CodeIsGo.com

With the extensive number of programming languages available out there, for any language to emerge among the best is no easy feat. On hackermoon by Education Ecosystem.

Currently, Go is powering an extensive number of popular projects and supporting the development of top-notch innovations across several industries. For example, Docker, the popular containerization platform, is entirely crafted in the Go programming language.

The article dives into:

• Go’s exciting features
• Why developers love Go
• How far could Go go?

Google is backing Go. Other companies are also supporting Go development. For example, ActiveGo, an open source language company, supports the usage of Golang in enterprise-level applications. Well worth your time!

Ola Puchta-Górska is author if this piece about SoftwareMill experience with developing software for clients and how they work in self-organizing teams.

SoftwareMill has always run as a fully remote team. They have grown from 4 founders to 60 people working remotely, developing software for clients.

The article focuses on:

• Why self-organize
• What you get as a developer
• What you get as a client
• 5 ingredients of a successful self-organizing team
• How to make decisions in a self-organizing team

This article is a good source of inspiration for you and triggers your own ideas on how to set up your self-organizing team. Good!

One of the cool things about separating the container runtimes into different tools is that you can start to combine them to help secure one other. An article by Daniel Walsh.

Until recently, most people were leaking the Docker socket into the container and then allowing the containers to do docker build. Giving people root access on the system or sudo without requiring a password is more secure than allowing access to the Docker socket.

The RedHat have built an example of what they think is the best way to run Buildah inside of a container and have made these container images public at quay.io/buildah.

The article is split into:

• Buildah setup
• Running Buildah inside a container
• Additional stores

Running Buildah within a container in Kubernetes/CRI-O or Podman, or even Docker is easy to do, and it can be done a much more securely then leaking in the docker.socket. Author have added a lot of flexibility with the image to allow you to run it in different ways depending on your security and performance needs. Nice read!

Learn how to build and secure a travel manager CRUD application with Laravel 6.0. Author will walk through every step of building the application and then add authentication using Auth0. By Holly Lloyd, R&D Content Engineer.

In the era of hot new frameworks and languages being released all the time, mentioning you’re a PHP developer usually results in some side-eye. But modern PHP has changed a lot from where it was ten years ago. Performance has improved significantly, new features have been added, and awesome frameworks and packages are always being released.

The article then guides you through:

• Prerequisites and installation
• Creating routes
• Creating the database
• Creating the controllers
• Creating Views with Blade
• Adding authentication to your Laravel 6.0 Application

Auth0 comes with many authentication options, most of which you can enable with just a click from the dashboard. Includes universla login from a centralized authorization server, social login, multi-factor authentication, role management and more. Detailed article with all code examples included. Great!

An article by flant.com about how to create a solid operator using one of the most popular programming languages that almost every DevOps engineer is familiar with – Python.

Authors make things easy and practical, guiding you through creation of ea simple operator designed to copy ConfigMap when a new namespace shows up or when one of the following two objects – ConfigMap or Secret – changes its state.

The article describes:

• Please welcome Copyrator – the copy operator!
• CRD
• Environment variables or flags? Both!
• The operating logic of the operator
• Docker and Helm

.. plus plenty oif code to go with this article. All code is available in their public repository so you could get acquainted with it. Nice one for any lovers of Python!

Daniel Bourke is author of this piece about what to do if you have data and want to know how you can use machine learning with it.

For this article, you can consider machine learning the process of finding patterns in data to understand something more or to predict some kind of future event.

The following steps have a bias towards building something and seeing how it work:

• Problem definition – Rephrase your business problem as a machine learning problem
• Data – If machine learning is getting insights out of data, what data do you have?
• Evaluation – What defines success? Is a 95% accurate machine learning model good enough?
• Features – What features does your data have and which can you use to build your model?
• Modelling – Which model should you choose? How can you improve it? How do you compare it with other models? Experimentation – What else could we try? How do the other steps change based on what we’ve found? Does our deployed model do as we expected?

This is excellent source of information, with great and detailed schemes accompanying this long article, with clear and concise terminology and flow.

Stay tuned for more specific examples of each of the above steps and how they work in practice. Follow the author!

Piotr Mińkowski wrote this article about one very interesting framework dedicated for microservices architecture, which is becoming increasing popular –- Quarkus.

It is being introduced as a next-generation Kubernetes/Openshift native Java framework. Built on top of well-known Java standards like CDI, JAX-RS and Eclipse MicroProfile which distinguishes it from Spring Boot.

The article describes:

• Building REST-based application with input validation
• Communication between microservices with RestClient
• Exposing health checks (liveness, readiness)
• Exposing OpenAPI/Swagger documentation
• Running applications on the local machine with Quarkus Maven plugin
• Testing with JUnit and RestAssured
• Deploying and running Quarkus applications on Minishift using source-2-image

Also describes some different approaches when deploying Quarkus application on OpenShift. Very interesting!

An article by JeB Barabanov in which he explores the process of developing a Chrome extension with Angular. Start from scratch with ng new and finishing with fully functional Chrome extension.

There are couple of reasons that would make you want to develop a Chrome extension. Author believes that the main use case for developing an extension is to serve your needs as a developer.

The article then describes following:

• What Chrome extension consists of
  • Background script
  • Content script
  • Popup (in browser action)
• Communication between pages
• Loading the extension into Chrome
• Live reload and ng serve

… and more. Screen shots and code examples are also included. You will get all the necessary tools and understanding for developing a Chrome Extension with Angular in convenient and efficient way. Very nice!

Kunal Tandon wrote about his run through of the four patterns in JavaScript. To create objects in JS, there are various patterns that can be followed.

The article describes briefly each of these:

• Factory pattern
• Constructor pattern
• Prototype pattern
• Dynamic prototype pattern

With the factory pattern, we create a factory that creates specified objects and returns their reference. Every time we call the factory we get a new instance. While The dynamic prototype pattern is a hybrid of the constructor pattern and the prototype pattern.

You will get code examples for each pattern. Short and sweet.

Goku Mohandas wrote this comprehensive look at recent machine learning advancements in health. There exists source of data, beyond imaging studies, that can change the way we approach health: the electronic health record (EHR).

EHR systems can have data from a variety of different sources including billing data, patient demographics, medical history, lab results, sensor data, prescriptions, clinical notes, medical images, etc. Hospitals adopt EHR systems to store data for every patient encounter, mainly for billing and insurance-related administrative purposes, but we can leverage these records to capture trends and draw conclusions.

The article has these sections:

• Data in EHR systems
• Application themes
• Representation learning
• Information extraction
• Clinical predictions
• Emerging themes
  • Relationship extraction
  • Generative sampling
  • Multitask learning
• Industry applications
• Data sources
• Research papers

Excellent source of information for anybody interested in AI in health industry. Plenty of resources and articles to further enhance your studies. Great!