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ELNs can have fine-grained access controls, and can be more secure than their paper counterparts. [2] They also allow the direct incorporation of data from instruments, replacing the practice of printing out data to be stapled into a paper notebook. [3] This is a list of ELN software packages.
A native mod_python adapter. Multiple HTTP servers (e.g. ability to listen on multiple ports). [7] A plugin system [8] CherryPy plugins hook into events within the server process — into server startup, server shutdown, server exiting, etc. — to run code that needs to be run when the server starts up or shuts down.
the server/gateway side. This is often running full web server software such as Apache or Nginx, or is a lightweight application server that can communicate with a webserver, such as flup. the application/framework side. This is a Python callable, supplied by the Python program or framework.
Twisted supports an abstraction over raw threads — using a thread as a deferred source. Thus, a deferred is returned immediately, which will receive a value when the thread finishes. Callbacks can be attached which will run in the main thread, thus alleviating the need for complex locking solutions.
The Gunicorn "Green Unicorn" (pronounced jee-unicorn or gun-i-corn) [2] is a Python Web Server Gateway Interface (WSGI) HTTP server. It is a pre-fork worker model, ported from Ruby's Unicorn project. The Gunicorn server is broadly compatible with a number of web frameworks, simply implemented, light on server resources and fairly fast. [3]
Users can have multiple projects on CoCalc, and each project has separate disk space and may be on an entirely different server. Many users can collaborate on a single project, and documents are synced, so multiple users can edit the same file at once, similar to Google Docs . [ 4 ]
IPython 5.x (Long Time Support) series is the last version of IPython to support Python 2. The IPython project pledged to not support Python 2 beyond 2020 [9] by being one of the first projects to join the Python 3 Statement, the 6.x series is only compatible with Python 3 and above. It is still possible though to run an IPython kernel and a ...
Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS. [1]