Python lists is an important skill for a Pythonista
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In this tutorial, you’ll learn about Support Vector Machines (or SVM) and how they are implemented in Python using Sklearn. The support vector machine algorithm is a supervised machine learning algorithm that is often used for classification problems, though it can also be applied to regression problems. This tutorial assumes no prior knowledge of the
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In this tutorial, you’ll learn how to use the OneHotEncoder class in Scikit-Learn to one hot encode your categorical data in sklearn. One-hot encoding is a process by which categorical data (such as nominal data) are converted into numerical features of a dataset. This is often a required preprocessing step since machine learning models require
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In this tutorial, you’ll learn how to use Python to create a switch-case statement. Prior to Python version 3.10, Python did not have an official switch-case statement. In order to accomplish this, you had a number of different options, such as if-else statements and dictionaries. By the end of this tutorial, you’ll have learned: How
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