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 how to use the Python Counter class from the collections module to count items. The Counter class provides an incredibly pythonic method to count items in lists, tuples, strings, and more. Because counting items is a common task in programming, being able to do this easily and elegantly is a
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In this tutorial, you’ll learn how to get and use the value of pi in Python. We’ll explore a number of different ways in which you can get and store the value of pi in Python. First, we’ll look at the math library, followed by the NumPy library. We’ll explore why you may want to
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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 add (or insert) a row into a Pandas DataFrame. You’ll learn how to add a single row, multiple rows, and at specific positions. You’ll also learn how to add a row using a list, a Series, and a dictionary. By the end of this tutorial, you’ll have learned:
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In this tutorial, you’ll learn how to use Pandas to make a scatter plot. Under the hood, Pandas uses Matplotlib, which can make customizing your plot a familiar experience. Pandas allows you to customize your scatter plot by changing colors, adding titles, and more. In more recent versions, Pandas included the ability to use different
Pandas Scatter Plot: How to Make a Scatter Plot in Pandas Read More »
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
Support Vector Machines (SVM) in Python with Sklearn Read More »
