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  • Sách/Book


  • Authors: Jim Studio (2024)

  • This book takes the development of network message board as the main line to integrate the JavaWeb knowledge, complete knowledge modules, and gradually enable students to fully grasp the JavaWeb development technology through static web pages, dynamic web pages, system framework and project practice. Static web page article mainly explains HTML, CSS, DIV, JavaScript and other basic knowledge.

  • Sách/Book


  • Authors: Christian Ullenboom. (2024)

  • In this second volume, you will dive into the intricacies of Java Standard Libraries. You will continue to raise your coding skills, and test your Java knowledge on tricky programming tasks, with the help of the pirate Captain CiaoCiao

  • Sách/Book


  • Authors: David Báez-López (2024)

  • "Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool. The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book"

  • Sách/Book


  • Authors: Oswald Campesato (2024)

  • "This book contains an introduction to Java that culminates with a fast-paced view of ChatGPT, during which you can compare the differences and similarities between hand-crafted Java code with ChatGPT-generated Java code. The combination of Java and ChatGPT offers a multi-dimensional approach to problem-solving in program-ming"

  • Sách/Book


  • Authors: Amit K (2024)

  • This book contains proven strategies to learn Java programming in a short time.In this book, you’ll be able to easily understand each line of code with added explanations and comments for each code. Are you interested in learning the ins and outs of backend development? Have you learned the basics of the Java computer programming language and want to take your learning further? Then you’ve picked up the right guide.

  • Sách/Book


  • Authors: Ahmad Talha Siddiqui; Shoeb Ahad Siddiqui (2024)

  • Data Structures is a central module in the curriculum of almost every Computer Science programme. This bookexplains different concepts of data structures using C. The topics discuss the theoretical basis of data structures as well as their applied aspects

  • Sách/Book


  • Authors: Dmitry Vostokov (2024)

  • This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs.

  • Sách/Book


  • Authors: Ajit Singh (2021)

  • The book is self-contained and does not assume any prior knowledge of data structures, just a comprehension of basic programming and mathematics tools generally learned at the very beginning of computer science or other related studies. Through this book I hope that you will see the absolute necessity of understanding which data structure or algorithm to use for a certain scenario. In all projects, especially those that are concerned with performance (here we apply an even greater emphasis on real-time systems) the selection of the wrong data structure or algorithm can be the cause of a great deal of performance pain. The chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs,...

  • Sách/Book


  • Authors: Daniel Alpay (2024)

  • This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and probability theory in detail and demonstrates their applications in topics such as entropy, machine learning, error-correcting codes, and quantum channels. The theory of communication and signal theory are also in the background, and many exercises have been chosen from the theory of wavelets and machine learning. Exercises are selected from a number of different domains, both theoretical and more applied.