
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
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Python Programming for Hackers and Reverse Engineers Post under Hacking/Hackers, Python, Software Reverse Engineering
Explain the concepts behind hacking tools and techniques like debuggers, trojans, fuzzers, and emulators, showing you how to harness existing Python-based security tools - and how to build your own when the pre-built ones won't cut it.
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Designing Digital Systems with SystemVerilog (Brent E. Nelson) Post under Electronics Circuit Design, Hardware Description Language (HDL)
This textbook is for beginners on digital logic and digital systems design. , providing both new learners as well as existing digital logic designers an introduction to the SystemVerilog language and its use for designing digital systems.
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Understanding Basic Calculus (S. K. Chung) Post under Calculus and Mathematical Analysis
This textbook is an introductory calculus presentation intended for future scientists and engineers. Be sure that you have had the appropriate background material of algebra and trigonometry.
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Crafting a Compiler with C (Charles N. Fischer, et al.) Post under Compiler/Interpreter Design and Construction
This extremely practical, hands-on approach to building compilers using the C programming includes numerous examples of working code from a real compiler and covers such advanced topics as code generation, optimization, and real-world parsing.
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Notes on Discrete Mathematics (James Aspnes) Post under Discrete and Finite Mathematics
Present a precise relevant comprehensive approach to mathematical concepts, this text was written to accommodate the needs across a variety of majors and departments including mathematics computer science and engineering.
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Fourier Analysis for Beginners (Larry N. Thibos) Post under Fourier Transforms and Wavelet
The essential mathematics required to understand and apply Fourier analysis is explained. The tutorial style of writing, combined with diagrams, offers a visually intuitive and rigorous account of Fourier methods.
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Basics of Linear Algebra for Machine Learning (Jason Brownlee) Post under Linear Algebra and >Machine Learning
The tight integration of linear algebra methods with examples from machine learning. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts.
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MATLAB Programming for Engineers (Stephen Chapman) Post under MATLAB Programming
You learn how to write clean, efficient and well-documented programs as you simultaneously gain an understanding of the many practical functions of MATLAB, and work with new MATLAB GUI (Graphical User Interface) Apps.
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C Traps and Pitfalls (Andrew Koenig) Post under The C Programming Language
This book teaches how the peculiarities of the C language make it easy for the intended behavior of a program and the actual behavior of a program to differ, follows up with examples and helpful advice on many of these "pitfalls".
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Automotive Embedded Systems Handbook (Nicolas Navet, et al.) Post under Embedded Systems
A Clear Outline of Current Methods for Designing and Implementing Automotive Systems. This book provides a comprehensive overview of existing and future automotive electronic systems.
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Verilog Digital System Design: Register Transfer Level Synthesis Post under Electronics Circuit Design and Programming
This rigorous text shows electronics designers and students how to deploy Verilog in sophisticated digital systems design, along with the many worked examples, new synthesis standards and coverage of the OVI verification library
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Digital Integrated Circuit Design: VLSI Architectures to CMOS Post under Electronics Circuit Design, VLSI
This practically oriented textbook covers the important aspects of VLSI design using a top-down approach, reflecting the way digital circuits are actually designed, using practical hints and tips, case studies and checklists.
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Genetic Algorithms with Python (Clinton Sheppard) Post under Algorithms, Optimization, and Python Programming
This book gives you experience making Genetic Algorithms (GAs) work for you, using easy-to-follow example projects that you can fall back upon when learning to use other machine learning tools and techniques.
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Digital Signal Processing with Python, Matlab or Octave Post under Digital Signal Processing (DSP), Python Programming, MATLAB Programming
This book aims to provide a comprehensive guide to digital signal processing, combining both theory and practical applications, focuses on practical implementation of digital signal processing algorithms using Python, Matlab or Octave programming languages.
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Making Embedded Systems: Design Patterns for Great Software Post under Embedded Systems
This easy-to-read guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming. You'll learn how to build system architecture for processors, not for operating systems, etc.
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Compressed Image File Formats: JPEG, PNG, GIF, XBM, BMP Post under Computer Graphics, 3D, Animation and Imaging
This comprehensive reference on the major graphics file formats and the compression technologies they employ is an indispensable resource for graphics programmers, especially those developing graphical applications for the Web.
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Internet File Formats: Your Complete Resource Post under Computer Graphics, 3D, Animation and Imaging
Explains the history and fundamental ideas behind major file formats, offers advice on how to know and when to use different formats, and suggests the best places on the Internet to find information and programs for working with different file types.
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Bare-Metal Programming for ARM: A Hands-on Guide Post under Embedded Systems Programming
The subject of this ebook is Bare Metal programming in C for an ARM system. This ebook is aimed at people who have an interest in low-level programming, and in seeing how to build a system from the ground up.
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Introduction to Machine Learning and Data Mining Post under Machine Learning, Data Mining
This book provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, demonstrated by the many new techniques and developments.
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Advanced Modern Algebra (Joseph J. Rotman) Post under Algebra, Abstract Algebra, and Modern Algebra on Sat Jan 27, 2024
More than merely a succession of definition-theorem-proofs, this text put results and ideas in context so that students can appreciate why a certain topic is being studied, and where definitions originate.
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Topology for the Working Mathematician (Michael Muger) Post under Topology and Geometry on Sat Jan 27, 2024
Topology is a branch of pure mathematics that deals with the abstract relationships found in geometry and analysis. Written with the mathematician, this book provides a user-friendly, clear, and concise introduction to this fascinating area of mathematics.
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Statistical Analysis of Networks (Konstantin Avrachenkov, et al.) Post under Computer Networks and Statistics on Sat Jan 27, 2024
This book is a general introduction to the statistical analysis of networks. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, etc.
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Proof and Proving in Mathematics Education (Gila Hanna, et al.) Post under Mathematics Education on Sat Jan 27, 2024
The book considers proof and proving as complex but foundational in mathematics. Through the systematic examination of recent research this volume offers new ideas aimed at enhancing the place of proof and proving in our classrooms.
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Simplicial and Dendroidal Homotopy Theory (Gijs Heuts, et al) Post under Category Theory, Topology, Geometry on Sat Jan 27, 2024
This open access book offers a self-contained introduction to the Homotopy Theory of simplicial and dendroidal sets and spaces. These are essential for the study of categories, operads, and algebraic structure up to coherent homotopy.
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Paul Lorenzen - Mathematician and Logician (G. Heinzmann, et al) Post under Mathematicians and History of Mathematics on Sat Jan 27, 2024
This open access book examines the many contributions of Paul Lorenzen, an outstanding philosopher from the latter half of the 20th century. It features papers focused on integrating Lorenzen's original approach into the history of logic and mathematics.
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