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Pro Git: Everything You Need to Know About Git (French) - Version 2.1.359-2-g27002dd
Copyright Year: 2014
Contributors: Chacon and Straub
Publisher: Apress
License: CC BY-NC-SA
The entire Pro Git book, written by Scott Chacon and Ben Straub and published by Apress, is available here. All content is licensed under the Creative Commons Attribution Non Commercial Share Alike 3.0 license. Print versions of the book are available on Amazon.com.
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Pro Git: Everything You Need to Know About Git (Español) - Version 2.1.359-2-g27002dd
Copyright Year: 2014
Contributors: Chacon and Straub
Publisher: Apress
License: CC BY-NC-SA
The entire Pro Git book, written by Scott Chacon and Ben Straub and published by Apress, is available here. All content is licensed under the Creative Commons Attribution Non Commercial Share Alike 3.0 license. Print versions of the book are available on Amazon.com.
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Pro Git: Everything You Need to Know About Git (Bulgarian) - Version 2.1.58-28-g132fc121,
Copyright Year: 2014
Contributors: Chacon and Straub
Publisher: Apress
License: CC BY-NC-SA
The entire Pro Git book, written by Scott Chacon and Ben Straub and published by Apress, is available here. All content is licensed under the Creative Commons Attribution Non Commercial Share Alike 3.0 license. Print versions of the book are available on Amazon.com.
No ratings
(0 reviews)
Pro Git: Everything You Need to Know About Git (English) - Version 2.1.359-2-g27002dd
Copyright Year: 2022
Contributors: Chacon and Straub
Publisher: Apress
License: CC BY-NC-SA
The entire Pro Git book, written by Scott Chacon and Ben Straub and published by Apress, is available here. All content is licensed under the Creative Commons Attribution Non Commercial Share Alike 3.0 license. Print versions of the book are available on Amazon.com.
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Computer Systems Security: Planning for Success
Contributor: Tolboom
Publisher: Ryan Tolboom
License: CC BY-NC-SA
The text, labs, and review questions in this book are designed as an introduction to the applied topic of computer security. With these resources students will learn ways of preventing, identifying, understanding, and recovering from attacks against computer systems. This text also presents the evolution of computer security, the main threats, attacks and mechanisms, applied computer operation and security protocols, main data transmission and storage protection methods, cryptography, network systems availability, recovery, and business continuation procedures.
(1 review)
Technology in Schools
Copyright Year: 2022
Contributor: Ackerman
Publisher: hackscience.education
License: CC BY-NC
My purpose in writing this book is to give readers a view into the work of managing information technology in schools. IT professionals will notice differences (some nuanced and some significant) between the needs and expectations of IT users in business and IT in school. With the more complete and more accurate concept the nature of the computing environment necessary for successful schooling, which I intend to provide through this book, IT professionals will be better prepared to meet those needs. Educators will also benefit from this book by clarifying the nature of their IT needs and how these may be different from those that are familiar to IT professionals who are hired to work in your school.
(1 review)
Building Information - Representation and Management: Principles and Foundations for the Digital Era
Copyright Year: 2022
Contributor: Koutamanis
Publisher: TU Delft Open
License: CC BY-NC-SA
The book presents a coherent theory of building information, focusing on its representation and management in the digital era. It addresses issues such as the information explosion and the structure of analogue building representations to propose a parsimonious approach to the deployment and utilization of symbolic digital technologies like BIM. It also considers the matching representation of AECO processes in terms of tasks, so as to connect to information processing and support both information management and decision taking.
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Inventory Analytics
Copyright Year: 2021
Contributor: Rossi
Publisher: Roberto Rossi
License: CC BY
Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control.
(2 reviews)
A Person-Centered Guide to Demystifying Technology: Working together to observe, question, design, prototype, and implement/reject technology in support of people's valued beings and doings
Copyright Year: 2020
Contributor: Wolske
Publisher: Windsor & Downs Press
License: CC BY-SA
Digital technologies old and new are not objects that can be packed inside a box. They are a seamless, indivisible combination of people, organizations, policies, economies, histories, cultures, knowledge, and material things that are continuously shaped and reshaped. Every one of us innovates-in-use our everyday technologies, we just do not always know it. Not only are we shaped by the networked information tools in our midst, but we shape them and thereby shape others. For us to advance individual agency across diverse community knowledge and cultural wealth within the fabric of communities, we need to nurture our cognitive, socio-emotional, information, and progressive community engagement skills along with, and sometimes in advance of, our technical skills which then serve as just-in-time in-fill learning. This is the call placed by Rev. Dr. Martin Luther King, Jr. – to rapidly shift from a ‘thing-oriented’ society to a ‘person-oriented’ society.
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The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science
Copyright Year: 2020
Contributor: Davies
Publisher: University of Mary Washington
License: CC BY-SA
A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.
(2 reviews)