Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.
Black makes code review faster by producing the smallest diffs possible. Blackened code looks the same regardless of the project you’re reading. Formatting becomes transparent after a while and you can focus on the content instead.
Flake8 is a wrapper around these tools: PyFlakes; pycodestyle; Ned Batchelder’s McCabe script. Flake8 runs all the tools by launching the single flake8 command. It displays the warnings in a per-file, merged output.
Jupyter supports interactive data science and scientific computing across all programming languages. Jupyter Notebook and its flexible interface extends the notebook beyond code to visualization, multimedia, collaboration, and more.
This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing style guidelines for the C code in the C implementation of Python . This document and PEP 257 (Docstring Conventions) were adapted from Guido's original Python Style Guide essay, with some additions from Barry's style guide .
Pytest is a mature full-featured Python testing tool that helps you write better programs. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
To allow researchers to quickly disseminate the results of their research. This will considerably increase the potential of citations of scientific papers. To provide a large community of users with the ability to use the latest scientific methods. This will speed up the process of converting scientific results into productive forces. To allow members of the academic community (researchers, editors, referees, etc.) to replicate scientific results and to demonstrate their robustness. This will increase transparency and trust in science.