This book is geared towards any Unix user who doesn't want to spend time creating or testing shell scripts. Instead, Shell Scripting Recipes dissects and explains over 150 much-needed and practical real-world examples, and then shows the reader how and when to appropriately use them. Because most scripts found in this book are POSIX (Portable Operating System Interface)-compliant, they are supported by many of the major shell variants, including Bash, ksh and sh, among others. File conversion, system administration, and resource monitoring are just a few of the topics covered in this highly practical shell scripting reference.
Excel Pivot Tables Recipe Book: A Problem-Solution Approach is for anyone who uses Excel frequently. This book follows a problem-solution format that covers the entire breadth of situations you might encounter when working with PivotTables—from planning and creating, to formatting and extracting data, to maximizing performance and troubleshooting. The author presents tips and techniques in this collection of recipes that cannot be found in Excel's Help section, and she carefully explains the most confusing features of PivotTables. All chapters have been organized into a collection of recipes that take you step-by-step from the problem you are experiencing to the solution you are aiming for. There’s no fuss to this book, only clear and precise information to help you assess your situationwhether common or uniqueand solve your problem. The book includes real-world examples of complex PivotTables, as well as numerous PivotTable programming examples. Table of Contents Creating a Pivot Table Sorting and Grouping Pivot Table Data Calculations in a Pivot Table Formatting a Pivot Table Extracting Pivot Table Data Modifying a Pivot Table Updating a Pivot Table Securing a Pivot Table Pivot Table Limits and Performance Publishing a Pivot Table Printing a Pivot Table Pivot Charts Programming a Pivot Table
This book follows a problem-solution format that covers the entire breadth of situations you might encounter when working with PivotTables—from planning and creating, to formatting and extracting data, to maximizing performance and ...
If you develop, test, or manage .NET software, you will find .NET Test Automation Recipes: A Problem-Solution Approach very useful. The book presents practical techniques for writing lightweight software test automation in a .NET environment and covers API testing thoroughly. It also discusses lightweight, custom Windows application user interface automation and teaches you low-level web application user interface automation. Additional material covers SQL stored procedure testing techniques. The examples in this book have been successfully used in seminars and teaching environments where they have proven highly effective for students who are learning intermediate-level .NET programming. You’ll come away from the book knowing how to write production-quality combination and permutation methods. Table of Contents API Testing Reflection-Based UI Testing Windows-Based UI Testing Test Harness Design Patterns Request-Response Testing Script-Based Web UI Testing Low-Level Web UI Testing Web Services Testing SQL Stored Procedure Testing Combinations and Permutations ADO.NET Testing XML Testing
This book is a practical reference for industry engineers using MATLAB to solve everyday problems: learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. This book provides practical guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your line of work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm.
This book is a practical reference for industry engineers using MATLAB to solve everyday problems: learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft.