Search results
Results From The WOW.Com Content Network
For example, many frameworks provide libraries for database access, template processing and session management, and often promote code reuse. Though they often target development of dynamic websites they are also applicable to static websites. This category lists web frameworks written in and/or designed for use with Python.
Python currently boasts a wide variety of web application frameworks, such as Zope, Quixote, Webware, SkunkWeb, PSO, and Twisted Web -- to name just a few. This wide variety of choices can be a problem for new Python users, because generally speaking, their choice of web framework will limit their choice of usable web servers, and vice versa...
TurboGears is a Python web application framework consisting of several WSGI components such as WebOb, SQLAlchemy, Kajiki template language and Repoze.. TurboGears is designed around the model–view–controller (MVC) architecture, much like Struts or Ruby on Rails, designed to make rapid web application development in Python easier and more maintainable.
Airflow is written in Python, and workflows are created via Python scripts. Airflow is designed under the principle of "configuration as code". While other "configuration as code" workflow platforms exist using markup languages like XML, using Python allows developers to import libraries and classes to help them create their workflows.
GStreamer is a pipeline-based multimedia framework that links together a wide variety of media processing systems to complete complex workflows. For instance, GStreamer can be used to build a system that reads files in one format, processes them, and exports them in another.
Pylons Project is an open-source organization that develops a set of web application technologies written in Python.Initially the project was a single web framework called Pylons, but after the merger with the repoze.bfg framework under the new name Pyramid, the Pylons Project now consists of multiple related web application technologies.
Nextflow comes with specific executors for various platforms, including major cloud providers. It supports the following environments for pipeline execution: [16] Local: This is the default executor where Nextflow pipelines run on Linux or Mac OS, and the execution occurs on the computer where the pipeline is launched.
DVC pipeline is focused on the experimentation phase of the ML process. Users can run multiple copies of a DVC pipeline by cloning a Git repository with the pipeline or running ML experiments. They can also record the workflow as a pipeline, and reproduce [28] it in the future. Pipelines are represented in code as yaml [29] configuration files ...