Published

It’s been a long time coming. We use some very harsh language within tech so much sometimes that we become numb to it. It’s time to do my very small part in this movement and purge this language from my active repos starting with this blog right here. Large Refactor At The Command Line [1] this post follows my method of refactoring code bases from the command line, read more about that in this article. c-s-f # [2] First off browsing through the content of my blog I found many references to master. I cannot completely whole-sale find and replace each one of them, because some of them are links that I do not own. Any set of instructions got upgraded from master to main - git checkout master + git checkout main There were countless cases of examples like this to comb through, but it feels good to have them purged of old language. rename routes # [3] Following yesterdays post, I am going to rename my markdown files /static/_redirects shorteners # [4] - /gdfm /blog/today-i-lear...

I just did a quick refactoring of my JAMStack blog urls. Some didn’t fit with my style, some had _ that I wanted to switch to -, and others were ridiculously long. I’ve been using forestry as my CMS, I write many of my posts there, and sometimes it picks some crazy file names (based on my titles). It was time to refactor. Large Refactor At The Command Line [1] When refactorings similar to this get really big I often need to do some project wide find an replace, I usually do this right from the command line. 🖊 Rename posts change the filename # [2] My post urls are based on the file name of my markdown file, so I can simply go through my filesystem and rename anything I want. From here its probably best to only commit the addition of the new file name, until the redirects clear, but these are all low traffic posts for me so I just commited both at once. Safely redirect without breaking links _redirects ⤴ /redirects # [3] I am hosted on netlify, which automatically puts very ⚡ ...

Python *args and **kwargs are super useful tools, that when used properly can make you code much simpler and easier to maintain. Large manual conversions from a dataset to function arguments can be packed and unpacked into lists or dictionaries. Beware though, this power can lead to some really unreadable/unusable code if done wrong. /* h2 {display: block;} */ h2>img { margin: auto; width: 100%;} Python *args and **kwargs are super useful tools, that when used properly can make you code much simpler and easier to maintain. Large manual conversions from a dataset to function arguments can be packed and unpacked into lists or dictionaries. Beware though, this power can lead to some really unreadable/unusable code if done wrong. *args are for lists # [1] *args are some magical syntax that will collect function arguments into a list, or unpack a list into individual arguments. recieving *args # [2] When recieving variables as a *<varname>, commonly *args, the arguments get packed ...

I recently discovered the ✨ awesomeness that is pre-commit. I steered away from it for so long because it seemed like a big daunting thing to set up, but really it’s easy. It will automatically run checks for you. In some cases, it will even automatically fix them for you. Out of the box, it will do things like automatically trim extra whitespace, fix file endings, and ensure file sizes are not too large for git [1]. I recently discovered the ✨ awesomeness that is pre-commit. I steered away from it for so long because it seemed like a big daunting thing to set up, but really it’s easy. It will automatically run checks for you. In some cases, it will even automatically fix them for you. Out of the box, it will do things like automatically trim extra whitespace, fix file endings, and ensure file sizes are not too large for git. Quickstart # [2] It comes with a sample-config that is pretty general purpose and use for just about any project in git. pip instal pre-commit pre-commit s...

Follow along the Journey as I build out kedro.dev [1]. Building a Community # [2] I have really enjoyed my own personal journey as I have started to build all of my data pipeline projects with the kedro framework. I want to start building a place to share resources with the community. I want to see this community grow and flourish. They say in front end web development if you are not using a framework you end up building one. That’s exactly what I was doing before I started using kedro. I want to build out a set of resources that this community can learn from and start to use the framework at their own pace without needing to develop their own from scratch. research # [3] Looking into the front end frameworks to see how they welcome their community. Much of my inspiration is from them, bringing lessons learned to data. pages # [4] - banner - nav - docs -> readthedocs - tutorial -> kedro-examples - blog -> medium - community - support - team - courses - examples - mee...

kedro-static-viz [1] is out with support for the newly released hooks feature. This means that you can have kedro-static-viz automatically deploy a full gatsby site before_pipeline_run keeping your visualization always up to date. Even though it is a static site there is no functionality lost. The only thing that’s missing is the flask server. With kedro-static-viz [1] you can deploy your visualization to a number of static hosting providers such as GitHub pages free of charge with wicked fast performance ⚡ It’s Fast # [2] Even though it’s built on gatsbyjs the full site builds in under 2s even on slower hardware. This is because the site is already pre-rendered and stripped of any excess. It’s zipped up right into the python package and is typically used with the cli, but now can be used with python, or as a hook as well. What is kedro-viz [3] 🤔 # [4] Kedro viz is a fantastic kedro plugin that allows you to visualize your data pipeline. Kedro allows you to quickly build produc...

