RSpec VS Dask
Compare RSpec VS Dask and see what are their differences
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RSpec
Cucumber
JUnit
PHPUnit
Capybara
Arquillian
Mockito
Robot framework
Dask
Pandas
Apache Airflow
NumPy
Apache Spark
Burla
Celery
SciPy
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Based on our record, RSpec should be more popular than Dask. 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
We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: over 2 years ago
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: over 2 years ago
Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 2 years ago
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / over 2 years ago
I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: over 2 years ago
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
JUnit - JUnit is a simple framework to write repeatable tests.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks
NumPy - NumPy is the fundamental package for scientific computing with Python