RSpec
Cucumber
JUnit
PHPUnit
Arquillian
Selenium
Capybara
Testcontainers
SciPy
NumPy
Pandas
Matplotlib
MATLAB
Scikit-learn
Anaconda
Seaborn
RSpecBased on our record, RSpec should be more popular than SciPy. It has been mentiond 31 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.
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 / 3 months 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 / 7 months 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 / 7 months 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 / 11 months ago
5. Automated Tests: Unit tests are automated tests that verify the behavior of a small unit of code in isolation. I like to write unit tests for every bug reported by a user. This way, I can reproduce the bug in a controlled environment and verify that the fix works as expected and that we wont see a regression. There are many different JavaScript test frameworks like Jest, cypress, mocha, and jasmine. We use... - Source: dev.to / 11 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we... - Source: dev.to / over 1 year ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / over 1 year ago
SciPy: a library used for scientific and technical computing. It has a function that can calculate the cosine distance, which equals 1 minus the cosine similarity. - Source: dev.to / about 2 years ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 2 years ago
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
NumPy - NumPy is the fundamental package for scientific computing with Python
JUnit - JUnit is a simple framework to write repeatable tests.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PHPUnit - Application and Data, Build, Test, Deploy, and Testing Frameworks
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...