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Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)

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This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment and enhancing the productivity of industries. The book describes how blockchain technology makes the industrial internet (Industry 4.0) a transparent, reliable and secure environment for people, processes, systems, and services, presenting a strong, technological and conceptual framework and roadmap for decision-makers involved in the transformation of any area of industry.

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Python for Finance: Mastering Data-Driven Finance
Python for Finance: Mastering Data-Driven Finance

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands on book helps you get started with the language, guiding developers and...

Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data
Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

Understand, explore, and effectively present data using the powerful data visualization techniques of Python

Key Features

  • Use the power of Pandas and Matplotlib to easily solve data mining issues
  • Understand the basics of statistics to build powerful predictive data...
An Invitation to Analytic Combinatorics: From One to Several Variables (Texts & Monographs in Symbolic Computation)
An Invitation to Analytic Combinatorics: From One to Several Variables (Texts & Monographs in Symbolic Computation)

This book uses new mathematical tools to examine broad computability and complexity questions in enumerative combinatorics, with applications to other areas of mathematics, theoretical computer science, and physics. A focus on effective algorithms leads to the development of computer algebra software of use...


Data Analysis with Python: A Modern Approach
Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis...
Python Descriptors: Understanding and Using the Descriptor Protocol
Python Descriptors: Understanding and Using the Descriptor Protocol
Create descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you’ll explore descriptors in general, with a deep explanation of what descriptors are, how they work, and how they're used. Once you understand the simplicity of the descriptor protocol, the author delves into...
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python
Mastering Python Scripting for System Administrators: Write scripts and automate them for real-world administration tasks using Python

Leverage the features and libraries of Python to administrate your environment efficiently.

Key Features

  • Learn how to solve problems of system administrators and automate routine activities
  • Learn to handle regular expressions, network administration
  • ...
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