RSpec
Cucumber
JUnit
PHPUnit
Capybara
Arquillian
Mockito
Robot framework
AWS Data Wrangler
Dask
Apache Spark
Kafka
Serverspec
Celery
Apache Airflow
OpenCV
RSpec AWS Data WranglerNo RSpec videos yet. You could help us improve this page by suggesting one.
Based on our record, RSpec should be more popular than AWS Data Wrangler. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When it comes to testing code, both frameworks are very much comparable since you can test either using the versatile RSpec library. - Source: dev.to / 13 days ago
When starting a Rails project, you have a lot of decisions to make. Whether or not to write tests should not be one of them. The big decision is to use Minitest or Rspec. Both of those testing frameworks are great and provide everything you need to test a Rails application thoroughly. - Source: dev.to / 2 months ago
As a beginner you can skip it, just focus on understanding Rails' philosophy and getting comfortable with it. However, make sure you remember to come back to unit testing later bc it's a mandatory skill for a Rails developer. Unit test can help you understand your project's specs thoroughly (assume its test coverage is more than 90%). I recommend learning RSpec instead of Rails' built-in testing tool (the one... Source: 11 months ago
RSpec is a testing framework for Ruby that is widely used in the Ruby on Rails community. It allows developers to write and execute automated tests. RSpec promotes behavior-driven development (BDD) by providing a readable syntax for describing the expected behavior of the application. - Source: dev.to / 11 months ago
In the Ruby programming language, one of the most popular testing frameworks is RSpec. RSpec is a flexible and expressive testing tool that allows you to write and run automated tests for your Ruby code. - Source: dev.to / over 1 year ago
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: 6 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
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
JUnit - JUnit is a simple framework to write repeatable tests.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks
Kafka - Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
