In this tutorial, you’ll learn everything you need to know about the important and powerful PyTorch DataLoader class. PyTorch provides an intuitive and incredibly versatile tool, the DataLoader class, to load data in meaningful ways. Because data preparation is a critical step to any type of data work, being able to work with, and understand, […]
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In this tutorial, you’ll learn how to use a requirements.txt file in Python to manage and handle the dependencies of your project. Using a requirements.txt file is particularly helpful when sharing your code with others via source code management tools, such as Github. The file provides the ability to easily track and identify the packages
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In this tutorial, you’ll learn how to implement the sigmoid activation function in Python. Because the sigmoid function is an activation function in neural networks, it’s important to understand how to implement it in Python. You’ll also learn some of the key attributes of the sigmoid function and why it’s such a useful function in
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In this tutorial, you’ll learn how to use the powerful NumPy pad function to pad arrays and matrices in NumPy and Python. The function is a powerful method that is often used in deep learning, especially in developing convolutional neural networks. Being able to master this function will allow you to build powerful deep learning
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In this tutorial, you’ll learn how to add titles to your Matplotlib plots. You’ll learn how to add a title, a subtitle, and axis labels to your plot and subplots. You’ll learn how to style these titles individually and to multiple plots at once. Being able to add titles gives you the ability to better
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In this tutorial, you’ll learn how to use the NumPy where() function to process or return elements based on a single condition or multiple conditions. The np.where() function is one of the most powerful functions available within NumPy. The function allows you to both return indices where a condition is met, or process array items
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In this tutorial, you’ll learn how to use the NumPy argmax() function to find the index of the largest value in an array. The np.argmax() function can be used to find the maximum value across an array, as well as across axes of different dimensions. The function can often be confusing, though this tutorial should
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In this tutorial, you’ll learn how the modulo operator (%) works in Python. The Python modulo operator is one of the many arithmetic operators that are available in Python and one that you’ll encounter often. Because of this, understanding the details of how this operator works is an important skill for any Python developer. The
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In this tutorial, you’re going to learn how to convert a JSON file or string into a Python dictionary. Being able to work with JSON data is an important skill for a Python developer of any skill level. In most cases, data you access through web APIs will come in the form JSON data. Being
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In this tutorial, you’ll learn how to use the Python reduce() function to reduce iterables, such as lists. The Python reduce function takes an iterable of any length and a function and returns a single, reduced value. For many common operations, Python now provides simpler ways than using the reduce() function. However, the function provides
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In this tutorial, you’ll learn how to save your Pandas DataFrame or DataFrames to Excel files. Being able to save data to this ubiquitous data format is an important skill in many organizations. In this tutorial, you’ll learn how to save a simple DataFrame to Excel, but also how to customize your options to create
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In this tutorial, you’ll learn how to use Python to find prime numbers, either by checking if a single value is a prime number or finding all prime numbers in a range of values. Prime numbers are numbers that have no factors other than 1 and the number itself. Being able to work with prime
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