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The Zen of Python output in a terminal. The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [ 1] Python code that aligns with these principles is often referred to as "Pythonic". [ 2]
Jinja (template engine) Jinja is a web template engine for the Python programming language. It was created by Armin Ronacher and is licensed under a BSD License. Jinja is similar to the Django template engine but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language ...
GitHub Copilot is a code completion tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code. [ 1] Currently available by subscription to individual developers and to businesses, the generative artificial intelligence ...
Pythonis a high-level, general-purpose programming languagethat is popular in artificial intelligence.[1] It has a simple, flexible and easily readable syntax.[2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
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This is the TemplateData for this template used by TemplateWizard, VisualEditor and other tools. See a monthly parameter usage report for Template:AI-generated in articles based on its TemplateData. TemplateData for AI-generated. This tag is intended to identify articles that need extensive examination because they appear to have been generated ...
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [ 70] and metaobjects ). [ 71] Many other paradigms are supported via extensions, including design by ...
Business Intelligence - Generative BI. Generative BI [ 67] refers to the application of generative AI techniques, like Large Language Models (LLMs), in business intelligence. This combination accelerates the development of advanced models, automates data analysis, and facilitates the generation of actionable insights.