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GitHub actions are an amazing tool that allows us to run code based on triggers inside of our repo. Their is a large and growing community of actions inside the marketplace to use with very little effort. Best of all they are free for public repositories, and private repos have a very generous free tier. I have been diving deep into Github actions for about a month now and they are wicked good! They allow you to run any sort of arbitrary code based on events in your repo, webhooks, or schedules. They are very reasonably priced. The interface that GitHub hs developed for them is top-notch! It’s so good I have done 90% of my editing of them right from github.com. TLDR some interaction to your repository triggers code to run. The online editor for actions is pretty amazing. When creating a new workflow it automatically sets up a new blank workflow or a workflow from the marketplace for you in your directory. This is all it takes to get an action running, a or file in the directory. The ed…

Github actions are written in configuration files using the YAML syntax. YAML is a superset of JSON. Most YAML can be expressed inline with JSON syntax. Similar to python YAML is whitespace driven by whitespace rather than brackets tags. The argument for using YAML for configuration files such as actions is that it is more human-readable and editable. It’s much easier to see the whitespace layout than it is to get closing brackets correct. For actions, I believe this is mostly true. I don’t see any use case to get past 3-5 indents, which is completely manageable. Can I just say that I learned more than I realized about YAML by writing this article Arrays and Objects In YAML or JSON, the most basic containers for data are arrays, a 1D list of things, and objects, for key-value pairs. Arrays The start of an array container is signified with a leading. This is probably one of the big things I didn’t understand about YAML before writing this post, but hats off to the GitHub actions editor…

Today I learned how to diff between two branches. Sometimes we get a little happy and mistakenly commit something that we just can’t figure out. This is a good way to figure out what the heck has changed on the current branch compared to any other branch. Example Let’s create a new directory, initialize git and toss some content into a readme. After all of that, we have a git repository on our local machine with a single file that contains the following. Create a branch and ✍ edit Let’s checkout a new branch called Waylon and change the word to in our file, then diff it. At this point we have one commit. Things are really straightforward, and our diff will be the same between the last commit and the main branch since. Let’s make another commit by adding the date. 👆 At this point, our diff doesn’t tell us the whole story between our current state and main, only between our current state and our last commit. Let’s commit our changes and compare our branch to main. Git is powerful I learn…

This is a quickstart to getting a new kedro pipeline up and running. After this article you should be able to understand how to get started with kedro. You can learn more about this Hello World Example in the docs 🧹 Install Kedro 🛢 Create the Example Pipeline 💨 Run the example 📉 Show the pipeline visualization Create a Virtual Environment I use conda to control my virtual environments and will create a new environment called with the following command. note the latest compatible version of python is 3.7. EDIT: as of kedro 0.16.0 kedro supports up to 3.8 Options Activate your conda environment I try to keep my base environment as clean as possible. I have ran into too many issues installing things in the base environment. Almost always its some dependency that starts causing issues making it even harder to realize where its coming from as I never even installed it in base. Install Kedro Currently is available on pypi and can be pip installed. EDIT kedro is up to Make sure you are in the…

Learn the business Learn Git Your code does not need to be amazing Keep Learning Learn Git You dont have to start out as a git wizard with the cleanest possible commit history. At first dont let yourself get too wrapped up in it, the most important part is that you make commits. You will find needs for more advanced stuff later. Get comfortable with this, then learn how to,,, etc… Your code does not need to be amazing Get the job done. Keep it in small bite size pieces. Make readable function definitions and variable names. You will thank yourself for naming things well later. Readability counts more than performance in most cases of data science. If it gets the job done try not to over worry about things like performance. A few extra seconds to clean a dataset or build a model is not worth hours of your time. As you go you will have cases that performance is more critical and you will learn what to do from the start to avoid them.

I am working through Wes Bos’s beginnerjavascript.com/ I just hit module 18 on hoisting. It’s something that I always knew was there, Its not something I typically see used or use myself. Do you Hoist? Do you have any use cases that you use hoising? Why? It seems like a really cool feature in any language that uses it, but I dont really notice it in use. What is Hoising There are many articles that cover this in far more depth, but its the idea that variable declarations and functions are defined before they are executed. This means that it doesnt matter if you call a function before or after it is defined. Hoisting Running this code will log out “Waylon” What about variable hoisting I am most familiar with python which does not variable hoist so this one kinda confused me at first. It only hoists the variable declaration not the value of the variable. It defines whether the variable is going to be,, or and sets it to undefined. It only hoists the variable declaration not the value of…

What is Kedro This is my original what-is-kedro article. There is a brand new one Kedro is an open source data pipeline framework. It provides guardrails to set your project up right from the start without needing to know deeply how to setup your own python library for data pipelining. It includes really great ways to manipulate and. This article will cover the 10K view of kedro, future articles will dive deper into each one. kedro is an open-source data pipeline framework. It provides guardrails to set your project up right from the start without needing to know deeply how to set up your own python library for data pipelining. It includes great ways to manipulate and. This article will cover the 10K view of kedro, future articles will dive deeper into each one. Libraries Currently, kedro is broken down into 3 different libraries. 💎 kedro 📉 kedro-viz 🏗 kedro-docker kedro kedro is the core of the ecosystem. It provides the docs, getting started, templates, and the core library including…

Getting a custom scrollbar on your site makes it stand out a bit compared to the very plain stock one that are on most sites. This is how I set mine up on my gatsby site. Inspired by Wes Bos’s new uses.tech I wanted a custom scrollbar on my personal site. I had tried to do it in the past, but gave up after it was not working. Looking at the Source Since uses.tech is open source I jumped on github, searched for scroll and found this layout.js. Copy it to my own component My first step was to take his css and copy it into a styled component for my entire layout, but it failed. I do not fully understand why. None of the custom style came through at all. If you know please leave me a comment. I suspect for some reason it has to do with attatching to the html element inside of a styled-component. I think wes was able to get around this by using. But I was still using much of the default gatsby template, so I did not have a element, but I did have a layout.css. scroll.css I added to my stati…