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In computer science, syntactic sugar is syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use: things can be expressed more clearly, more concisely, or in an alternative style that some may prefer.
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:
This can simplify the definition of some functions. For example, writing a function to output the first n square numbers in Racket can be done accordingly: ( define ( first-n-squares n ) ( map ( lambda ( x ) ( * x x )) ;;; A function mapping x -> x^2 ( range n ))) ;;; List of the first n non-negative integers
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 the worst case, i = 1 or i = n − 2 at each recursive invocation yields a running time of O(n 2). In the best case, i = n / 2 or i = n ± 1 / 2 at each recursive invocation yields a running time of O(n log n). Using (fully or semi-) dynamic convex hull data structures, the simplification performed by the algorithm can be ...
Starbucks Workers United said Tuesday that 98% of union baristas have voted to authorize a strike as they seek a contract with the coffee giant.. Bargaining delegates are set to return to ...
Nicole Eggert made a surprising revelation about her days starring in the iconic TV series "Baywatch.". For over a decade, fans around the world tuned in to watch the show's team of red swimsuit ...
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.