Kevin Feeney - Böcker
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4 produkter
121 kr
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An issue that has been argued before the Supreme Court and that is still the subject of a heated debate across America that is fraught with misunderstanding, medical marijuana is a major, complex topic. This practical manual offers reliable legal information for anyone interested in knowing more about medical marijuana. Written for the educated layperson, whether a patient, doctor, lawmaker, or a law enforcement official, the book starts with a history of medical marijuana in the United States. From there, the book spells out everything readers need to know on the contemporary aspects of the subject, with in-depth discussions of state and federal laws, the medical necessity defense, important cases, and specific requirements for lawfully using medical marijuana. A model statute offers guidance to readers who want to legalize the use of the drug for medicinal purposes in states without medical marijuana laws.
432 kr
Skickas inom 3-6 vardagar
566 kr
Skickas inom 10-15 vardagar
To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.
1 292 kr
Skickas inom 10-15 vardagar
To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.