Explore >> Select a destination
|
You are here 
|
ploomber.io | ||
| | | | |
blog.thalheim.io
|
|
| | | | | In this article, I will explain how to perform full integration tests with flakes outside nixpkgs. With NixOS testing framework, you can create end-to-end integration tests easily. It all comes down to starting a virtual machine based on your custom modules and testing its state with a Python script. This way, you can identify in advance all the regressions and incompatible configurations arising from the updates you introduced. One of the framework's upsides is that it's extremely fast - maybe the faste... | |
| | | | |
tomaugspurger.net
|
|
| | | | | Welcome back. As a reminder: In part 1 we got dataset with my cycling data from last year merged and stored in an HDF5 store In part 2 we did some cleaning and augmented the cycling data with data from http://forecast.io. You can find the full source code and data at this project's GitHub repo. Today we'll use pandas, seaborn, and matplotlib to do some exploratory data analysis. For fun, we'll make some maps at the end using folium. | |
| | | | |
www.rasulkireev.com
|
|
| | | | | In this post we are going to apply some basic machine learning on our clean dataset. We are going to focus on using Scikit Learn | |
| | | | |
colah.github.io
|
|
| | | [AI summary] This article explains the structure, functionality, and significance of convolutional neural networks (CNNs) in pattern recognition and computer vision, highlighting their applications and breakthroughs. | ||
