Readers at the Sharp Sight blog will know that I put a lot of emphasis on data manipulation. You’ve heard me repeat the stat many times: 80% of your work as a data scientist will be data manipulation. Although there is a little nuance to that statement, roughly speaking, it’s true. A lot of your … Read more
A few days ago, I was writing some code for a new machine learning course that I’m building, and I had a somewhat tricky problem to solve. As I’ve said in the past, Pandas code (and data manipulation more generally) is very important for machine learning. Not just for wrangling your data into the proper … Read more
Jesus. I just spent about an hour playing with GPT, asking it to write some Pandas code for me, and I want to set my computer on fire. Do you know the frustration and mild contempt you feel when something will make your life harder, but also offend your aesthetic sensibilities? Like going to a … Read more
Recently, I wrote a blog post stating that I’m starting to use Python for most of my data science work. And I’m starting to recommend Python as the data science language to use for most beginners. But is it always best? No. As always, it depends: As I like to ask people: “Who are you … Read more
This tutorial will show you how to save multiple Numpy datasets in a single .npz file with Numpy savez. It explains what the np.savez does, explains the syntax, and shows step-by-step examples of how to use Numpy savez. If you need something specific, just click on any of the following links. Table of Contents: Introduction … Read more
This tutorial will show you how to use Numpy loadtxt to load numeric data stored in a text file into a Numpy array. The tutorial explains what the function does, explains the syntax, and shows step-by-step examples of how to use np.loadtxt. If you need something specific, you can click on any of the following … Read more
This tutorial will show you how to recode a categorical variable in a Python dataframe. Specifically, it will show how to recode a column a Pandas Dataframe. You can click on any of the following links to jump to a specific spot in the tutorial. Table of Contents: Syntax Explanation Examples Frequently Asked Questions Having … Read more
This tutorial will explain how to use the Pandas map method to replace values in a Pandas Series. The tutorial will explain what the method does, how the syntax works, and will show you a few step-by-step examples of how to use it. If you need something specific, just click on one of the following … Read more
This tutorial will show you how to save your Numpy arrays to a text file using Numpy savetxt. The tutorial explains what the function does, explains the syntax, and shows step-by-step examples of how to use np.savetxt. If you need something specific, you can click on any of the following links. Table of Contents: Introduction … Read more
In this tutorial, I’ll show you how to use Numpy load to load Numpy arrays from stored npy or npz files. So I’ll explain what Numpy load does, I’ll explain the syntax of np.load, and I’ll show you step-by-step examples of how to use it. If you need something specific, you can click on any … Read more