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P&A Top 100: Book Bestsellers
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Introduction to Algorithms, third edition
The book covers a broad range of algorithmic topics, including sorting and searching algorithms, graph algorithms, dynamic programming, and computational geometry.
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Introduction to Data Structure and Algorithms
This book aim to provide a practical and modern approach to data structures and algorithms that will be useful for computer science students and professionals alike.
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Data Structures and Algorithms Made Easy
This book presents different data structures and algorithms, including sorting, searching, graph algorithms, and dynamic programming, along with their implementation using a variety of programming languages. This book is suitable for beginners and advanced learners alike.
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The Algorithm Design Manual
A practical and intuitive guide to algorithm design and analysis, with real-world examples and practical tips for problem-solving.
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Algorithms, 4th Edition
A modern and practical introduction to algorithms and data structures, with Java implementations and real-world examples.
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Looking for what book to read next? Explore the Plus Academy Top 100 Best Sellers list to discover all the current top books. Browse a large variety of books on topics you love or the best new books to discover! Whether you're interested in what fields, discover top books to read and recommended books from the book experts at P&A. You can also check out our list of the best books of 2023!
15 Best CS Books to Read in 2023
- Designing Data-Intensive Applications by Martin Kleppmann
- Algorithms of the Intelligent Web by Haralambos Marmanis and Dmitry Babenko
- Computer Networking: A Top-Down Approach by James F. Kurose and Keith W. Ross
- Operating System Concepts by Abraham Silberschatz, Greg Gagne, and Peter B. Galvin
- Clean Code: A Handbook of Agile Software Craftsmanship by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- The Elements of Computing Systems: Building a Modern Computer from First Principles by Robert C. Martin
- Computer Architecture: A Quantitative Approach by Noam Nisan and Shimon Schocken
- Introduction to Algorithms by John L. Hennessy and David A. Patterson
- Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
- Cracking the Coding Interview: 189 Programming Questions and Solutionsby Gayle Laakmann McDowell
- Programming Language Pragmatics by Michael L. Scott
- Code Complete: A Practical Handbook of Software Construction by Steve McConnell
- Database Systems: The Complete Book by Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
- Computer Science Distilled: Learn the Art of Solving Computational Problems by Wladston Ferreira Filho and Raimondo Pictet
- The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win by Gene Kim, Kevin Behr, and George Spafford
Designing Data-Intensive Applications
This book covers various aspects of system design, including storage systems, distributed systems, and stream processing.
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Scalability Rules: 50 Principles for Scaling Web Sites
This book covers the principles of scalability and provides guidelines for designing and building scalable web applications.
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Building Microservices
This book covers the principles of microservices architecture, including designing, developing, and deploying microservices.
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Release It!: Design and Deploy Production-Ready Software
This book covers the principles of designing and deploying production-ready software, including handling failures, monitoring, and debugging.
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Domain-Driven Design: Tackling Complexity in the Heart of Software
This book covers the principles of domain-driven design, including identifying and modeling business domains.
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Looking for what book to read next? Explore the Plus Academy Top 100 Best Sellers list to discover all the current top books. Browse a large variety of books on topics you love or the best new books to discover! Whether you're interested in what fields, discover top books to read and recommended books from the book experts at P&A. You can also check out our list of the best books of 2023!
15 Best CS Books to Read in 2023
- Designing Data-Intensive Applicationsby Martin Kleppmann
- Algorithms of the Intelligent Webby Haralambos Marmanis and Dmitry Babenko
- Computer Networking: A Top-Down Approachby James F. Kurose and Keith W. Ross
- Operating System Conceptsby Abraham Silberschatz, Greg Gagne, and Peter B. Galvin
- Clean Code: A Handbook of Agile Software Craftsmanshipby Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- The Elements of Computing Systems: Building a Modern Computer from First Principlesby Robert C. Martin
- Computer Architecture: A Quantitative Approachby Noam Nisan and Shimon Schocken
- Introduction to Algorithmsby John L. Hennessy and David A. Patterson
- Artificial Intelligence: A Modern Approachby Stuart Russell and Peter Norvig
- Cracking the Coding Interview: 189 Programming Questions and Solutionsby Gayle Laakmann McDowell
- Programming Language Pragmaticsby Michael L. Scott
- Code Complete: A Practical Handbook of Software Constructionby Steve McConnell
- Database Systems: The Complete Bookby Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
- Computer Science Distilled: Learn the Art of Solving Computational Problemsby Wladston Ferreira Filho and Raimondo Pictet
- The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Winby Gene Kim, Kevin Behr, and George Spafford
Artificial Intelligence: A Modern Approach
This book is a comprehensive introduction to the principles of AI, covering topics such as problem-solving, knowledge representation, and learning.
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Deep Learning
This book provides a detailed introduction to deep learning, including topics such as convolutional neural networks, recurrent neural networks, and generative models.
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
This book provides a practical introduction to machine learning, including topics such as regression, classification, clustering, and neural networks.
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Python Machine Learning
This book provides a hands-on introduction to machine learning using Python, covering topics such as classification, clustering, and deep learning.
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Reinforcement Learning: An Introduction
This book provides an introduction to reinforcement learning, including topics such as value-based methods, policy-based methods, and deep reinforcement learning.
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Looking for what book to read next? Explore the Plus Academy Top 100 Best Sellers list to discover all the current top books. Browse a large variety of books on topics you love or the best new books to discover! Whether you're interested in what fields, discover top books to read and recommended books from the book experts at P&A. You can also check out our list of the best books of 2023!
15 Best CS Books to Read in 2023
- Designing Data-Intensive Applicationsby Martin Kleppmann
- Algorithms of the Intelligent Webby Haralambos Marmanis and Dmitry Babenko
- Computer Networking: A Top-Down Approachby James F. Kurose and Keith W. Ross
- Operating System Conceptsby Abraham Silberschatz, Greg Gagne, and Peter B. Galvin
- Clean Code: A Handbook of Agile Software Craftsmanshipby Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- The Elements of Computing Systems: Building a Modern Computer from First Principlesby Robert C. Martin
- Computer Architecture: A Quantitative Approachby Noam Nisan and Shimon Schocken
- Introduction to Algorithmsby John L. Hennessy and David A. Patterson
- Artificial Intelligence: A Modern Approachby Stuart Russell and Peter Norvig
- Cracking the Coding Interview: 189 Programming Questions and Solutionsby Gayle Laakmann McDowell
- Programming Language Pragmaticsby Michael L. Scott
- Code Complete: A Practical Handbook of Software Constructionby Steve McConnell
- Database Systems: The Complete Bookby Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
- Computer Science Distilled: Learn the Art of Solving Computational Problemsby Wladston Ferreira Filho and Raimondo Pictet
- The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Winby Gene Kim, Kevin Behr, and George Spafford
Python for Data Analysis
This book teaches data analysis using the Python programming language, covering topics such as data manipulation, data cleaning, and data visualization.
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Data Science from Scratch
This book provides an introduction to data science from the ground up, covering topics such as probability, statistics, and machine learning.
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Data Science for Business
This book provides a practical guide to using data science in business, covering topics such as data mining, predictive modeling, and decision-making.
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The Elements of Statistical Learning
This book provides a comprehensive introduction to statistical learning, covering topics such as linear regression, classification, and clustering.
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Data Smart: Using Data Science to Transform Information into Insight
This book provides a practical guide to using data science to solve real-world problems, covering topics such as data exploration, regression, and decision trees.
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Looking for what book to read next? Explore the Plus Academy Top 100 Best Sellers list to discover all the current top books. Browse a large variety of books on topics you love or the best new books to discover! Whether you're interested in what fields, discover top books to read and recommended books from the book experts at P&A. You can also check out our list of the best books of 2023!
15 Best CS Books to Read in 2023
- Designing Data-Intensive Applicationsby Martin Kleppmann
- Algorithms of the Intelligent Webby Haralambos Marmanis and Dmitry Babenko
- Computer Networking: A Top-Down Approachby James F. Kurose and Keith W. Ross
- Operating System Conceptsby Abraham Silberschatz, Greg Gagne, and Peter B. Galvin
- Clean Code: A Handbook of Agile Software Craftsmanshipby Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- The Elements of Computing Systems: Building a Modern Computer from First Principlesby Robert C. Martin
- Computer Architecture: A Quantitative Approachby Noam Nisan and Shimon Schocken
- Introduction to Algorithmsby John L. Hennessy and David A. Patterson
- Artificial Intelligence: A Modern Approachby Stuart Russell and Peter Norvig
- Cracking the Coding Interview: 189 Programming Questions and Solutionsby Gayle Laakmann McDowell
- Programming Language Pragmaticsby Michael L. Scott
- Code Complete: A Practical Handbook of Software Constructionby Steve McConnell
- Database Systems: The Complete Bookby Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
- Computer Science Distilled: Learn the Art of Solving Computational Problemsby Wladston Ferreira Filho and Raimondo Pictet
- The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Winby Gene Kim, Kevin Behr, and George Spafford
Eloquent JavaScript: A Modern Introduction to Programming
This book teaches JavaScript programming, covering topics such as data structures, algorithms, and functional programming.
