Welcome to the 16th
Issue! Our monthly newsletter curates some of the best projects developed
with Google tech that have been submitted to the Google Dev Library platform.
We hope this brings you the inspiration
you need for your next
project!
Learn how to load stylesheets only when needed without making them part of an application
bundle.
Check out content from
Google Cloud, Angular, Android, ML, &
Flutter
Android
Check out this Android library that offers dialogs and views for
various use cases built with Jetpack Compose for Compose projects by Maximilian
Keppeler.
Learn how to create and publish your own Android Library with
JitPack by Matteo Macri.
Angular
Dive
into into composition and inheritance in Angular by Dany Paredes featuring an
example focused on forms that highlights why you should be careful using inheritance in
components.
Read “Angular dependency injection understood” by Jordi Riera to
gain a broader perspective of how it works, why it is important, and how to leverage it inside
angular.
Cloud
Learn how Iris automatically assigns labels to Google Cloud
resources for manageability and easier billing reporting in this post by Joshua
Fox.
Check out Glen Yu’s hack for those in regions without access to
native replication in “Pulumi DIY GCS replication” - some of these solutions will require
understanding of the fundamental building blocks that make up the Google Cloud
Platform.
Flutter
Learn how to make Flutter projects scalable by using a
modularization approach in R. Rifa Fauzi Komara’s article, “Flutter: mastering
modularization”.
Check out Let’s Draw by Festus Olusegun, a simple app made with
Flutter that enables users to draw art with freehand, line, and shape
tools.
Explore how to use Cubits from the Bloc library to manage states
and get the benefits and drawbacks of this approach in Verena Zaiser’s
article.
Machine Learning
Get an overview on Convolutional Neural Networks (CNNs,
ConvNets), why they matter, and how to use them in Henry Ndubuaku’s tutorial, “Applying CNNs
to images for computer vision and text for NLP”.
See why
you should add deep learning framework Jax to your stack and get an intro to writing and
training your own neural networks with Flax in this introduction tutorial by Phillip
Lippe.
Want to read
more?
Check out the
latest projects and community-authored content by visiting Google Dev Library.
Submit your projects to showcase your work and inspire
developers!