Computing & Internet Computer Science Books

One Click And You're Done: An essential guide to cyber security that every tech user needs to read

The reason for this book is to assist in educating you towards ensuring your cyber safety. We live in a very different world than we did 5 or 10 years ago. Today, there are thousands of bad actors (hackers) whose day job is to make money by hacking technology users. Their target may be individuals or companies. They may be part of a group, working alone or paid by their Government. They may send out millions of phishing emails, hoping to trap lots of victims, or they may carry out a very specific, well thought out and planned attack, targeted at a single company or individual. Their reasons may be for financial gain, to cause chaos, for political motives or simply because they can.The results are generally the same: lost money, disaster, catastrophe and embarrassment. In a nutshell, PAIN. To prevent said pain, the first step is to educate yourself and get an understanding of the real threat that exists, understand how you can protect yourself and implement a game plan. This book will go a long way to helping you achieve this. However, remember that technology and threats are consistently evolving so what you learn today will greatly help you but could be superseded by a brand new threat tomorrow.

Collins Computer Science Coursebook 1

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 3

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 2

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 5

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 7

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 8

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 6

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

Collins Computer Science Coursebook 4

Collins Computer Science is a series of eight books for Classes 1 to 8. This conforms to the vision of the National Curriculum Framework (2005). Based on Windows 10 and MS Office 2013, this course includes an update section on Open Office and Windows 8. The series also includes contextual posters and actual National Cyber Olympiad papers with answer keys.

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.

An Introduction to APIs

Have you ever wondered how Facebook is able to automatically display your Instagram photos? How about how Evernote syncs notes between your computer and smartphone? If so, then it’s time to get excited!In this book, we walk you through what it takes for companies to link their systems together. We start off easy, defining some of the tech lingo you may have heard before, but didn’t fully understand. From there, each lesson introduces something new, slowly building up to the point where you are confident about what an API is and, for the brave, could actually take a stab at using one.

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: Your Advanced Guide To Learn Python in 7 Days: ( python guide , learning python , python programming projects , python tricks , python 3 )

Eager to learn Python Programming Quickly?Have you always wanted to learn computer programming but you thought is difficult for you? Or perhaps you know other programming languages but you are interested in learning Python language fast than ever? If the answer to these questions is yes....... ...then, you are in the right place! Code is the language of the future. And the time to learn the ins and outs of coding is now, unless of course you want to be left behind from the biggest revolution that mankind will witness. So what does it take to be one of those who the masses will rely on to create products, change them and do a lot more with technology? Well, the secret is in learning programming languages because every electronic device runs on some sort of programming language. The question then becomes; so which programming language should you at least prioritize to learn given that there are so many programming languages? Well, if for whatever reason, you have been looking to learn programming or perhaps looking to improve your programming skills, Python programming language could be the best option you can get right now. It makes everything so easy! From the rich and well-designed standard library and built-ins to the availability of modules and numerous third-party open source libraries, very few programming languages can beat it. Particularly, if you are a programmer who is looking to dip his or her feet into programming, you need to learn a simple language that is easy to understand and that has easy to maintain code. You need to learn a programming language that runs on all key operating systems such as Linux, Mac OS X, and Microsoft windows, and one that is more reliable (does not contain pointers, which is case with other languages based on C). You need to learn Python.Python will provide you all that, and since new platforms like Raspberry Pi are Python based, learning Python will place you at an ideal place where you can enjoy the internet of things of opportunities and anyway (in case you have not yet noticed), Python’s popularity for the internet of things is really growing. That is just a tip of the iceberg, with Python, opportunities and possibilities are simply endless. This book has actionable information that will help you to understand Python in a advanced level.Welcome to the final issue of our Python programming book series. This book is the advanced edition that you have been building up to as you went through the exercises in the last two books. This third issue of the book is even more comprehensive than the previous editions but equally educative and illuminating. Let me explain why this book is different... I think that the best way to learn Python (or any other skills) is by doing it. This book includes visual charts that you'll guide you and help you learn those specific codes that you want to learn really fast. And in this way, believe me that you'll have an immense sense of achievement and it’ll also help you retain the knowledge and master the language.Here's what we will talk about in this book: ✓File management✓Python Iterator✓Python Generator✓Regular Expressions ✓Python Closure✓Python Property✓Python Assert, and✓Simple recap projects If you’ve been thinking seriously about digging into programming, Python Programming: Your Advanced Guide To Learn Python in 7 Days, will get you up to speed and have you writing real programs fast. Why wait any longer? Click the BUY button now and start your engines and code!

