
RSpec
JUnit
Cucumber
PHPUnit
Arquillian
Capybara
TestNG
pytest
iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
RSpec
iPythonBased on our record, RSpec should be more popular than iPython. It has been mentiond 32 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.
As someone who has always appreciated TDD and BDD practices, Since 2012 used RSpec or Cucumber and implemented BDD practices in major companies like AOL, BCC. I can get the ideas and concepts pretty quickly. At Superagentic AI, weโve applied similar principles to our own work, in particular through SuperOptiX and our SuperSpec DSL, which allows users to define agent specifications in a human-readable way and... - Source: dev.to / 8 months ago
I am very comfortable with Minitest in Ruby. When I started to learn Rails, though, I was surprised by how different RSpec was. In case .NET testing is equally unlike the xUnit style, I should learn the idioms. - Source: dev.to / over 1 year ago
It supports both RSpec and Minitest as well as any other testing gem. There are flexible configurations options which allow to configure editor with needed testing tool. - Source: dev.to / over 1 year ago
I'm a huge supporter for TDD(Test Driven Development). Almost every piece code should be tested. During my co-op more than half of the time I spent writing test for my PR. I believe that experience really helped me understand the necessity of testing. I was surprised to see how similar the testing framework in JS and Ruby are. I used Jest which is very similar to RSpec I have used during my co-op. To mock http... - Source: dev.to / over 1 year ago
The describe and it keywords are popularly used in other JavaScript testing frameworks to write and organize unit tests. This style originated in Ruby's Rspec testing library and is commonly known as spec-style testing. - Source: dev.to / about 2 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
JUnit - JUnit is a simple framework to write repeatable tests.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks
Spyder - The Scientific Python Development Environment