This tutorial will cover the NumPy random normal function (AKA, np.random.normal). If you’re doing any sort of statistics or data science in Python, you’ll often need to work with random...continue reading.
This tutorial will explain how to use the NumPy concatenate function in Python (which is sometimes called np.concatenate). This post will cover several topics. If you don’t want to read...continue reading.
This tutorial will teach you how to use facet_wrap to create small multiple charts in ggplot2. The small multiple design is an incredibly powerful (and underused) data visualization technique. facet_wrap...continue reading.
This tutorial will show you how to use the NumPy append function (sometimes called np.append). Here, I’ll explain what the function does. I’ll explain the syntax (piece by piece), and...continue reading.
The NumPy linspace function (sometimes called np.linspace) is a tool in Python for creating numeric sequences. It’s somewhat similar to the NumPy arange function, in that it creates sequences of...continue reading.
The Numpy arange function (sometimes called np.arange) is a tool for creating numeric sequences in Python. If you’re learning data science in Python, the Numpy toolkit is important. The NumPy...continue reading.