Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This comprehensive guide shows you how to master the most important changes to Java since it was first released. Generics and the greatly expanded collection libraries have tremendously increased the power of Java 5 and Java 6. But they have also confused many developers who haven't known how to take advantage of these new features.
Java Generics and Collections covers everything from the most basic uses of generics to the strangest corner cases. It teaches you everything you need to know about the collections libraries, so you'll always know which collection is appropriate for any given task, and how to use it.
Topics covered include:
Fundamentals of generics: type parameters and generic methods
Other new features: boxing and unboxing, foreach loops, varargs
Subtyping and wildcards
Evolution not revolution: generic libraries with legacy clients and generic clients with legacy libraries
Generics and reflection
Design patterns for generics
Sets, Queues, Lists, Maps, and their implementations
Concurrent programming and thread safety with collections
Performance implications of different collections
Starting Out with Java: From Control Structures through Objects provides a brief yet detailed introduction to programming in the Java language. Starting out with the fundamentals of data types and other basic elements, readers quickly progress to more advanced programming topics and skills. By moving from control structures to objects, readers gain a comprehensive understanding of the Java language and its applications.
As with all Gaddis texts, the Sixth Edition is clear, easy to read, and friendly in tone. The text teaches by example throughout, giving readers a chance to apply their learnings by beginning to code with Java.
Effective JavaScript is organized around 68 proven approaches for writing better JavaScript, backed by concrete examples. You’ll learn how to choose the right programming style for each project, manage unanticipated problems, and work more successfully with every facet of JavaScript programming from data structures to concurrency. Key features include
A reorganized and comprehensive major revision of a classic book, this edition provides a bridge between introductory digital communications and more advanced treatment of information theory. Completely updated to cover the latest developments, it presents state-of-the-art error control techniques. Coverage of the fundamentals of coding and the applications of codes to the design of real error control systems. Contains the most recent developments of coded modulation, trellises for codes, soft-decision decoding algorithms, turbo coding for reliable data transmission and other areas. There are two new chapters on Reed-Solomon codes and concatenated coding schemes. Also contains hundreds of new and revised examples; and more than 200 illustrations of code structures, encoding and decoding circuits and error performance of many important codes and error control coding systems.Appropriate for those with minimum mathematical background as a comprehensive reference for coding theory.
C How to Program is a comprehensive introduction to programming in C. Like other texts of the Deitels’ How to Program series, the book serves as a detailed beginner source of information for college students looking to embark on a career in coding, or instructors and software-development professionals seeking to learn how to program with C.
The Deitels’ groundbreaking How to Program series offers unparalleled breadth and depth of programming fundamentals, object-oriented programming concepts and intermediate-level topics for further study. Java How to Program, Early Objects, 11th Edition, presents leading-edge computing technologies using the Deitel signature live-code approach, which demonstrates concepts in hundreds of complete working programs. The 11th Edition presents updated coverage of Java SE 8 and new Java SE 9 capabilities, including JShell, the Java Module System, and other key Java 9 topics.
This invaluable textbook presents a comprehensive introduction to modern competitive programming. The text highlights how competitive programming has proven to be an excellent way to learn algorithms, by encouraging the design of algorithms that actually work, stimulating the improvement of programming and debugging skills, and reinforcing the type of thinking required to solve problems in a competitive setting. The book contains many “folklore” algorithm design tricks that are known by experienced competitive programmers, yet which have previously only been formally discussed in online forums and blog posts.
How to master CCNP TSHOOT shows you, step-by-step, everything that could possibly go wrong with protocols like OSPF, EIGRP, NAT, BGP and everything else you learned in CCNA and CCNP ROUTE & SWITCH so far. More importantly, you will learn how to troubleshoot them so that you will master the CCNP TSHOOT exam! Plus you’ll receive an overview of troubleshooting labs that you should practice from GNS3vault.com.
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems.
Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python, being a dynamic language, allows for fast exploration and experimentation. This book shows you exactly how to find patterns in your raw data. You will start by brushing up on your Python machine learning knowledge and being introduced to libraries. You'll quickly get to grips with serious, real-world projects on datasets, using modeling and creating recommendation systems. With Building Machine Learning Systems with Python, you’ll gain the tools and understanding required to build your own systems, all tailored to solve real-world data analysis problems.
Are you new to JavaScript? Or have you added scripts to your web page but want a better idea of how they work? Then this book is for you.
We'll not only show you how to read and write JavaScript, but we’ll also teach you the basics of computer programming in a simple, visual way.
All you need is a basic understanding of HTML and CSS.
Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.
Based on the authors market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. * Begins by discussing Python s conceptually simple syntax, which allows for a greater focus on concepts. * Employs a consistent object-oriented viewpoint throughout the text. * Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. * Provides a thorough discussion on the analysis and design of fundamental data structures. * Includes many helpful Python code examples, with source code provided on the website. * Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. * Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. * Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.
As scientific and engineering projects grow larger and more complex, it is increasingly likely that those projects will be written in C++. With embedded hardware growing more powerful, much of its software is moving to C++, too. Mastering C++ gives you strong skills for programming at nearly every level, from “close to the hardware” to the highest-level abstractions. In short, C++ is a language that scientific and technical practitioners need to know.
Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book even more useful.
Progressing from the concrete to the abstract — and using numerous, substantial case studies and sample programs — this book explores structured problem solving, data abstraction, software engineering principles, and the comparative analysis of algorithms as fundamental tools of program design. The book and all programs have been completely written from the Object-Oriented perspective. Uses the C++ programming language throughout. Briefly reviews the syntax of C++ and provides a brief introduction to the language. The book is native C++ making full use of C++ features and object-oriented programming. Discusses major principles of software engineering and applies them to large programming projects. Covers several more advanced, modern topics, e.g.: Splay trees, Red-black trees, Amortized algorithm analysis.
Ever wished you could learn Python from a book? Head First Python is a complete learning experience for Python that helps you learn the language through a unique method that goes beyond syntax and how-to manuals, helping you understand how to be a great Python programmer. You'll quickly learn the language's fundamentals, then move onto persistence, exception handling, web development, SQLite, data wrangling, and Google App Engine. You'll also learn how to write mobile apps for Android, all thanks to the power that Python gives you.
We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Python uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
Computer programming language Java is not easy to understand. It takes lot of time and practice to understand the complex programming language. But this book takes an interactive and fun approach for better understanding of different fundamentals of Java. The book offers multi-sensory and fun learning experience for new programmers, so they can easily pick up the new language.
Human brain responds and remembers unusual situations, images or incidents. Keeping that in mind, this revised second edition of the book has been presented with lots of humorous images, memorable analogies and mind-bending exercises. The language in which the book is written is also casual for better understanding of the difficult computer programming language.
Although it follows a causal approach, the book refers to some serious computer-related information that encourages readers to learn and think like professional Java programmers. The book focuses on Java 5.0, the latest version of the Java development platform, along with certain deep code-levels. From basic programming fundamentals to advanced topics, including threads, distributed programming with RMI and network sockets, the book covers almost all major Java concepts.
There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common programming techniques.
Implementations, as well as interesting, real-world examples of each data structure and algorithm, are included.
Using both a programming style and a writing style that are exceptionally clean, Kyle Loudon shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs. He explains how to use algorithms for sorting, searching, numerical analysis, data compression, data encryption, common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and encryption chapters not only give you working code for reasonably efficient solutions, they offer explanations of concepts in an approachable manner for people who never have had the time or expertise to study them in depth.
Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers!
This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programme in any language.
