Phu Xuan University Library

Digital library

Textbooks, references and open learning resources.

Programming for the Web - From Soup to Nuts - Implementing a Complete GIS Web Page

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Programming for the Web - From Soup to Nuts - Implementing a Complete GIS Web Page

Charles W. Kann III · Gettysburg College

In the contents: 5.07: A JavaScript Object Model that Includes Encapsulation and Data Hiding · 5.08: Unstructured Data

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The Missing Link - An Introduction to Web Development

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The Missing Link - An Introduction to Web Development

Michael Mendez · SUNY Fredonia

In the contents: 3.05: Data Storage · 3.06: Data Manipulation · 04: Persistent Data Storage

Computer ScienceEngineering 0 views
Neural Networks and Deep Learning

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Neural Networks and Deep Learning

Michael Nielson · Y Combinator Research

Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform. By contrast, in a neural network we don't tell the computer how to solve our problem. Instead, it learns from observational data, figuring out its own solution to the problem at hand.

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Introduction To MIPS Assembly Language Programming

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Introduction To MIPS Assembly Language Programming

Charles W. Kann III · Gettysburg College

In the contents: 06: MIPS Memory - the Data Segment · 6.02: Static Data

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Introduction to Programming with C++

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Introduction to Programming with C++

Jin He · Fresno City College

In the contents: 1.01: Introduction to Computer Science · 4.01: Character Data Type and ACII Code · 4.02: String Data Type

CC BY-NC-SAEngineering 0 views
Introduction to Computer Science

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Introduction to Computer Science

OpenStax · LibreTexts

In the contents: 01: Introduction to Computer Science · 1.01: Computer Science · 1.02: Computer Science across the Disciplines

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An Introduction to Ontology Engineering

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An Introduction to Ontology Engineering

Maria Keet · University of Cape Town

In the contents: 8.01: Relational Databases and Related legacy KR · 09: Ontology-Based Data Access

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Geographic Information Systems and Cartography

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Geographic Information Systems and Cartography

Adam Dastrup · Salt Lake Community College

In the contents: 1.02: Geographic Science · 03: Spatial and Nonspatial Data · 3.02: Data and Information

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Java, Java, Java - Object-Oriented Programming

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Java, Java, Java - Object-Oriented Programming

Ralph Morelli & Ralph Wade · Trinity College

In the contents: 05: Java Data and Operators · 5.02: Boolean Data and Operators · 5.03: Numeric Data and Operators

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Principles of Computer System Design

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Principles of Computer System Design

Jerome H. Saltzer & M. Frans Kaashoek · Massachusetts Institute of Technology

In the contents: 2.06: Applying Redundancy to Software and Data

CC BY-NC-SAComputer ScienceEngineering 0 views
x86-64 Assembly Language Programming with Ubuntu

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x86-64 Assembly Language Programming with Ubuntu

Ed Jorgensen · University of Navada, Las Vegas

In the contents: 2.02: Data Storage Sizes · 03: Data Representation · 4.04: Data Section

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Python for Everybody

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Python for Everybody

Chuck Severance · University of Michigan

In the contents: 11.03: Extracting data using regular expressions · 15: Using Databases and SQL · 15.0G: 15.G: Using Databases and SQL (Glossary)

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An Introduction to Computer Networks

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An Introduction to Computer Networks

Peter Lars Dordal · Loyola University of Chicago

In the contents: 1.02: Data Rate Throughput and Bandwidth · 1.04: Datagram Forwarding

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Python Programming

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Python Programming

OpenStax · LibreTexts

In the contents: 2.03: Mixed Data Types · 15: Data Science · 15.01: Introduction to Data Science

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Introduction to Programming using Fortran 95/2003/2008

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Introduction to Programming using Fortran 95/2003/2008

Ed Jorgensen · University of Navada, Las Vegas

In the contents: 4.02: Data Types · 16: Derived Data Types · 16.05: Arrays of Derived Data

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Think Python - How to Think Like a Computer Scientist (Downey)

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Think Python - How to Think Like a Computer Scientist (Downey)

Allen B. Downey · Olin College

In the contents: 04: Case Study- Data Structure Selection · 4.09: Data Structures · 5.06: Databases

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Think Python 2ed.

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Think Python 2ed.

Allen B. Downey · Olin College

In the contents: 13: Case study - data structure selection · 13.09: Data structures · 14.06: Databases

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Think Complexity: Exploring Complexity Science with Python

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Think Complexity: Exploring Complexity Science with Python

Allen B. Downey · Olin College

In the contents: 01: Complexity Science · 1.01: The changing criteria of science · 4.01: Social network data

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Structure and Interpretation of Computer Programs

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Structure and Interpretation of Computer Programs

Harold Abelson, Gerald Sussman & Julie Sussman · Massachusetts Institute of Technology

In the contents: 02: Building Abstractions with Data

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Data and programming- an overview

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Data and programming- an overview

Julio Terán · North Carolina State University

In the contents: 01: What Are Data and Data Science · 1.02: What Is Data Science · 1.03: Data Science in Practice

CC BY-NDEngineering 0 views