Mastering Computer Typing

Guide for learning how to touch-type on a computer keyboard.

A step-by-step guide to the fundamentals of typing contains numerous exercises to test skill and speed.

* This book useful to who wants to learn keyboard typing without seeing the keyboard * Today computer and internet used by each and every one. but most of them struggle to type characters. They search every characters while typing. It will take more time to finish single page of document. So i plan to teach the typing method in proper manner* If you are follow the lesson and practice in your home or office 30 minutes per day I assure you. definetly you will become a master of keyboard typing. This is my aim who purchase this book they will become a good in typing master in keyboard* If you practiced all the lessons, once again start from lesson1 to end of the lesson You will see your keyboard fingering mistakes are reduced * Practice makes a man perfect.So continuously practice it, to become a master of keys.* I assure you. If you complete the lessons properly then you love the keys while typing

Leave hunt-and-peck to the chickens. Effective and efficient keyboarding is more than tapping the correct letter. Designed for individual and classroom use, this book teaches you to react to letters instead of finding them on the keyboard. This breakthrough guide brims with step-by-step exercises for keyboarding with ease. Develop your digital dexterity with Keyboarding Made Simple. Topics covered include: • correct body positioning and posture • basic letters, numbers, and symbols • faster keyboarding using AutoWords and AutoBlends • using text alignment and justification • envelopes and letters • using columns to create newsletters • avoiding common errors • mastering the keypad • handling electronic communication

Python for Web Python definitely tops the charts when it comes to ease of use and beginner-friendly learning curve in the world of programming languages. At the same time, Python is essential when it comes to writing system scripts, processing big data, performing mathematical computations, creating web applications, and rapid prototyping. With this Mastering edition, we have focused especially on the usage of Python for Web. This book explores Python programming fundamentals with interactive projects and introduces core coding concepts and the basics of Python-based web development. The reader should be ready to dive deep into the world of Python for web development in no time. Since Python positions itself in web development as a back-end language, it is usually mixed with another front-end language to build a whole website. At the same time, reasons for using Python in web development are many: it is a flexible, versatile, and highly efficient programming language with dynamic typing capacity. This book helps readers to examine Python's key back-end/front-end programming techniques and guides them through implementing them when creating professional projects. Furthermore, it also focuses on teaching readers how to solve common problems and developing web services with Python frameworks such as Django and Flask. Mastering Python for Web has a goal more ambitious than simply teaching you the ropes - it aims to help you embrace and master problem solving, which could be viewed as the single most crucial skill for a coder. It offers you a focal point on starting as a beginner and growing into an expert by putting your newly acquired knowledge into practice. Programming is a hands-on skill, and this particular book helps you put your skills to test with easy-to-grasp tasks and examples. Learn more about our other Mastering titles at: https://www.routledge.com/Mastering-Computer-Science/book-series/MCS

Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key FeaturesGain a fundamental understanding of advanced computer vision and neural network models in use todayCover tasks such as low-level vision, image classification, and object detectionDevelop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkitBook Description Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks. What you will learnExplore methods of feature extraction and image retrieval and visualize different layers of the neural network modelUse TensorFlow for various visual search methods for real-world scenariosBuild neural networks or adjust parameters to optimize the performance of modelsUnderstand TensorFlow DeepLab to perform semantic segmentation on images and DCGAN for image inpaintingEvaluate your model and optimize and integrate it into your application to operate at scaleGet up to speed with techniques for performing manual and automated image annotationWho this book is for This book is for computer vision professionals, image processing professionals, machine learning engineers and AI developers who have some knowledge of machine learning and deep learning and want to build expert-level computer vision applications. In addition to familiarity with TensorFlow, Python knowledge will be required to get started with this book.

A basic typing handbook using the self-teaching, learn-at-your-own-speed methods of one of New York’s most successful business schools. This practical guide offers specialized drills, speed and accuracy timings, centering and tabulating, finished business letters, how to make corrections and copies, proofreaders’ symbols, as well as trouble-saving tips.

Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition. An introductory computer literacy text for nurses and other healthcare students, Introduction to Computers for Healthcare Professionals explains hardware, popular software programs, operating systems, and computer assisted communication. The Fifth Edition of this best-selling text has been revised and now includes content on on online storage, communication and online learning including info on PDA's, iPhones, IM, and other media formats, and another chapter on distance learning including video conferencing and streaming video.