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Книги з теми "Developer API"

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Автор: Grafiati
Опубліковано: 14 березня 2023

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1

Graham, Wayne. Facebook API Developers Guide. Berkeley, CA: Wayne Graham, 2008.

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2

Windows speech recognition programming: With Visual Basic and ActiveX voice controls ; exploring Speech API (SAPI) & Software Developer Kit (SDK) for voice input & output enabling of Windows applications. New York: IUniverse, Inc., 2004.

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3

Freeman, Adam. Expert ASP.NET Web API 2 for MVC Developers. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0085-8.

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4

Visual Basic developer's guide to the Win32 API. San Francisco, Calif: SYBEX, 2000.

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5

DB2 universal database application programming interface (API) developer's guide. New York: McGraw-Hill, 2000.

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6

E, Sanders Roger. DB2 universal database application programming interface (API) developer's guide. New York: McGraw-Hill, 2000.

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7

Inc, ebrary, ed. TYPO3 extension development: Developer's guide to creating feature-rich extensions using the TYPO3 API. Birmingham, UK: Packt Pub., 2008.

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8

Richter, Jeffrey. Advanced Windows: The Developer's Guide to the Win32 API for Windows NT 3.5 and Windows 95. Redmond, WA: Microsoft Press, 1995.

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9

Richter, Jeffrey M. Advanced Windows: The developer's guide to the Win32 API for Windows NT 3.5 and Windows 95. Redmond, WA: Microsoft Press, 1995.

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10

The developer's guide to social programming: Building social context using Facebook, Google friend connect, and the Twitter API. Upper Saddle River, NJ: Addision Wesley, 2011.

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11

D, Gardner Kevin, and NASA Glenn Research Center, eds. Advanced Subsonic Technology (AST) Area of Interest (AOI) 6: Develop and validate aeroleastic [i.e. aeroelastic] codes for turbomachinery. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

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12

D, Gardner Kevin, and NASA Glenn Research Center, eds. Advanced Subsonic Technology (AST) Area of Interest (AOI) 6: Develop and validate aeroleastic [i.e. aeroelastic] codes for turbomachinery. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 1999.

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13

Odincov, Boris. Models and intelligent systems. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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Анотація:
The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used. The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discusses difficulties in the development of the classical approach, associated with identifying the meaning of words, phrases, text, and formulating thoughts. The analysis of problems arising in the play of imagination and insight, machine understanding of natural language texts, play, verbalization and reflection. The third Chapter contains examples of the development of intelligent information systems and technologies in practice of management of economic objects. Theoretical bases of construction of information robots designed to support the task hierarchy of the knowledge base and generating control regulations. The technology of their creation and application in the management of the business efficiency of enterprise business processes and its investment activities. Focused on researchers and developers, AI and intelligent information systems, as well as graduate students and faculty in related academic disciplines.
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14

Team, Documentation. Amazon API Gateway Developer Guide. Samurai Media Limited, 2018.

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15

Nath, Anish. Cryptography for JavaScript Developer: Web Cryptography Api, Sjcl. Independently Published, 2018.

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16

Redbooks, IBM. Open32 Developer Api Extensions for Os/2 Warp. IBM, 1996.

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17

Talan, Eakta, and Lalit Kumar. Learn ASP. Net Web Api: Become ASP. Net Web Api Developer in Just Few Days. Independently Published, 2018.

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18

Nandaa, Anthony. Beginning API Development with Node.js: Build highly scalable, developer-friendly APIs for the modern web with JavaScript and Node.js. Packt Publishing, 2018.

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19

WebSphere Portal 5.1 ExamScam: IBM Certified Solution Developer Exam Certification Study Guide - IBM WebSphere Portal Development with the JSR-168 API, Test 399. Cameron McKenzie, 2006.

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20

Facebook API Developers Guide. Berkeley, CA: Apress, 2008. http://dx.doi.org/10.1007/978-1-4302-0970-6.

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21

Graham, Alan. Facebook API Developers Guide. Apress, 2008.

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22

Expert ASP.NET Web API 2 for MVC Developers. Apress, 2014.

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23

Freeman, Adam. Expert ASP.NET Web API 2 for MVC Developers. Apress, 2014.

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24

Dharani, R. Web API Design: Crafting Interfaces That Developers Love. Independently Published, 2017.

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25

Freeman, Adam. Expert ASP. NET Web API 2 for MVC Developers. Apress L. P., 2014.

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26

Brown, Steve. Visual Basic Developer's Guide to the Win32 API. Sybex Inc, 1999.

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27

Android Developer Tools Essentials. O'Reilly Media, 2012.

