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Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
In computer programming, a collection is an abstract data type that is a grouping of items that can be used in a polymorphic way. Often, the items are of the same data type such as int or string . Sometimes the items derive from a common type; even deriving from the most general type of a programming language such as object or variant .
Python: Python is a versatile, high-level programming language used for a variety of purposes, including server-side web development. Frameworks like Django and Flask make it easy to build web applications in Python. Ruby: Ruby is an object-oriented programming language, and it is commonly used for web development.
Overview of the various programming paradigms according to Peter Van Roy [5]: 5 [6] Programming paradigms come from computer science research into existing practices of software development . The findings allow for describing and comparing programming practices and the languages used to code programs.
Python library SAMBO Optimization supports sequential optimization with arbitrary models, with tree-based models and Gaussian process models built in. [11] Surrogates.jl is a Julia packages which offers tools like random forests, radial basis methods and kriging.