The 50th Signal Battalion was activated July 1, 1940, at Fort Sheridan, Illinois, not long before the United States was drawn into World War II. In September of 1941, a portion of the Battalion was sent to Iceland, followed by the rest in January of 1942 in order to build a communications infrastructure for Iceland Base Command on the island. Upon completion of that assignment, the Battalion was sent to England to prepare for the invasion of continental Europe. On D-Day, June 6, 1944, the Battalion landed on Utah Beach in support of VII Corp and its assigned units, which continued until the end of the war in Europe. Much of the information and many of the photographs contained in this book came from meeting or conversing over the phone with World War II veterans of the 50th Signal Battalion or the surviving members of their families.

Demonstrates how to become adjusted to the Macintosh operating system and how to transfer data from a Windows system to a Macintosh, discussing topics such as moving files and Macintosh equivalents to Windows-only programs.

How to make the mail program start after pressing ALT? Most administrative work, both for the working station and the server, is done in the shell. Adjusting it to your needs, creating shortcuts on the level of command names as well as shortcuts makes this work quicker. This micro-course describes how to add commands contained in a file to the current session, how to manage command aliases, and how to join key shortcuts with a command or the shell command line editor action.

This book provides authoritative information on the theory behind the Macintosh 'look and feel' and the practice of using individual interface components. It includes many examples of good design and explains why one implementation is superior to another. Anyone designing or creating a product for Macintosh computers needs to understand the information in this book.

For power users who want to modify Tiger, the new release of Mac OS X, this book takes them deep inside Mac OS X's core, revealing the inner workings of the system.

Lay down some tracks—no garage required! GarageBand has become the default musical sketchpad for both well-known artists and hobbyists musicians who want a simple way to record, edit, and share their own tunes. GarageBand For Dummies is your go-to guide to navigating the interface and making the tweaks to create your own songs. Look inside to discover how to lay down a beat with the virtual drum kits, layer on sweet sounds with built-in virtual instruments, and attach simple hardware to record vocals or live instruments on a Mac, iPad, or even an iPhone. Use built-in instruments to create a song Attach your guitar or mic to record live sounds Export your final product or individual tracks Add effects and edit your song GarageBand is the simplest way to create basic tracks without investing in costly hardware and learning a complex digital audio workstation software package—and this book shows you how.

In today's Web 2.0 world, JavaScript and Dynamic HTML are at the center of the hot new approach to designing highly interactive pages on the client side. With this environment in mind, the new edition of this book offers bite-sized solutions to very specific scripting problems that web developers commonly face. Each recipe includes a focused piece of code that you can insert right into your application. Why is JavaScript & DHTML Cookbook so popular? After reading thousands of forum threads over the years, author and scripting pioneer Danny Goodman has compiled a list of problems that frequently vex scripters of various experience levels. For every problem he addresses, Goodman not only offers code, but a discussion of how and why the solution works. Recipes range from simple tasks, such as manipulating strings and validating dates in JavaScript, to entire libraries that demonstrate complex tasks, such as cross-browser positioning of HTML elements, sorting tables, and implementing Ajax features on the client. Ideal for novices as well as experienced scripters, this book contains more than 150 recipes for: Working with interactive forms and style sheets Presenting user-friendly page navigation Creating dynamic content via Document Object Model scripting Producing visual effects for stationary content Positioning HTML elements Working with XML data in the browser Recipes in this Cookbook are compatible with the latest W3C standards and browsers, including Internet Explorer 7, Firefox 2, Safari, and Opera 9. Several new recipes provide client-side Ajax solutions, and many recipes from the previous edition have been revised to help you build extensible user interfaces for Web 2.0 applications. If you want to write your own scripts and understand how they work, rather than rely on a commercial web development framework, the JavaScript & DHTML Cookbook is a must.

The Command Block is without question the most powerful tool in Minecraft, and it's also one of the least understood by most players. This is because the Command Block cannot be crafted without using console commands—the systems that Command Blocks use are entirely script and coding based. That being said, the quickest, most powerful, and most thorough way to activate many special features in Minecraft is to use Command Blocks. With The Ultimate Guide to Mastering Command Blocks, you'll learn to send messages to an entire server, change the time of day or weather, teleport a person, and automate processes. Now, the keys to these strategies are available to all 'Crafters through this book.

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms