AWS Data Wrangler VS JUnit

I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool. Source: 5 months ago

Awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago

AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 2 years ago

Yep, agreed. Go is a great language for AWS Lambda type workflows. Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution. - Source: Hacker News / about 3 years ago

Unlike I expected, setting up the project with Junit proved to be really time-consuming for me. - Source: dev.to / 6 months ago

First, I chose a testing framework for my java project. JUnit is the most pupular testing framework for java. - Source: dev.to / 6 months ago

This code defines a JUnit test case for the getStrings() method of the MyClass class. Then it creates an instance of MyClass, calls the getStrings() method, and asserts that the result is not null using the assertNotNull() method. - Source: dev.to / 8 months ago

How you can link JUnit 5 tests with issues in your task tracker systems? - Source: dev.to / about 1 year ago

JUnit is a popular Java testing framework used for unit testing. It's an open-source tool that's designed to make it easy for developers to write and run automated tests. JUnit provides a set of annotations and assertions that can be used to define test cases and expected outcomes, and it can be easily integrated with other DevOps tools like Jenkins and Maven. - Source: dev.to / about 1 year ago