Crash Course On Operating System Blocks Commonly Used Data Structures Overview
Download Crash Course On Operating System Blocks Commonly Used Data Structures Overview PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Crash Course On Operating System Blocks Commonly Used Data Structures Overview book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Crash Course on Operating System Blocks & Commonly Used Data Structures Overview
Author: John Maclane
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2017-06-02
To be a good programmer is difficult and challenging. Writing computer programs is important and takes great intelligence and skill. Just having a good grip over your programming language doesn't necessarily make you a good programmer. If you have written enough pieces of software, necessary part of that experience is - you must learn the environment where your program will run. More you know about the system, better you are while writing your piece. In current times, where technology keeps evolving every day both our software and hardware platforms keep changing. So, the piece of software that works fine on one platform, might have to be redesigned for another platform. This is mostly true while writing system software. But even for application software, if you understand how to modularize your software based on underlying architecture, when really to take advantage of kernel provided primitives like threading, IPC, synchronization etc., analyze benefits and trade-offs associated with them - you will feel more confident in writing your piece and the result is, a more robust and reliable software. With this intent, this book gives you a crash course of core building blocks that make an Operating System. This book is my attempt to remove few extra pounds and just focus on core fundamentals and building blocks of Operating System and commonly used Data Structures. The intent is, more you know about how your system works, you are more likely to become a better and an effective programmer. I am confident, once you understand these building blocks; you could create your complex data structures as per your specific requirement and work on them like a charm.
Beginning Mac OS X Snow Leopard Programming
A solid introduction to programming on the Mac OS X Snow Leopard platform The Mac OS X Snow Leopard system comes with everything you need in its complete set of development tools and resources. However, finding where to begin can be challenging. This book serves as an ideal starting point for programming on the Mac OS X Snow Leopard platform. Step-by-step instructions walk you through the details of each featured example so that you can type them out, run them, and even figure out how to debug them when they don't work right. Taking into account that there is usually more than one way to do something when programming, the authors encourage you to experiment with a variety of solutions. This approach enables you to efficiently start writing programs in Mac OS X Snow Leopard using myriad languages and put those languages together in order to create seamless applications. Coverage Includes: The Mac OS X Environment Developer Tools Xcode Interface Builder The C Language The Objective-C Language An Introduction to Cocoa Document-Based Cocoa Applications Core Data–Based Cocoa Applications An Overview of Scripting Languages The Bash Shell AppleScript and AppleScriptObjC Javascript, Dashboard, and Dashcode Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Introduction to Modern Scientific Programming and Numerical Methods
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process. This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis. It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or to any new personnel working in scientific computing or data analysis. Key Features: Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and Verilog Provides an introduction to modern high-performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing" Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, and molecular dynamics A video of the author discussing the book can be accessed here: https://www.youtube.com/watch?v=KYn8aDKXlcs