Introduction to cyber security: stay safe online

This 24-hour free course introduced online security: how to recognise threats and take steps to reduce the chances that they will occur.

Scaling of Differential Equations (Simula SpringerBriefs on Computing Book 2)

The book serves both as a reference forvarious scaled models with corresponding dimensionless numbers, and as aresource for learning the art of scaling. A special feature of the book is the emphasis on how to create softwarefor scaled models, based on existing software for unscaled models. Scaling (or non-dimensionalization) is amathematical technique that greatly simplifies the setting of input parameters innumerical simulations. Moreover, scaling enhances the understanding of howdifferent physical processes interact in a differential equation model.Compared to the existing literature, where the topic of scaling is frequentlyencountered, but very often in only a brief and shallow setting, the presentbook gives much more thorough explanations of how to reason about finding theright scales. This process is highly problem dependent, and therefore the bookfeatures a lot of worked examples, from very simple ODEs to systems of PDEs,especially from fluid mechanics.The text is easily accessible andexample-driven. The first part on ODEs fits even a lower undergraduate level,while the most advanced multiphysics fluid mechanics examples target thegraduate level. The scientific literature is full of scaled models, but in mostof the cases, the scales are just stated without thorough mathematicalreasoning. This book explains how the scales are found mathematically.This book will be a valuable read for anyonedoing numerical simulations based on ordinary or partial differential equations.

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.

Network security

This 25-hour free course discussed network security and the intricacies of maintaining system resilience. It assumed an advanced knowledge of computing.

Learn Java: A Crash Course Guide to Learn Java in 1 Week: ( java programming , java for beginners , java programming for beginners, java coding , java )

Are you ready to program with Java in less than 1 week? Have you always wanted to learn computer programming but you thought is difficult for you? Or perhaps you know other programming languages but you are interested in learning the Java language fast? If the answer is Yes.........then, this book is for you!For one, Java is arguably the most acclaimed skill and is in demand nearly everywhere. IBM, Infosys, Twitter, Netflix, Google, Spotify, Uber, Amazon, Target, Yelp, Square, and other big players are always in need of a great Java programmer. Going by PayScale.com (the website that offers information about salary), an average Java developer earns about $70,000 annually. As a pro in the field, you have the entire globe to work over, as the demand is never restricted to a particular geographical area. This book is the ultimate beginners’ crash course to Java programming, as it will help you learn enough about the language in as little as 1 week! Complex concepts are broken down into simple and easy steps to ensure that you can easily master the Java language even if you have never coded before.Let me explain why this book is different...I think that the best way to learn Java (or any other skills) is by doing it. This book includes visual charts that you'll guide you and help you learn those specific codes that you want to learn really fast. And in this way, believe me that you'll have an immense sense of achievement and it’ll also help you retain the knowledge and master the language.This book is for....● Those who are completely newbies with Java!● Those who have basic information of this programming language!● Those who already have the knowledge but perhaps they want to master it well! The book is updated to the latest Java versions (8 and 10) and the main topics of what the book will be about include:• The fundamentals of Java• How to program the right way, cutting out the useless fluff!• Use arrays and classes for managing program data.• Write programs that use loops to perform repetitive tasks.• Design and write procedural programs that use methods.• Understanding Java Variables, Arrays, Loops, and Conditional Statements• Use if and switch statements to make decisions in your programs.• Learn the concept of Object Oriented Programming (from fundamentals to advanced)• How to understand and write simple Java programs• And much, much more! Let’s begin our learning.Click the BUY button now and download the book now to start learning Java.

Rethinking Productivity in Software Engineering

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 'Dagstuhl' seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity.The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering.Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions.What You'll LearnReview the definitions and dimensions of software productivitySee how time management is having the opposite of the intended effectDevelop valuable dashboardsUnderstand the impact of sensors on productivityAvoid software development wasteWork with human-centered methods to measure productivityLook at the intersection of neuroscience and productivityManage interruptions and context-switchingWho Book Is ForIndustry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology.