Computing & Internet Computer Science Books

Algorithms Made Easy: A beginners Handbook to easily learn all algorithms and all types of data structures (Programming Ebooks 1)

This Book will help you discover how to easily learn algorithms and data structures. It will also take you through algorithms and data structures from Beginner level to expert Level.. Check It out and You will always have a smile on your face in every programming experience that you come across.What You Will Discover:How To easily Learn AlgorithmsLearn and code algorithms from beginner level to expert level.How to avoid tp mistakes that most programmers makeHow to keep Algorithms at your fingertips I WISH YOU A HAPPY PROGRAMMING JOURNEY

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.

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.

Network security

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

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.

Principles of Programming languages - Principle Of Programming Languages: Principles of Programming languages - Principle Of Programming Languages

Reasons for Studying of Programming LanguagesIncreased capacity to express ideas: People can easily express their ideas clearly in any language only when they have clear understanding of the natural language. Similarly, if programmers want to simulate the features of languages inanother language, they should have some ideas regarding the concepts in other languages as well. Improved background for choosing appropriate languages Many programmers when given a choice of languages for a new project, continue to use the language with which they are most familiar, even if it is poorlysuited to the project. If these programmers were familiar with a wider range of languages, they would be better able to choose the language that includes the features that best address the characteristics of the problem at hand.Increased ability to learn new languages In software development, continuous learning is essential.  The process of learning a new programming language can be lengthy and difficult, especially for someone who is comfortable with only two or more languages.  Once a thorough understanding of the fundamental concepts of languages is acquired, it becomes far easier to see how these concepts are incorporated into the design of the language being learned. Better understanding the significance of implementation An understanding of implementation issues leads to an understanding of why languages are designed the way they are.  This knowledge in turn leads to the ability to use a language more intelligently, as it was designed to use.  We can become better programmers by understanding the choices among programming language constructs and consequences of those choices. Better use of languages that are already known By studying the concepts of programming languages, programmers can learn about previously unknown and unused parts of the languages they already use and begin to use those features.

Creating Mobile Apps with Xamarin.Forms Preview Edition 2 (Developer Reference)

This second Preview Edition ebook, now with 16 chapters, is about writing applications for Xamarin.Forms, the new mobile development platform for iOS, Android, and Windows phones unveiled by Xamarin in May 2014. Xamarin.Forms lets you write shared user-interface code in C# and XAML that maps to native controls on these three platforms.

C PROGRAMMING MADE EASY: A beginners handbook to easily learn C programming. Code in C easily (Programming Ebooks 2)

This book will help you discover how to easily learn and code in C.It will take you from a complete beginner to an expert in C Programming.You will discover the best ways on how to become a successful C Programmer.You will also discover the top mistakes that Most C programmer do and how to overcome them

MySQL MADE EASY: A beginners handbook to easily learn MySQL. (Learn MySQL easily) (Programming Ebooks 9)

This book will help you learn MySQL easily.What you will discover from this book:The FULL BLUEPRINT ON HOW TO MOVE from a beginner to an expert in MySQLLearn MySQL from scratchHow to avoid most mistakes that most people make in MySQL.How to become a PRO in MySQL.How to avoid most errors in MySQL.

Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Machine Learning From Scratch Book 1)

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to machine learning. Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.New Updated EditionThis major new edition features many topics not covered in the First Edition, including Cross Validation, Ensemble Modeling, Grid Search, Feature Engineering, and One-hot Encoding. Please note that this book is not a sequel to the First Edition but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition.Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and offer you a clear lay of the land.In This Step-By-Step Guide You Will Learn:• How to download free datasets• What tools and machine learning libraries you need• Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data• Preparing data for analysis, including k-fold Validation• Regression analysis to create trend lines• Clustering, including k-means clustering, to find new relationships• The basics of Neural Networks• Bias/Variance to improve your machine learning model• Decision Trees to decode classification• How to build your first Machine Learning Model to predict house values using PythonFrequently Asked QuestionsQ: Do I need programming experience to complete this e-book?A: This e-book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see programming language used in this book. Q: I have already purchased the First Edition of Machine Learning for Absolute Beginners, should I purchase this Second Edition?A: As many of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning.Q: Does this book include everything I need to become a machine learning expert?A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.

HTML5 MADE EASY: A beginners Handbook to easily learn HTML5. (CODE HTML5 EASILY) (Programming Ebooks)

This book will help you learn how to code HTML5 easily.What you will discover from this book:The FULL BLUEPRINT ON HOW TO MOVE from a beginner to an expert in HTML5Learn HTML5How to avoid most mistakes that most programmers in HTML5 make.How to become a pro HTML5 programmer.How to avoid most errors in HTML5