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The framework aims to alleviate the overhead associated with common activities used in web development. 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.
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.
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate , serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [ 4 ]
Dan Gookin is a computer book author who wrote the first ...For Dummies books including DOS for Dummies and PCs for Dummies, establishing the design and voice of the long-running series that followed, incorporating humor and jokes into a format for beginners on any subject. He also is a member of the Coeur d'Alene City Council.
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]
Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values. For example, if s is a Series, s['a'] will return the data point at index a. Unlike dictionary keys, index values are not guaranteed to be unique.
In software engineering, a pipeline consists of a chain of processing elements (processes, threads, coroutines, functions, etc.), arranged so that the output of each element is the input of the next. The concept is analogous to a physical pipeline .
Flow-based programming defines applications using the metaphor of a "data factory". It views an application not as a single, sequential process, which starts at a point in time, and then does one thing at a time until it is finished, but as a network of asynchronous processes communicating by means of streams of structured data chunks, called "information packets" (IPs).