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I ran a discussion on dev that collected quite a list of examples in the comment section. So many great calls to action, animations, memes, and weird tricks. [1] My current profile # [2] [3] social icons # [4] Upload all of your icons to the repo in a directory such as icons or assets, then link them with a height attribute like below. I used html [5] for mine, not sure if you can set the height in markdown. <a href="https://dev.to/waylonwalker"><img height="30" src="https://raw.githubusercontent.com/WaylonWalker/WaylonWalker/main/icon/dev.png"></a>&nbsp;&nbsp; note I did add a bit of &nbsp; (non-breaking-whitespace) between my icons. Without adding css this seemed like the simplest way to do it. Center # [6] Aligning things in the center of the readme is super simple. I used this trick to align my social icons in the middle. <p align='center'> ...html </p> right # [7] For my latest post [8] I floated it to the right with a little bit of align='right' action. <p> <a ...

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. I generally post these as a carousel on LinkedIn based on a full article. Let mw know what you think of it shown inside of a blog @_waylonwalker [1]. [2] See the full article here [2] Slides # [3] --- [4] --- [5] --- [6] --- [7] --- [8] --- [9] --- [10] --- [11] --- [12] --- [13] References: [1]: https://twitter.com/_WaylonWalker [2]: https://waylonwalker.com/python-args-kwargs [3]: #slides [4]: https://dropper.waylonwalker.com/file/bf003440-5ddb-4b31-a52b-affe9989aa55.webp [5]: https://dropper.waylonwalker.com/file/22de97ef-3b0b-4b39-b5f9-11060d07e452.webp [6]: https://dropper.waylonwalker.com/file/b3000590-5046-4d97-...

Why use kedro catalog? # [1] While using the catalog alone will not reap all of the benefits of the framework, it does get you and your project ready for the full framework eventually. For me the full benefit of the catalog comes when you combine it with the pipeline and dont even touch read/write steps at all. Taking a step into kedro by adopting the catalog first will give you a way to organize all of your data loads in one place, and stop manually writing read/write code, which can be different for each data and storage type. You just don’t need to think about it. --- - iperitive loading style - organizes your data - all file locations can be quickly identified - can be dropped into kedro later --- “can be dropped into kedro later” Let’s talk a bit more about that 2 Ways to Gracefully adopt the catalog # [2] How do I get started with the kedro catalog - add with the code api - load from yaml (recommended) 1. Adding to the catalog with the code api # [3] how to use ...

kedro 0.16.2 just dropped last week with a long-awaited feature… catalog search! I went as far as monkey patching this into each of my projects. I work jump between a few really big projects that have tons of datasets. Being able to quickly search for what I need is so useful. The Catalog # [1] The kedro data catalog is a key component to the kedro framework. It handles all data loading and saving for you. It is configurable and hackable. Having all your data connections listed in one place make it so easy to pick your project up and move it to a completely new environment. That sweet imperative loading style saves so much read/write overhead. I can load all my data with a single command whether it’s in amazon s3, google cloud platform, or a local file. Kick start a toy project # [2] Just like with most of these articles, I am going to create a conda environment so that I don’t break any existing projects and scaffold up a toy project to learn from. conda create -n kedro0162 py...

This day 8 years ago I started my first day as a Mechanical Engineer. I am so grateful for this journey that I have been able to have. There is no way that I could have planned this journey from the beginning. Keep Learning # [1] My initial career plans were down a completely different path. I have been very flexible in taking on a new career path. I have been eager to learn new things and respond to life changes that I never would have imagined. Life Changes # [2] Very severe chronic health issues from my family restricted my ability to travel to the facilities I served as a Mechanical Engineer. I was able to stay strong and make it work. But in the meantime, I was learning new skills that enabled me to be more effective remotely. I was scared. # [3] It was in these times that I found a love for data, and taking action from insights I found with data. I learned how to use python to enable me to be more effective. I did this primarily from hospital waiting rooms and many overn...

Passing inputs into kedro is a key concept. Understanding how it accepts a single catalog key as input is quite trivial that easily makes sense, but passing a list or dictionary of catalog entries can be a bit confusing. *args/**args review # [1] Check out this post for a review of how *args **kwargs work in python. understanding python *args and **kwargs [2] python args and kwargs [3] article by @_waylonwalker [4] All Kedro inputs are catalog Entries # [5] When kedro runs your pipeline it uses the catalog to imperatively load your data, meaning that you don’t tell kedro how to load your data, you tell it where your data is and what type it is. These catalog entries are like a key-value store. You just need to give the key when setting up a node. Single Inputs # [6] These are fairly straightforward to understand. In the example below when kedro runs the pipeline it will load the input from the catalog, then pass that input to the func, then save the returned value to the out...