What we’ve learned leading an internship in the remote-work era
Key takeaways we’ve learned while migrating to a fully remote internship program as a small company, with a distributed team.
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Lab Notes: An Introduction to Android Jetpack Compose
Jetpack Compose is a game-changing fundamental rethink of Android UI development. Learn to write composable functions in Kotlin to generate (previewable!) UI components.
Writing Throwaway code, Part II: Moving to interactive notebooks in Ruby and Visual Studio Code
Interactive notebooks aren’t just for data scientists or Python developers. It’s easy to set up a Ruby backed sandbox using Visual Studio Code’s Jupyter compatible notebook support.
Lab Notes: TensorFlow for Time Series Prediction, Part 3 – LSTMs & Multi-Step Forecasts
In part 3 of our simple single-layer neural network TensorFlow series, we attempt to use Recurrent Neural Networks (RNNs) and Long Short-Term Memory Networks (LSTMs) for learning and predicting sequences in a time series.
Writing Throwaway Code, Part I: A file at a time using Ruby and Bundler inline
This article provides insights into how our backend developer sometimes leverages throwaway code. Maybe you’ll learn something to apply to your next learning venture.
Lab Notes: Looking at NestJS for Web Apps – Overview, Performance, Thoughts
NestJS is an open-source and scalable framework for building server-side web apps. We’ll discuss the practicalities and pitfalls of using it so you can decide if it’s right for your next project.
A Designer’s Introduction to Digital Accessibility – Part I
Accessibility can be difficult to get into, but that’s what we’re here for. This article is packed with introductory knowledge on the subject and will steer you in the right direction for learning more.
Lab Notes: TensorFlow for Time Series Prediction, Part 2 – Working with Time Series
In part II of our machine learning Series we explore the use of neural networks with a more specific dataset, imagining our dataset as a time series.
Kroger Partnership: Helping implement store occupancy monitoring amidst COVID-19
In the midst of COVID-19, we partnered with Kroger to provide a solution for monitoring store occupancy that was effective, quick to implement, and required little to no new equipment.
Lab Notes: TensorFlow for Time Series Prediction, Part 1 – Hello World
In part 1 of this series we’ll explore the fundamentals of machine learning and step through how a developer can implement AI, neural networks, and more into their projects.