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Beschreibung
This book is written for programmers, software developers, managers, data analysts, researchers, teachers, students, professionals, and general consumers on how to solve real-life process problems and challenges through cutting-edge technologies, done by development and mastery of programming and data manipulation skills in Python. These days, “Computer Intelligence,” which refers to the ability of a computer to learn a specific task from data or experimental observation, has become a field and technique that can be used to critically analyze data (quantitative and qualitative information) derived from the various processes of different organizations. This can be used to facilitate decision-making by applying ground-breaking and cutting-edge technological tools such as mathematical reasoning, programming techniques, and statistical methods. This book covers the design of programming logic for the understanding of information flows, while building databases to solve various process and organizational problems through the combination of Computer programming and Process modelling techniques. It describes the specific design processes, flowchart, and algorithms that model real-life situations and translate them into technological applications that improve and innovate everyday processes. The main topics covered include the analysis of information flows, designs processes, and algorithms that model real-world process and situations, import and export of data from one platform to another, and the analysis and manipulation of data to support decision-making and digital transformation, in general. For all intents and purposes, this book serves as both textbook and guideline for Python users particularly for solving everyday process or problems. Resourcefully, encompassing different examples of everyday process and case studies, the envisioned subcompetencies and mastery level skills aimed to be developed by the readers and audience of this book using Python include: • Computational resolution of simulated real processes using different examples and case studies • Flow chart modeling and IPO (input, process, output) diagrams • Code optimization and proper program execution • Information flow in simulated process management • Search and analysis tools, e.g., descriptive statistics • Programming-based real-life solutions and decision making • Modelling of real situations and professional activities through algorithmic reasoning, data manipulations, and visualizations that can be applied to any typical real-life process management.
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Technische Daten


Erscheinungsdatum
25.08.2026
Sprache
Englisch
EAN
9789819220090
Herausgeber
Springer Singapore
Sonderedition
Nein
Autor
Kingsley Okoye, María Imelda Valdéz Salazar, Samira Hosseini
Seitenanzahl
504
Einbandart
Broschiert
Einbandart Details
Trade Paperback (US)
Buch Untertitel
Fundamentals for Data Analytics and Real Process Management
Schlagwörter
Algorithms and Flow charts, Pseudo codes, Hierarchy of operators, Logical operators, Functions in Python, Nested statements in Python, Matplotlib Library, Data extraction, Charts in Python, Manipulation in Python
Thema-Inhalt
UMX - Programmier- und Skriptsprachen, allgemein UYQ - Künstliche Intelligenz UN - Datenbanken UYA - Theoretische Informatik
Höhe
235 mm
Breite
15.5 cm

Transparenz & Sicherheit

Hersteller: Springer Nature Singapore, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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