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Local Government Budgeting

RRP $372.99

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In an effort to bridge the gap between budget theorists and practitioners, this book approaches local government budgeting as the internal resource allocation process of a highly differentiated organization that operates in a very political environment, and whose boundaries are particularly permeable during the formal budget process. Written by academics with extensive practical experience in local government budgeting and finance, this text will be equally useful to practitioners, scholars and students. Theory building in public budgeting has been dominated by political science and economics, and these approaches have not produced theories that can serve as guides to action for practitioners or help them understand their action environments. In order to produce theory that has meaning for practitioners, researchers should approach the subject as it is experienced by practitioners. The long-term financial health of local governments requires an integrated approach to public budgeting. This book develops theory that illuminates practice. It recognizes that the budget process is the only organization-wide process that integrates all of the agencies that comprise the government, and thus, the budget must address the long-term consequences of any action. The budget process itself is presented as a vehicle to develop the decision premises and organizational values that will support allocative efficiency and productivity.


Python For Software Design

RRP $362.99

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Python for Software Design is a concise introduction to software design using the Python programming language.

Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging.

The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept.

About the Author

Allen B. Downey, Ph.D., is an Associate Professor of Computer Science at the Olin College of Engineering in Needham, Massachusetts. He has taught at Wellesley College, Colby College, and UC Berkeley. He has a doctorate in computer science from UC Berkeley and a Master's degree from MIT. Dr Downey is the author of a previous version of this book, titled How to Think Like a Computer Scientist : Learning with Python , which he self-published in 2001.



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Personal Budgeting Budgeting Advice Budgeting Software Budgeting Activities
Paycheck Budget Emergency Budgeting Budgeting Dummies Envelope System

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