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Impact of capital structure on corporate growth : empirical evidence Chinese growth enterprise market based on data mining and text analysis

Ai, Wenhao; Hu, Chengchen - In: Internet finance and digital economy : advances in …, (pp. 201-213). 2024

Persistent link: https://www.econbiz.de/10014533761

Risk analysis of stock price indexes of Belt and Road countries : an empirical study based on the GARCH-VaR model

Chen, Yifan; Wu, Zhenyu - In: Internet finance and digital economy : advances in …, (pp. 317-328). 2024

Persistent link: https://www.econbiz.de/10014534115

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

Accelerating Geospatial Modeling in ArcGIS with Graphical Processor Units

Tischler, Michael A. - In: International Journal of Applied Geospatial Research (IJAGR) 7 (2016) 4, pp. 41-52

-core processing or utilization of graphic processor units (GPUs). However, the ArcPy Python library included in ArcGIS 10 provides …

Persistent link: https://www.econbiz.de/10012042817

Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

Singh, Pushpa; Agrawal, Rajeev - In: International Journal of Open Source Software and … 9 (2018) 3, pp. 1-14

heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine … Python defines the type of user category in real time to predict the available users in a particular category for maximizing …

Persistent link: https://www.econbiz.de/10012046995

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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

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

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

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

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