Название: Roblox Game Development: From Zero To Proficiency (intermediate): A Step-by-Step Guide to Creating a Third-Person Shooter in Roblox Studio with Lua
Автор: Patrick Felicia
Издательство: LPF Publishing
Год: 2025
Страниц: 348
Язык: английский
Формат: pdf, epub
Размер: 11.9 MB

Master Roblox Development Faster. Are you ready to take your Roblox game development skills to the next level? Roblox Game Development: From Zero to Proficiency (Intermediate) is your step-by-step guide to mastering advanced gameplay mechanics, NPC behaviors, and combat systems in Roblox Studio. Whether you're looking to build engaging action games or expand your knowledge of Lua scripting, this book will equip you with the tools needed to create interactive and dynamic game experiences. Imagine developing intelligent NPCs that chase the player, designing a weapon system with ammunition and reloading mechanics, or implementing health packs that keep players alive in high-stakes battles. With hands-on projects, practical exercises, and clear explanations, this book helps you transform your ideas into fully functional Roblox games. This second book in the series is designed for learners who are ready to elevate their Roblox development skills by creating an exciting and dynamic third-person shooter game.

Название: Understanding Matlab: A Textbook for Beginners
Автор: Syed Nasimul Alam, Syed Samsul Alam
Издательство: I.K. International Pvt. Ltd./Dreamtech Press
Год: 2019
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

This book is mainly for students and professionals who are trying to learn MATLAB through self-study. This book can be used by anyone who is completely unacquainted with MATLAB. MATLAB is a high-level computing language which can be used in a large number of areas. The other advantage of MATLAB is the speed with which computation can be done. All these have made MATLAB very popular amongst users. In a step-by-step process, this book tries to teach the readers how to write MATLAB programs in order to solve problems. The book intends to acquaint the user with a number of inbuilt functions and features of MATLAB with specific illustrations in the areas of science and technology. MATLAB is a high level computing language, which can be used in a wide range of areas. A large number of examples have been included in this book. Plots, matrix calculations, vectors, loops, functions, solving linear equations, integration, differentiation, ordinary differential equations, curve fitting, image processing, animation and a lot of other areas have been dealt with in this book.

Название: Data Analytics using Python
Автор: Bharti Motwani
Издательство: Wiley
Год: 2020
Страниц: 760
Язык: английский
Формат: epub (true)
Размер: 92.5 MB

Data is the fuel of 21st century. The advanced technological development has brought a massive increase in the volume and spectrum of data by including text, image and video data. Data analytics using Python aims to make readers understand the applications of analytics in different domains with proper code and explanation. The book starts from basics of Python and gradually increases its level to Machine Learning. Significant focus has also been laid on Deep Learning and applications – neural network models like MLP, RNN and CNN; trained models for text and image data and development of chatbots. The goal of this book is to open the doors of opportunity related to different analytical techniques from a broader array of datasets. It is an attempt to provide a reservoir of updated knowledge on varied tools for academicians, consultants, research scholars, practitioner and students. Data analytics using Python will enable readers gain sufficient knowledge and experience to perform analysis using different tools and techniques available in numerous libraries according to different requirement of the user for different types of data. In order to provide a more meaningful and easier learning experience, this book has been written with more interesting and relevant real-life examples.

Название: Object-Oriented Analysis, Design and Implementation: An Integrated Approach 3rd Edition
Автор: Brahma Dathan, Sarnath Ramnath
Издательство: Springer/Universities Press
Серия: Undergraduate Topics in Computer Science
Год: 2025
Страниц: 486
Язык: английский
Формат: pdf (true), epub
Размер: 32.2 MB

This new edition demonstrates a modeling-based approach to object-oriented development. It is a significant and comprehensive revision of the book. While the central focus remains the same as in previous editions, the reader will notice substantial improvements in the presentation. Computer Science curricula have changed, a new version of Java has become available, new ideas about teaching and learning have been explored, changes have taken place in the way that object-oriented principles are put into practice, and we have got useful feedback from other instructors, and discovered ways of integrating new and relevant concepts into our case studies. The most important change of all, however, is what we have learned from our students through numerous iterations of our course. The third edition incorporates our response to all these changes, while maintaining the basic structure of using student project experiences. As university curricula and student experiences change, so too does the background of students entering this course.

Название: Mathematical Foundations of Computer Science (For II Year B.Tech. (I Semester) and I Year M.C.A. (I Semester) Students)
Автор: G. Shanker Rao
Издательство: I.K. International Pvt. Ltd./Dreamtech Press
Год: 2020
Страниц: 454
Язык: английский
Формат: pdf (true)
Размер: 11.8 MB

Mathematical Foundations of Computer Science explains the fundamental concepts in mathematics. It can be used by the students in Computer Science as an introduction to the underlying ideas of mathematics for Computer Science. It explains topics like mathematical logic, predicates, relations, functions, combinatorics, algebraic structures and graph theory. It would be useful for the students of B.Tech, BCA, & MCA. Key Comprehensive discussion on logic, function, algebraic systems, recurrence relations and graph theory Wide variety of exercises at all levels Several worked out examples.

