notebook
pytest
notebook | pytest | |
---|---|---|
10 | 30 | |
11,172 | 11,402 | |
0.8% | 1.0% | |
9.2 | 9.8 | |
1 day ago | about 14 hours ago | |
Jupyter Notebook | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
notebook
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Jupyter Notebook 7
For folks asking what the Notebook UX offers that the Lab does not, this github thread may be enlightening: https://github.com/jupyter/notebook/issues/6210
(TLDR: some novice users in educational settings find the lab environment overwhelming.)
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The Best Python IDE For Mac Users - Part 1
For further info refer to the official GitHub Repo.
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I've been writing Python for years but wanted to get into open source dev, but, what can a person do?
https://github.com/jupyter/notebook has over 2000 open issues
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as simple as it is here, whats the error?
DisabledFunctionError: cv2.imshow() is disabled in Colab, because it causes Jupyter sessions to crash; see https://github.com/jupyter/notebook/issues/3935. As a substitution, consider using from google.colab.patches import cv2_imshow
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How to use Jupyter notebooks in a conda environment?
As it seems, this is not quite straight forward and manyusers have similar troubles.
- How do I disable .ipynb_checkpoints forever!
- The future of the classic notebook interface · Issue #6210 · Jupyter/notebook
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The end is near
cough-cough-cough
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Cannot open Jupyter Notebook due to some Traceback error
Take a look here: https://github.com/jupyter/notebook/issues/3435
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Hacktoberfest: 69 Beginner-Friendly Projects You Can Contribute To
https://github.com/jupyter/notebook Jupyter Interactive Notebook
pytest
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Integrating Lab Equipment into pytest-Based Tests
In this blog post I want to demonstrate how my lab equipment such as a lab power supply or a digital multimeter (DMM) have been integrated into some pytest-based tests. Would love to get your feedback and thoughts! 🚀
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The Uncreative Software Engineer's Compendium to Testing
Pytest: is a third-party testing framework that supports fixtures, parameterized testing, and easy test discovery while having room to add plugins to extend its functionality.
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pytest VS vedro - a user suggested alternative
2 projects | 16 Jul 2023
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TDD vs BDD - A Detailed Guide
Next, you need to install a testing framework that will be used for performing unit testing in your project. Several testing frameworks are available depending on the programming language used to create an application. For example, JUnit is commonly used for Java apps, pytest for Python apps, NUnit for .NET apps, Jest for JavaScript apps, and so on. We’ll use the Jest framework for this tutorial since we are using JavaScript.
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Is there a way to automate testing in python? In my case :
Yea, read through the pytest docs.
- Testing an automation framework
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Pytest Tips and Tricks
I absolutely agree about fixtures-as-arguments thing. Ward does this a lot better, using default values for the fixture factory. There's a long issue on ideas to implement something like that as a pytest plugin (https://github.com/pytest-dev/pytest/issues/3834), but it seems the resulting plugin relies on something of a hack.
- 2023 Development Tool Map
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Is my merge sort right?
I recommend writing a few tests. py.test makes that quite simple:
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How to raise the quality of scientific Jupyter notebooks
Since ITK's inception in 1999, there has been a focus on engineering practices that result in high-quality software. High-quality scientific software is driven by regression testing. The ITK project supported the development of CTest and CDash unit testing and software quality dashboard tools for use with the CMake build system. In the Python programming language, the pytest test driver helps developers write small, readable scripts that ensure their software will continue to work as expected. However, pytest can only test Python scripts by default, and errors in untested computational notebooks are more common than well-tested Python code.
What are some alternatives?
jupyter - Jupyter metapackage for installation, docs and chat
nose2 - The successor to nose, based on unittest2
matplotlib - matplotlib: plotting with Python
Robot Framework - Generic automation framework for acceptance testing and RPA
graph-notebook - Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Behave - BDD, Python style.
moment - Parse, validate, manipulate, and display dates in javascript.
Slash - The Slash testing infrastructure
Vue.js - This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
Sinatra - Classy web-development dressed in a DSL (official / canonical repo)
nose - nose is nicer testing for python