pytest
RSpec
unittest
JUnit
Cucumber
PHPUnit
Froglogic Squish
Mockito
Matplotlib
Pandas
GnuPlot
NumPy
Plotly
Seaborn
D3.js
SciDaVis
pytest MatplotlibBased on our record, Matplotlib seems to be a lot more popular than pytest. While we know about 110 links to Matplotlib, we've tracked only 5 mentions of pytest. 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.
Pytest is an excellent alternative to unittest. Even though it doesn't come built-in to Python itself, it is considered more pythonic than unittest. It doesn't require a TestClass, has less boilerplate code, and has a plain assert statement. Pytest has a rich plugin ecosystem, including a specific Django plugin, pytest-django. - Source: dev.to / over 1 year ago
For this lab exercise I had the opportunity to add unit tests to a classmate's project and experience their CI workflow. For this exercise I worked on go-go-web by kliu57. Go-Go Web is written in Python and uses the pytest testing framework. This was my first time writing tests for pytest, but I found the pytest docs helpful. However, more helpful was the information provided in the associated issue and the tests... - Source: dev.to / almost 2 years ago
This week, in a setup for a CI/CD pipeline, I added unit and integration testing using Pytest to my Python CLI and utilized pytest-cov for generating a coverage report. As always, the merged commit for changes to the repo can be found here. - Source: dev.to / almost 2 years ago
After looking through the various unit testing tools available for Python like pytest, unittest (built-in), and nose, I went with pytest for its simlpicity and ease of use. - Source: dev.to / almost 2 years ago
Up until now we've been using python's unittest module. This was chosen as a first step since it comes with python out of the box. Now that we've gone over dev dependencies I think it's a good time to look at pytest as a unit test alternative. I highly recommend getting accustomed to pytest as it's used quite often in the python ecosystem to handle testing for projects. It's also a bit more user friendly in how it... - Source: dev.to / almost 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, A…. - Source: dev.to / 14 days ago
Matplotlib is Python's visualization standard:. - Source: dev.to / 3 months ago
Matplotlib is a foundational and incredibly versatile plotting library in Python, making it a go-to choice for many data scientists and analysts. While many data visualization libraries exist, Matplotlib offers some significant advantages that make it indispensable. - Source: dev.to / 4 months ago
Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / 6 months ago
Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 10 months ago
RSpec - RSpec is a testing tool for the Ruby programming language born under the banner of Behavior-Driven Development featuring a rich command line program, textual descriptions of examples, and more.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
unittest - Testing Frameworks
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
JUnit - JUnit is a simple framework to write repeatable tests.
NumPy - NumPy is the fundamental package for scientific computing with Python
