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IMSL Python Numerical Library (PyNL) 提供數(shù)學(xué)和統(tǒng)計(jì)功能，用于在 Python 中構(gòu)建各種應(yīng)用程序。PyNL建立在 IMSL C Numerical Library之上，為 Python 環(huán)境帶來(lái)了 40 多年的數(shù)值知識(shí)、嚴(yán)格的測(cè)試和本機(jī)性能。
IMSL Python Library具有用于各種應(yīng)用的可嵌入數(shù)學(xué)和統(tǒng)計(jì)算法，包括：飛機(jī)飛行動(dòng)力學(xué)建模、天氣預(yù)報(bào)、人類基因組的創(chuàng)新研究、股票市場(chǎng)行為預(yù)測(cè)和投資組合優(yōu)化。
PyNL 是針對(duì)各種開(kāi)發(fā)環(huán)境的一系列數(shù)值庫(kù)中的一員。PyNL 專門針對(duì) Python (CPython) 的 C 實(shí)現(xiàn)。對(duì)于 Cython 項(xiàng)目，建議使用IMSL Library for C。對(duì)于 Jython，我們建議使用IMSL Library for Java。
IMSL Python Library特點(diǎn)
IMSL Library，包括 IMSL Python Library，被認(rèn)為是當(dāng)今的主流編程環(huán)境中可用于數(shù)值分析的復(fù)雜、靈活、可擴(kuò)展和高度可訪問(wèn)的技術(shù)。
可訪問(wèn)、直觀、一致
IMSL Python Library具有描述性和一致的函數(shù)名稱，對(duì)于開(kāi)發(fā)人員和數(shù)據(jù)科學(xué)家來(lái)說(shuō)都是可訪問(wèn)且直觀的。
降低開(kāi)發(fā)成本
使用經(jīng)過(guò)驗(yàn)證的 IMSL 算法和功能，在設(shè)計(jì)、開(kāi)發(fā)、文檔編制、測(cè)試和維護(hù)方面節(jié)省時(shí)間和金錢。
高性能和可擴(kuò)展
IMSL Python Library支持多線程進(jìn)程和經(jīng)過(guò)全面測(cè)試的函數(shù)和算法，已為高性能做好準(zhǔn)備。
清除診斷錯(cuò)誤消息
通過(guò)提供信息豐富且清晰的錯(cuò)誤消息，開(kāi)發(fā)人員可以快速著手解決問(wèn)題，而不需要浪費(fèi)時(shí)間找問(wèn)題。
【英文介紹】
The IMSL Python Numerical Library (PyNL) provides mathematical and statistical functionality for building advanced a wide range of applications in Python. Built on the IMSL C Numerical Library, PyNL brings over 40 years of numerical expertise, rigorous testing, and native performance to the Python environment.
The IMSL Python Library features advanced embeddable mathematical and statistical algorithms used across a wide variety of applications, including: modeling airplane flight dynamics, weather prediction, innovative study of the human genome, stock market behavior forecasts, and investment portfolio optimization.
The IMSL Library for Python is a library of Python functions useful for programming in a wide range of applications ranging from scientific, to engineering, to business.
IMSL Python Library Key Features
The IMSL Libraries, including the IMSL Python Library, are regarded as the most sophisticated, flexible, scalable and highly accessible technology available for numerical analysis in the most important mainstream programming environments in use today.
Accessible, Intuitive, Consistent
With descriptive and consistent function names, the IMSL Python Library is accessible and intuitive for developers and data scientists alike.
Reduce Development Costs
Save time and money on design, development, documentation, testing, and maintenance with proven IMSL algorithms and functions.
Performant and Scalable
With support for multi-thread processes and thoroughly tested functions and algorithms, the IMSL Python Library is high performance ready.
Clear Diagnostic Error Messaging
With informative and clear error messaging, developers can quickly get to work on fixing the issue instead of trying to find it.
