In this tutorial, you’ll learn how to use the Python requests library’s get method to fetch data via HTTP. The Python requests library abstracts the complexities in making HTTP requests. The requests.get() method allows you to fetch an HTTP response… Read More »Python requests: GET Request Explained
In this tutorial, you’ll learn how to use the Python frozenset data structure. The frozenset in Python is often overlooked and many Python users don’t even know that it exists. The frozenset is a data structure that emulates the set,… Read More »Python frozenset: Overview and Examples
In this tutorial, you’ll learn how to use the NumPy stack() function to join NumPy arrays along various axes. NumPy is an essential Python library for anyone working with data in Python. The NumPy stack() function allows you to combine… Read More »NumPy Stack: Join NumPy Arrays Along Different Axes
In this tutorial, you’ll learn how to use the NumPy squeeze() function. The np.squeeze() function allows you to remove single-dimensional entries from an array’s shape. This allows you to better transform arrays that aren’t shaped in the way that makes… Read More »NumPy Squeeze: Removing Dimensionality from NumPy Arrays
In this tutorial, you’ll learn how normalize NumPy arrays, including multi-dimensional arrays. Normalization is an important skill for any data analyst or data scientist. Normalizing a vector means that its vector magnitude is equal to 1, as a unit vector.… Read More »How to Normalize NumPy Arrays
In this tutorial, you’ll learn how to use the Python divmod() function. The divmod() function takes two numbers are its arguments and returns their quotient and remainder. The function provides a number of incredibly helpful applications, such as being able… Read More »Python Divmod Function & Examples
In this tutorial, you’ll learn how to use the NumPy repeat() function. The np.repeat() function is used to repeat arrays and provides significant opportunity to customize how the arrays are repeated. Being able to work with NumPy arrays is an… Read More »NumPy Repeat Function: Repeating NumPy Arrays
In this tutorial, you’ll learn how to make 3D scatterplots using Matplotlib. Being able to visualize data in three dimensions can be an important step in clearly articulating data, especially in science and machine learning. By the end of this… Read More »How to Create 3D Scatterplots in Matplotlib
In this tutorial, you’ll learn how to calculate percentiles in NumPy using the np.percentile() function. A percentile is a measure that indicates the value below which a percentage of observations in a group fall. For example, the 50th percentile will… Read More »How to Calculate Percentiles in NumPy with np.percentile
In this tutorial, you’ll learn how to use the NumPy exponential function, np.exp(). The function raises the Euler’s constant, e, to a given power. Because Euler’s constant has many practical applications in science, math, and deep learning, being able to… Read More »NumPy Exponential: Using the NumPy.exp() Function
In this tutorial, you’ll learn how to change font sizes on a Matplotlib plot. You’ll learn everything you need to know to customize your Matplotlib plot to have exactly the font sizes you want. Data visualization is an incredible tool… Read More »How to Change Font Size in Matplotlib Plot
In this tutorial, you’ll learn how to define and set the marker size in Matplotlib scatterplots. Being able to control the size of your Matplotlib scatterplots allows you to add extra information to your scatterplots. This allows you to communicate… Read More »Set Marker Size in Matplotlib Scatterplots
