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Exploring applications and practical examples by streamlining Material Requirements Planning (MRP) with Python
Reis, João - In: Logistics 7 (2023) 4, pp. 1-19
study aims to address this gap by exploring the applications of Python in simplifying the MRP processes. Methods: This … article offers a twofold approach: firstly, it conducts research to uncover the potential applications of the Python code in … streamlining the MRP operations, and the practical examples serve as evidence of Python's efficacy in simplifying the MRP tasks …
Persistent link: https://www.econbiz.de/10014454703
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A Hands-on Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Askitas, Nikos - 2024
implementation in Python. The objective of this primer is to equip readers with a solid elementary comprehension of first principles …
Persistent link: https://www.econbiz.de/10014567597
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Micro-database for sustainability (ESG) indicators developed at the Banco de España (2022)
Fernández-Rosillo San Isidro, Borja; Koblents Lapteva, …
En los últimos años, la preocupación por los temas sociales y medioambientales ha ido en aumento y, en consecuencia, la demanda de datos sobre sostenibilidad se ha incrementado exponencialmente. Por esta razón, se ha desarrollado en el Departamento de Estadística del Banco de España una...
Persistent link: https://www.econbiz.de/10013523640
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DIETERpy: A Python framework for the Dispatch and Investment Evaluation Tool with Endogenous Renewables
Gaete-Morales, Carlos; Kittel, Martin; Roth, Alexander; … - In: SoftwareX 15 (2021)
General Algebraic Modeling System (GAMS), and enhances it with a Python framework. This combines the flexibility of Python …
Persistent link: https://www.econbiz.de/10012821490
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Mathematical finance with applications
Wong, Wing Keung (contributor); Guo, Xu (contributor);  … - 2020
Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance. Knowledge of mathematics, probability, and statistics is essential to develop finance theories and test their validity through the...
Persistent link: https://www.econbiz.de/10012606040
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Examination and modification of multi-factor model in explaining stock excess return with hybrid approach in empirical study of Chinese stock market
Huang, Jian; Liu, Huazhang - In: Journal of Risk and Financial Management 12 (2019) 2, pp. 1-30
simulation based on Python. Moreover, we conducted research on factor cyclical pattern via chi-square test and developed a …
Persistent link: https://www.econbiz.de/10012611107
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Inventory Analytics
Rossi, Roberto - 2021
control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating … theories and concepts via computational examples, with each model covered in the book accompanied by its Python code …
Persistent link: https://www.econbiz.de/10014280311
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Managing Generation Z: Motivation, Engagement and Loyalty
Nieżurawska-Zając, Joanna (contributor);  … - 2023
Generation Z (Gen Z) is the young generation born between the mid-1990s and 2010s. They are now entering the market and starting their first jobs. Therefore, managers must shape the company workplace environment to encourage young employees to work efficiently and connect their future with the...
Persistent link: https://www.econbiz.de/10014429252
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Urban street network analysis in a computational notebook
Boeing, Geoff - In: REGION 6 (2019) 3, pp. 39-51
and its tutorials repository. OSMnx is a Python package for working with OpenStreetMap data and modeling, analyzing, and …
Persistent link: https://www.econbiz.de/10012591451
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Derivatives pricing using QuantLib : an introduction
Varma, Jayanth Rama; Virmani, Vineet - 2015
Persistent link: https://www.econbiz.de/10010510021