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Learning PHP, MySQL & JavaScript: With jQuery, CSS & HTML5
This book teaches PHP, MySQL, and JavaScript, covering topics such as database design, server-side scripting, and client-side scripting.
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Web Development and Design Foundations with HTML5
This book provides a broad introduction to web development, covering topics such as web design principles, HTML5, and CSS3.
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Designing Web Interfaces: Principles and Patterns for Rich Interactions
This book focuses on web design principles and user interface patterns, covering topics such as navigation, layout, and user experience design.
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Don't Make Me Think: A Common Sense Approach to Web Usability
This book provides a practical guide to web usability, covering topics such as navigation design, page layout, and user testing.
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Looking for what book to read next? Explore the Plus Academy Top 100 Best Sellers list to discover all the current top books. Browse a large variety of books on topics you love or the best new books to discover! Whether you're interested in what fields, discover top books to read and recommended books from the book experts at P&A. You can also check out our list of the best books of 2023!
15 Best CS Books to Read in 2023
- Designing Data-Intensive Applicationsby Martin Kleppmann
- Algorithms of the Intelligent Webby Haralambos Marmanis and Dmitry Babenko
- Computer Networking: A Top-Down Approachby James F. Kurose and Keith W. Ross
- Operating System Conceptsby Abraham Silberschatz, Greg Gagne, and Peter B. Galvin
- Clean Code: A Handbook of Agile Software Craftsmanshipby Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- The Elements of Computing Systems: Building a Modern Computer from First Principlesby Robert C. Martin
- Computer Architecture: A Quantitative Approachby Noam Nisan and Shimon Schocken
- Introduction to Algorithmsby John L. Hennessy and David A. Patterson
- Artificial Intelligence: A Modern Approachby Stuart Russell and Peter Norvig
- Cracking the Coding Interview: 189 Programming Questions and Solutionsby Gayle Laakmann McDowell
- Programming Language Pragmaticsby Michael L. Scott
- Code Complete: A Practical Handbook of Software Constructionby Steve McConnell
- Database Systems: The Complete Bookby Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
- Computer Science Distilled: Learn the Art of Solving Computational Problemsby Wladston Ferreira Filho and Raimondo Pictet
- The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Winby Gene Kim, Kevin Behr, and George Spafford
Code Complete
A comprehensive guide to software development that covers everything from coding practices to project management.
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The Pragmatic Programmer
A collection of tips and tricks for becoming a more efficient and effective software developer.
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Design Patterns: Elements of Reusable Object-Oriented Software
A classic book that presents common software design patterns and their application in object-oriented programming.
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The Mythical Man-Month
A classic book that discusses the challenges of managing large software development projects and how to address them.
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Refactoring: Improving the Design of Existing Code
A guide to improving code quality by refactoring existing code, covering techniques and best practices for identifying and fixing code smells.
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Looking for what book to read next? Explore the Plus Academy Top 100 Best Sellers list to discover all the current top books. Browse a large variety of books on topics you love or the best new books to discover! Whether you're interested in what fields, discover top books to read and recommended books from the book experts at P&A. You can also check out our list of the best books of 2023!
15 Best CS Books to Read in 2023
- Designing Data-Intensive Applicationsby Martin Kleppmann
- Algorithms of the Intelligent Webby Haralambos Marmanis and Dmitry Babenko
- Computer Networking: A Top-Down Approachby James F. Kurose and Keith W. Ross
- Operating System Conceptsby Abraham Silberschatz, Greg Gagne, and Peter B. Galvin
- Clean Code: A Handbook of Agile Software Craftsmanshipby Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
- The Elements of Computing Systems: Building a Modern Computer from First Principlesby Robert C. Martin
- Computer Architecture: A Quantitative Approachby Noam Nisan and Shimon Schocken
- Introduction to Algorithmsby John L. Hennessy and David A. Patterson
- Artificial Intelligence: A Modern Approachby Stuart Russell and Peter Norvig
- Cracking the Coding Interview: 189 Programming Questions and Solutionsby Gayle Laakmann McDowell
- Programming Language Pragmaticsby Michael L. Scott
- Code Complete: A Practical Handbook of Software Constructionby Steve McConnell
- Database Systems: The Complete Bookby Hector Garcia-Molina, Jeffrey D. Ullman, and Jennifer Widom
- Computer Science Distilled: Learn the Art of Solving Computational Problemsby Wladston Ferreira Filho and Raimondo Pictet
- The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Winby Gene Kim, Kevin Behr, and George Spafford