Название: Machine Learning
Автор: Anuradha Srinivasaraghavan, Vincy Joseph
Издательство: Wiley
Год: 2019
Страниц: 328
Язык: английский
Формат: epub
Размер: 10.1 MB

Machine Learning (ML) belongs to a category of algorithms that allows for more accurate prediction without being explicitly programmed. It is similar to data mining and predictive modeling, especially where all three techniques require searching for patterns and adjusting program actions. Machine Learning algorithms are classified into supervised and unsupervised learning algorithms. In the case of supervised learning algo-rithms, data scientists have a set of training data through which they build the model. This book is for neophyte users who are getting acquainted to the concept of ML. This book is written keeping in mind the academic needs and requirements of undergraduate students. The language used in the book is simple and there are more than adequate examples. This book is an effort to deliver to the best of our abilities the concept of Machine Learning to beginners. It was a real challenge that was worth it at the end. Our first-time writing experience has been a wonderful journey, from the time we decided to write the book till its present form. It has really been a challenging experience to complete the latest updates about the subject, keeping in mind that we are catering to first-time readers. This book offers the readers the basics of Machine Learning in a very simple, user-friendly language. Chapters 3 and 4 elaborate on the basics of matrices and the basics of Python, which serve as the prerequisite for understanding Machine Learning.

Название: Deep Learning Using Python
Автор: S. Lovelyn Rose, L. Ashok Kumar, D. Karthika Renuka
Издательство: Wiley
Год: 2020
Страниц: 356
Язык: английский
Формат: epub
Размер: 16.4 MB

Deep Learning is an area that has garnered a lot of attention in recent past. It is a subdivision of Machine Learning. Machine Learning is a type of algorithm in which the user gives the input and expected output, and expects the machine to learn (find) the algorithm (model) to produce the desired (expected) output. This is in stark contrast to programming wherein we give the input and the algorithm produces the output. Machine Learning tasks take a set of data that is termed as dataset. The Machine Learning algorithm finds the patterns and inferences that can be made on the dataset. Learning the concepts of Deep Learning is not enough to handle real-time cases. Deep Learning Using Python aims at giving a hands-on experience on common Deep Learning applications using popular frameworks of the most suitable language, Python. There is no need for a reader to be a professional programmer. All the codes are simple and the exhaustive comments will help readers to understand of the available code. The readers will be able to solve AI problems using neural networks and Deep Learning architectures.

Название: Cracking The Java Interviews With Sumit: A good Interview Can Change Your Life
Автор: Sumit M
Издательство: Independently published
Год: Dec-2024 (Version 4)
Страниц: 343
Язык: английский
Формат: epub
Размер: 10.1 MB

A Java interview book written by Sumit and reviewed by several interview panels and senior Java developers in the industry. This book is not just a collection of questions and answers. It is a meticulously crafted resource that aims to provide deep insights into the nature of Java interviews. Sumit, with years of experience both as a candidate and as an interviewer, brings a unique perspective that bridges the gap between theoretical knowledge and practical application. His approach is holistic, covering not only the technical aspects of Java but also the mindset required to excel in an interview setting. Within these pages, you will find a blend of fundamental concepts, advanced topics, and real-world scenarios that are frequently encountered in interviews. Each chapter is structured to build your understanding progressively, ensuring that you are well-prepared for even the most challenging questions. In addition to the technical content, this book offers some valuable real interview reports. By fostering a deeper comprehension of Java and its applications, this book aims to equip you with the confidence and competence needed to stand out in any interview.

Название: Introducing Python: Modern Computing in Simple Packages, 3rd Edition (2nd Early Release)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2024-12-11
Страниц: 171
Язык: английский
Формат: epub
Размер: 10.1 MB

Stuck in a coding conundrum? Whether you're an advanced beginner, an intermediate developer, or a curious newcomer, the complexities of coding can often feel like a labyrinth with no exit. With Python, however, you can start writing real code quickly—but where should you start? In this updated third edition, Bill Lubanovic acts as your personal guide to Python, offering a clear path through the intricacies and capabilities of this much-beloved coding language, including new chapters on AI models and performance enhancements. Easy to understand and enjoyable to read, this book not only teaches you the core concepts but also dives into practical applications that bridge the gap between learning and doing. Although it helps if you’ve done some programming before, I want to make it possible for beginning programmers to get something out of this book. Python is an excellent first computing language, and you don’t need to read and understand all of this book to get started.

Название: Deep Learning with TensorFlow and Keras
Автор: Pratap Dangeti
Издательство: Wiley
Год: 2020
Страниц: 339
Язык: английский
Формат: epub
Размер: 11.8 MB

Truly a must have guide for every Data Science professional and deep learning enthusiast, the Wiley Deep Learning with Keras and TensorFlow brings together industry best practices, detailed code descriptions with simplified explanations and solved real life problems, to help any beginner to learn and master the techniques of Deep learning and coding in Keras and TensorFlow. TensorFlow has been chosen to help developers implement models in production environments and Keras for quickly prototyping new ideas in research scenarios. The book also includes best practices to improve the effectiveness in terms of tuning the models, handling memory constraints and usage of logs to save intermediate outputs. Finally, it concludes with the introduction to deep reinforcement learning for solving advanced problems in the field of AI and Artificial General Intelligence.