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Appel (2011) Modern Compiler Implementation in Java. Second Edition by Andrew W. Appel (0101) An Introduction to Formal Language Theory that Integrates Experimentation and Proof by STOUGHTON (2005) Intro to functional programming through Lambda calculus (1989) by Greg Michaelson (1989) Linear Algebra and Its Applications, Global Edition, 6ed by David C. Lay (2021) Linear Algebra and Its Applications, 5ed - Solution manual by David C. Lay (2020) Computational Complexity: A Conceptual Perspective by Oded Goldreich (2008) A primer on pseudorandom generators by Oded Goldreich (2010) Computability and complexity from a programming perspective by Neil Jones (2022) The complexity of boolean functions by Ingo Wegner (2006) Automata And Computability by Dexter Kozen (1997) Introduction to the theory of computation. Solution manual by Michael Sipser (2012) Introduction to the Theory of Computation (3rd ed) by Michael Sipser (2012) Introduction To The Theory Of Computation (2nd ed) by Michael Sipser (2006) An introduction to the mathematics of money by David Lovelock (2007) Introduction to The design and Analysis of Algorithms (3rd ed.). Solutions manual by Anany Levitin (2011) Kolmogorov Complexity and Computational Complexity by Osamu Watanabe (1992) The Universal history of computing, from abascus to quantum computer by Georges Ifrah (2000) Theory of Computing. 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Almasoud (2020) Algorithms for Interviews by Adnan Aziz (2011) Understanding phishing techniques by Administrator (2023) Грокаем алгоритмы by Адитья Бхагаева (2017) Calculus.A complete course(7e) by Adams, Essex (2011) Calculus. A complete course (8ed) - solutions by Adams, Essex (2012) Adam Smith: The Wealth of Nations by Adam Smith (1998) Reactive Streams in Java Concurrency with RxJava, Reactor, and Akka Streams by Adam L. Davis (2018) The Perfect Bet: How Science and Math Are Taking the Luck Out of Gambling by Adam Kucharski (2016) Essential TypeScript by Adam Freeman (2019) JavaScript Everywhere by Adam D. Scott (2020) Building Event-Driven Microservices by Adam Bellemare (2020) Practical C++ Design From Programming to Architecture by Adam B. Singer (2017) From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence (Intelligent Systems Reference Library, 18) by Achim Zielesny (2011) Optimization in Practice with MATLAB®: For Engineering Students and Professionals by Achille Messac (2015) Handbook of solvents by George Wypich (2001) Encyclopedia of Food Sciences and Nutrition by Academic Press (2010) Forensic Analysis of Tor Browser: A Case Study for Privacy and Anonymity on the Web by Abid Khan Jadoon, Waseem Iqbal, Muhammad Faisal Amjad, Hammad Afzal, Yawar Abbas Bangash (2019) Machine Learning in the AWS Cloud by Abhishek Mishra (2019) Metasploit Penetration Testing Cookbook by Abhinav Singh (2012) Theory of Computation Lecture Notes by Abhijat Vichare (2006) Survey of Consensus Protocols by Abdul Wahab (2018) Principles of rooting by Sam Helebi (2001) Python Machine Learning for Beginners Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow by AI publishing (2021) The Internet and Its Protocols. 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Popov (2000) Раскрутка сайтов: Основы, секреты, трюки by А. Яковлев, В. Ткачев (2015) Designing hexagonal architecture with java by Davi Vieira (2023) Cloud penetration testing for red teamers by Kim Crawley (2023) Cracking the Data Engineering Interview: Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio (2023) by Kadeisha Brayn Data science: The hard parts. Techniques for Execelling at Data Science by Daniel Vaughan (2023, O'Reilly) Deep dive into power automate. Learn by Example. By Goloknath Mishra (2023) Fast API: Modern Python Web Development by Bill Lubanovic (2023) Frontend development with Javafx and Kotlin by Peter Späth (2023) Information security handbook by Daaren Death (2023) Modern data architecture on Azure by Kapil Banzal (2023) R-packages: Organize, Test, Document, and Share Your Code by by Hadley Wickham and Jennifer Bryan (2023, O'Reilly) Thermodynamics. An engineering approach by Yunus A. 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An Introduction to Statistical Learning: With Applications in R by Gareth James (2013) Modern Compiler Implementation in C by Andrew W. Appel (2004) Compiling with Continuations by Andrew W. Appel (2023) Practical foundations for programming languages by Robert Harper (2018) Engineering a Compiler - 2nd Edition by K. Cooper (2012) Modern Compiler Implementation in ML by Andrew W. Appel (2011) Modern Compiler Implementation in Java. Second Edition by Andrew W. Appel (0101) An Introduction to Formal Language Theory that Integrates Experimentation and Proof by STOUGHTON (2005) Intro to functional programming through Lambda calculus (1989) by Greg Michaelson (1989) Computational Complexity: A Conceptual Perspective by Oded Goldreich (2008) A primer on pseudorandom generators by Oded Goldreich (2010) Computability and complexity from a programming perspective by Neil Jones (2022) Automata And Computability by Dexter Kozen (1997) Introduction to the theory of computation. Solution manual by Michael Sipser (2012) Kolmogorov Complexity and Computational Complexity by Osamu Watanabe (1992) The Universal history of computing, from abascus to quantum computer by Georges Ifrah (2000) Theory of Computing. A Gentle Introduction by Efim Kinber (2001) Algorithms for Interviews by Adnan Aziz (2011) Theory of Computation Lecture Notes by Abhijat Vichare (2006) Discrete Mathematics and Its Applications (5e) by Kenneth H. Rosen The nature of computation by Christopher Moore, Stephan Mertens
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Mathematics. Its Content, Methods and Meaning by A. D. Aleksandrov (1999)