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QuantConnect supports coding in Python and C#, but also supports other languages through its open-source project, the Lean Algorithmic Trading Engine (LEAN). [8] [9] [10] LEAN is an open-source algorithmic trading engine that allows users to do the same algorithm design, backtesting, and trading that they can do on the website. Once users code ...
Lean was launched by Leonardo de Moura at Microsoft Research in 2013. [3] The initial versions of the language, later known as Lean 1 and 2, were experimental and contained features such as support for homotopy type theory – based foundations that were later dropped. Lean 3 (first released Jan 20, 2017) was the first moderately stable version ...
The Rosetta Code site is organized as a browsable cross-section of tasks (specific programming problems or considerations) and computer programming languages. [2] A task's page displays visitor-contributed solutions in various computer languages, allowing a viewer to compare each language's approach to the task's stated problem.
Lean thinking, a business methodology adopted in various fields; Lean construction, an adaptation of lean manufacturing principles to the design and construction process; Lean government, application of lean thinking to government; Lean higher education, application of lean manufacturing principles in Higher Education
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 ...
Lean thinking has to be understood well by all members of a project, before implementing in a concrete, real-life situation. "Think big, act small, fail fast; learn rapidly" [ 8 ] – these slogans summarize the importance of understanding the field and the suitability of implementing lean principles along the whole software development process.
HEAAN (Homomorphic Encryption for Arithmetic of Approximate Numbers) is an open source homomorphic encryption (HE) library which implements an approximate HE scheme proposed by Cheon, Kim, Kim and Song (CKKS). [1]
An early successful application of the LLL algorithm was its use by Andrew Odlyzko and Herman te Riele in disproving Mertens conjecture. [5]The LLL algorithm has found numerous other applications in MIMO detection algorithms [6] and cryptanalysis of public-key encryption schemes: knapsack cryptosystems, RSA with particular settings, NTRUEncrypt, and so forth.