## How to make a matplotlib histogram

This tutorial will explain how to make a matplotlib histogram. If you’re interested in data science and data visualization in Python, then read on. This post will explain how to...continue reading.

This tutorial will explain how to make a matplotlib histogram. If you’re interested in data science and data visualization in Python, then read on. This post will explain how to...continue reading.

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 show you how to use the NumPy mean function (often called np.mean). It will teach you how the NumPy mean function works at a high level and...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.

In this tutorial I’ll show you how to use the NumPy ones function, which is often called np.ones. What the numpy ones function does The NumPy ones function creates NumPy...continue reading.

This tutorial will explain NumPy axes. It will explain what a NumPy axis is. The tutorial will also explain how axes work, and how we use them with NumPy functions....continue reading.

This tutorial will show you how to use facet_grid in ggplot2. Specifically, it will show you how to use facet_grid to create small multiple charts. facet_grid is fairly easy to...continue reading.

This blog post is a fairly comprehensive ggplot2 tutorial for beginners. If you’re new to R and ggplot, this ggplot2 tutorial will cover a few things: What ggplot2 is The...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 geom_line to create line charts with ggplot2. Using geom_line is fairly straight forward if you know ggplot2. But if you’re a relative...continue reading.

This tutorial will show you how to use the NumPy sum function (sometimes called np.sum). In the tutorial, I’ll explain what the function does. I’ll also explain the syntax of...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.

Let’s talk about the NumPy zeros function. If you’re doing data science in Python, you need to be able to work with numerical data. One of the primary tools for...continue reading.

NumPy arrays are an important component of the Python data science ecosystem. When working with NumPy arrays, you’re going to need to be able to perform basic data manipulation. In...continue reading.

One of the cornerstones of the Python data science ecosystem is NumPy, and the foundation of NumPy is the NumPy array. That being the case, if you want to learn...continue reading.

Linear regression. It’s a technique that almost every data scientist needs to know. Although machine learning and artificial intelligence have developed much more sophisticated techniques, linear regression is still a...continue reading.

The scatter plot … It’s so common that almost everyone knows how to make one in one way or another. You see them in business, academia, media, news. Students use...continue reading.

The post R vs Python … which to learn for data science appeared first on Sharp Sight.continue reading.