There are two main ways to create kedro hooks, with modules and classes. Each one still uses the same verbiage as the function/method names. Class hooks seem a bit special as they give you a way to configure them so that they are a bit more generally useful. What is Kedro [1] If you are completely unsure what kedro is be sure to check out my what is kedro [2] post Installation # [3] .create a new environment manager of choice. Here I will use conda. Then we will install kedro from pypi. conda create -n kedro_class_hooks -y conda activate kedro_class_hooks # may also be source activate kedro_class_hooks or activate kedro_class_hooks pip install kedro Create a sample project # [4] Kedro new # [5] For more details check out my full post on kedro new [6] For this post I really just want a working pipeline as fast as possible. For this I am going to use iris pipeline that is generated from the kedro new command in the cli. It’s important that you answer y to create an example pi...

This post is a 🧠 branstorming work in progress. I will likely use it as a storage location/brain dump of hook ideas. What is Kedro 🤔 # [1] If you are completely unsure what kedro is be sure to check out my what is kedro [2] post after_catalog_created # [3] - filepath replacer - bucket replacer before_pipeline_run # [4] - preflight - check that data exists - run kedro_static_viz - run mypy - run interrogate - run flake8 after_pipeline_run # [5] - Great Expectations - send email - send slack before_node_run # [6] after_node_run # [7] - Great Expectations - save stats/meta data - Execution Order # [8] hooks are executed in reverse order of the hooks list. hooks with tryfirst will be moved to the end of the list hooks with trylast will be moved to the end of the list - after_catalog_created - before_pipeline_run - args - run_params = run_params = {‘run_id’: ‘2020-05-23T15.24.23.958Z’, ‘project_path’: ‘/mnt/c/temp/kedro0160’, ’env’: ’local’, ‘kedro_version’: ‘...

I want to incorporate some of the wonderful comments, \U0001F495, \U0001F984, and \U0001F516’s that I have been getting on dev.to on my website. I have dabbled once or twice with no avail this time I am taking notes on my journey, so follow along and let’s get there together. By the end of this post, I will have a way to get comments from posts on the client-side thanks to the wonderfully open dev.to API. I want to incorporate some of the wonderful comments, 💕, 🦄, and 🔖’s that I have been getting on dev.to on my website. I have dabbled once or twice with no avail this time I am taking notes on my journey, so follow along and let’s get there together. By the end of this post, I will have a way to get comments from posts on the client-side thanks to the wonderfully open dev.to API. The API # [1] dev.to has an open API that allows us to easily get comments as HTML [2]. They have their API hosted at https://docs.forem.com/api/#tag/comments, let’s take a look at it. [3] Here we can...

GitHub’s actions are a new GitHub feature that will trigger GitHub to spin up a virtual machine and run some tasks with some special access to your repo. It can interact with comments/issues, it can clone your repo, You can explicitly pass in secrets so that it can commit back to the repo or deploy to another service. The environment may be a Linux, windows, or even a mac machine. I believe this is wildly incredible for the open-source community, putting these tools in the same place that we are already collaborating is so convenient. What can they do for my personal website? 🤔 # [1] GitHub actions can give you confidence that your site is up and running, with the latest JavaScript packages, does not have broken links, and can even take screenshots of what your website looks like on different screen sizes and operating systems. - periodically check that the website is up - update npm - url checker - screenshot website srt32/uptime [2] # [3] srt32/uptime [2] is an action that...

stack overflow link [1] References: [1]: https://stackoverflow.com/questions/47488440/how-do-i-add-google-fonts-to-a-gatsby-site

Kedro provides an efficient way to build out data catalogs with their yaml api. It allows you to be very declaritive about loading and saving your data. For the most part you just need to tell Kedro what connector to use and its filepath. When running Kedro takes care of all of the read/write, you just reference the catalog key. But what is happening behind the scenes # [1] Under the hood there is an AbstractDataSet that each connector inherits from. It sets up a lot of the behind the scenes structure for us so that we dont have to. For the most part kedro has connectors for about anything that you want to load, csv, parquet, sql, json, from about anywhere, http, s3, localfile system are just some of the examples. Here is a DataSet implementation from their docs. Here you can see the barebones example straight from the docs. Parameters from the yaml catalog will get passed in from pathlib import Path import pandas as pd from kedro.io import AbstractDataSet class MyOwnDataSet(...