University Textbooks Computer Science Books

Coding for Beginners: Python: A Step-by-Step Guide to Learning Python Programing with Game and App Development Projects (Learn to Code)

Decode the Mystery of CodingPython is the world’s most popular coding language not only for software developers but also for scientists, mathematicians, and even kids. Python should be the 1st programming language you learn. Creating your own apps and video games is not hard – you just have to get started!Would you like a hands-on experience?If Yes, then keep reading This book is for anyone who wants to learn about computer programming, whether you are a student, adult, or just a beginner. To learn how to develop your own software and applications “Coding for Beginners Python” is a great starting point.Why is Python a Great Way to Learn Coding?Python is a high-level object-oriented programming language, but the high level does not mean complicated, it means highly functional in its range of use! Python is a beginner-friendly coding language and is made with newcomers in mind to help them learn to code as simple as possible. Beginners will find Python to be a fantastic language to learn since it allows the creation of a wide range of programs, from simple apps, websites, games, and much more!Here's a quick rundown of everything this book has to offer.To begin, we will walk you through the basics of programming, including how to get started with Python for the first time.In the first half of the book, you are exposed to basic terminology and computations. Strings, lists, and tuples are just a few of the basic Python data types that are covered.We go more in-depth and cover how to apply these data types with variations of conditions statements, if statements, for loops, and while loops. Then we use what we have learned to build the functions that create applications.In the last half of the book, we have plenty of coding exercises along with a complete walk-through for coding applications like a login system and games like Flappy Bird and Tetris.In conclusion, we have More than 50 exercises related to Python for your practice.So, if you have ambitions to become a software developer or just would like to learn a new skill, scroll up and click the “Buy Now” and start your journey to effective learning.

Hacking: The Controversial Art of a Professional Hacker. Practical Guide to Computer Network Hacking, Encryption, Cybersecurity, and Penetration Testing for Beginners

Would you like to discover the secret techniques of a professional hacker? Are you interested in understanding how to penetrate a computer system or an entire IT infrastructure? Would you like to start a career as an ethical hacker? If the answer to these questions is yes, then keep reading…You are about to begin a journey into the deepest areas of the web, where you will learn the most effective strategies for hacking any system you want, even if you have zero experience and are brand new to programming.In this book, Jason Callaway has condensed everything you need to know into a simple and practical text that includes real-world examples, step-by-step instructions, and tips from his personal experience.Anyone should read this information, at least to identify any potential security issue and prevent serious consequences for his own security or even his privacy.Moreover, don’t forget that hacking is absolutely not necessarily associated to a criminal activity. In fact, ETHICAL HACKING is becoming one of the most requested and well-paid positions in every big company all around the world. If you are a student or a professional interested in developing a career in this world, this book will be your essential “go-to” guide for your entire professional life.Here’s just a tiny fraction of what you’ll discover:Different types of hacking attacksWhat is ethical hackingHow to crack any computer and any network system, accessing all the data you wantHow to master the Linux operating system and its command lineHow to use Kali Linux for hacking and penetration testingKali Linux port scanning strategiesLittle known cryptography techniquesComputer networks’ vulnerability and the basics of cybersecurityHow to identify suspicious signals and prevent any external attack against your own deviceThe relationship between VPN and firewallsYou need to stay a step ahead of any criminal hacker, which is exactly where you will be after reading this book.If you are ready to access the hidden world of hacking, then scroll up and click the BUY NOW button!

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 (Texts in Computational Science and Engineering Book 15)

This book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.

Python Programming For Beginners: Learn The Basics Of Python Programming (Python Crash Course, Programming for Dummies)

Programming Doesn't Have To Be Difficult. If You Want To Get Started With Python Programming, Read On..How many times have you thought about learning how to code but got discouraged because you had no technical background, didn’t have the time to learn, or you just didn’t think you were smart enough?Would you like to learn the basics of python programming even if you are a complete novice? If so, this book can help you.Technology Entrepreneur, James Tudor, provides a concise, step-by-step guide to Python programming for beginners. A lot of examples, illustrations, end of chapter summary and practice exercises (with solutions) are provided to help the reader learn faster, remember longer and develop a thorough understanding of key concepts.  In This Book, you'll discover:A concise. Simple. Newby friendly style of teaching that lends itself well to beginnersChapters that have been sliced into bite-size chunks to give you the information you need (at that point in time) so you're not overwhelmed.Lots of simple, step-by-step examples and illustrations are used to emphasis key conceptsand help improve your understandingEach practice exercise builds on concepts discussed in previous chapters so your learning is reinforced as you progress.Topics are carefully selected to give you a broad exposure to Python, while not overwhelming you with too much (potentially unnecessary) information.An end of chapter summary is presented to give you key take aways that help you solidify your understandingSome of the topics covered include:How to get started - what you need and where to get it (Chapter 1)How a computer functions and what a computer program is (Chapter 2)Simple data types that are available to you and how to manipulate them (Chapter 3)…and much, much more!Please be aware, this book is only an extended preview of the paid version Python For Beginners: Learn Python In 5 Days With Step-by-Step Guidance And Hands-On Exercises. The intention with this free version is to give you the opportunity to see the authors teaching style and the quality of the material covered. Should you wish to upgrade to the paid version, five more in-depth chapters on conditions and loops, functions and modules etc are covered. In addition, a solution booklet (for the chapter exercises) is provided. 

Introduction to Scientific Programming with Python (Simula SpringerBriefs on Computing Book 6)

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.   

Automated Machine Learning: Methods, Systems, Challenges (The Springer Series on Challenges in Machine Learning)

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work. 

Concepts in Action: Representation, Learning, and Application (Language, Cognition, and Mind Book 9)

This open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of concepts from a wide range of fields including cognitive science, linguistics, philosophy, psychology, artificial intelligence, and computer science. The chapters focus on three distinct points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.


This books explains basis concept of JAVASCRIPT programming. This book only for beginners.TABLE OF CONTENTSIntroduction to JavascriptJavascript: Hello world programJavascript: VariablesJavascript: StatementsJavascript: commentsJavaScript: TypesJavascript: operatorsJavascript: Arithmetic OperatorsJavascript: Increment/decrement: ++, -- operatorsJavascript: Bitwise operatorsJavaScript: Logical operatorsJavaScript: Assignment operatorsJavaScript: Compound Assignment operatorJavascript: Ternary operatorJavaScript: Working with boolean valuesJavaScript: Decision Making: if, if-thenJavascript: if-else-if-else ladderJavaScript: Decision making using switch statementJavaScript: loopsJavaScript: do-while loopJavaScript: for loopJavaScript: break statementJavaScript: continue statementJavaScript: break in label formJavaScript: for in loopJavaScript: for-of loopJavaScript: get the type of variableJavaScript: Working with stringsJavaScript: Represent multi line stringsStrings and comparison operatorsJavaScript: Working with numbersJavaScript: Working with InfinityJavaScript: NaN: Not a NumberJavaScript: parseInt: Convert string to integerJavaScript: parseFloat: Convert string to floatJavaScript: Rounding float valuesJavaScript: ObjectsJavaScript: Nested objectsJavaScript: Iterating over all properties of objectJavaScript: null Vs undefinedJavaScript: functionsJavaScript: Function expressionsJavaScript: Nested functionsJavaScript: Function ArgumentsJavaScript: Recursion

Robotics, AI, and Humanity: Science, Ethics, and Policy

This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human – robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated.