Learn Intel 64 assembly language and architecture, become proficient in C, and understand how the programs are compiled and executed down to machine instructions, enabling you to write robust, high-performance code.
Low-Level ProgrammingÂ explains Intel 64 architecture as the result of von Neumann architecture evolution.Â Â The book teaches the latest version of the C language (C11) and assembly language from scratch.Â Â It covers the entire path from source code to program execution, including generation of ELF object files, and static and dynamic linking. Code examples and exercises are included along with the best code practices.Â Optimization capabilities and limits of modern compilers are examined, enabling you to balance between program readability and performance. The use of various performance-gain techniques is demonstrated, such as SSE instructions and pre-fetching. Relevant Computer Science topics such as models of computation and formal grammars are addressed, and their practical value explained.
What You'll Learn
Low-Level ProgrammingÂ teaches programmers to:
Who This Book Is For
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, youâll learn how to load data, assemble and disassemble data objects, navigate Râs environment system, write your own functions, and use all of Râs programming tools.
RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. Youâll gain valuable programming skills and support your work as a data scientist at the same time.
A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming.
This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks.
This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming.
NLP (Neuro-Linguistic Programming) has helped millions to overcome their fears, increase their confidence, and achieve greater success in their personal and professional lives and relationships. Now, from the company that created NLP: The New Technology of Achievementâone of the bestselling NLP books of all timeâcomes NLP: The Essential Guide to Neuro-Linguistic Programming.
This user-friendly guide, written by three seasoned NLP Master Practitioners and coaches, leads you on a personal journey in using and applying NLP in everyday life. Through their real-life stories, you will experience the NLP strategies you need to achieve specific results in business and in life.
As you read NLP: The Essential Guide, you'll find yourself thinking in new ways and applying the techniques to your own personal challenges and opportunities for greater satisfaction.
Implementing lean principles to your existing organization allows you to identify strategies which enhance your results and minimize waste. Reduce useless feedback loops and deliver your product on time, every time!
Here's just a small taste of the problems implementing lean principles can help you overcome:
and much much more.....
Originally formed in manufacturing circles, lean principles have excellent application across all software development. Your organization too can benefit from these insights!
In this book you will learn the basics of lean software development including:
Grab your copy today and learn how you can improve your team's efficiency and create the results you desire within your organization!
Prepare for the SAS Base Programming for SAS 9 exam with the official guide by the SAS Global Certification Program.
New and experienced SAS users who want to prepare for the SAS Base Programming for SAS 9 exam will find this guide to be a valuable resource that covers all of the objectives tested on the exam. Now in its fifth edition, the guide has been extensively updated and revised to streamline explanations.
Major topics include importing data, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. The chapter quizzes have been thoroughly updated and full solutions are included at the back of the book. In addition, links are provided to the exam objectives, practice exams, and other helpful resources, such as the updated Base SAS glossary and an expanded collection of practice data sets.
Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it.
Princeton Universityâs Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience.
This example-driven guide focuses on Pythonâs most useful features and brings programming to life for every student in the sciences, engineering, and computer science.
Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
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