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28

Wood, Keith. Jbuilder 6.0 Open Tools API Developer's Guide (With CD-ROM). Wordware Publishing, Inc., 2002.

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29

Dorasamy, Rennay. API Marketplace Engineering: Design, Build, and Run a Platform for External Developers. Apress L. P., 2022.

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30

R, Dharani. Learn Basics of Web API Design Best Practices for Crafting Interfaces That Developers Love. Independently Published, 2018.

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31

R, Dharani. Learn the Web API Design and Crafting Interfaces That Developers Love: Web Application Programming Interface Design Crafting Interfaces That Developers Love. Independently Published, 2018.

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32

Felker, Donn, and Mike Wolfson. Android Developer Tools Essentials: Android Studio to Zipalign. O'Reilly Media, Incorporated, 2013.

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33

Felker, Donn, and Mike Wolfson. Android Developer Tools Essentials: Android Studio to Zipalign. O'Reilly Media, Incorporated, 2013.

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34

Felker, Donn, and Mike Wolfson. Android Developer Tools Essentials: Android Studio to Zipalign. O'Reilly Media, Incorporated, 2013.

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35

Sharma, Manish. Cosmos DB for MongoDB Developers: Migrating to Azure Cosmos DB and Using the MongoDB API. Apress, 2018.

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36

Python API Development Fundamentals: Develop a Full-Stack Web Application with Python and Flask. Packt Publishing, Limited, 2019.

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37

Wallace, Marina. Building Telegram Bots: The Telegram Bot Api to Develop Bots by 12 Programming Languages. Independently Published, 2022.

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38

Modrzyk, Nicolas. Building Telegram Bots: Develop Bots in 12 Programming Languages using the Telegram Bot API. Apress, 2018.

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39

Khamashta, Munther A., Graham R. V. Hughes, and Guillermo Ruiz-Irastorza. Anti-phospholipid antibody syndrome. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0120.

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Анотація:
The anti-phospholipid syndrome (APS) described almost 30 years ago, is now recognized as a major cause of deep vein thrombosis, stroke, and heart attacks in young people (<45 years of age). It is also the commonest treatable cause of recurrent miscarriages and a major cause of late fetal death. Other clinical manifestations are cardiac valvular disease, livedo reticularis, renal thrombotic microangiopathy, thrombocytopenia, haemolytic anaemia, epilepsy, and cognitive impairment. The presence of anti-phospholipid antibodies (aPL) has been closely related to the development of thrombosis and complications in pregnancy. However, not all patients with aPL will develop the clinical features. Lupus anticoagulant is generally thought to be more strongly associated with the risk of clinical manifestations of APS than anticardiolipin and anti ?2-glycoprotein I antibodies. The exact pathogenic mechanisms leading to thrombosis and/or pregnancy morbidity are poorly understood. Therapy of thrombosis is based on long-term oral anti-coagulation and patients with arterial events should be treated aggressively. Obstetric care is based on combined medical-obstetric high-risk management and treatment with aspirin and heparin.
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40

Khamashta, Munther A., Graham R. V. Hughes, and Guillermo Ruiz-Irastorza. Anti-phospholipid antibody syndrome. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199642489.003.0120_update_001.

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Анотація:
The anti-phospholipid syndrome (APS) described almost 30 years ago, is now recognized as a major cause of deep vein thrombosis, stroke, and heart attacks in young people (<45 years of age). It is also the commonest treatable cause of recurrent miscarriages and a major cause of late fetal death. Other clinical manifestations are cardiac valvular disease, livedo reticularis, renal thrombotic microangiopathy, thrombocytopenia, haemolytic anaemia, epilepsy, and cognitive impairment. The presence of anti-phospholipid antibodies (aPL) has been closely related to the development of thrombosis and complications in pregnancy. However, not all patients with aPL will develop the clinical features. Lupus anticoagulant is generally thought to be more strongly associated with the risk of clinical manifestations of APS than anticardiolipin and anti ?2-glycoprotein I antibodies. The exact pathogenic mechanisms leading to thrombosis and/or pregnancy morbidity are poorly understood. Therapy of thrombosis is based on long-term oral anti-coagulation and patients with arterial events should be treated aggressively. Obstetric care is based on combined medical-obstetric high-risk management and treatment with aspirin and heparin.
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41

Press, Barry, Jerzy Kolinski, Ram Chary, and Andrew Henroid. Building the Power Efficient PC: A Developer's Guide to ACPI Power Management. Intel Press, 2001.

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42

Tebrake, James, Chima Simpson-Bell, Paul Austin, Alberto Sanchez, and Marco Marini. Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity. International Monetary Fund, 2021.

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43

Tebrake, James, Chima Simpson-Bell, Paul Austin, Alberto Sanchez, and Marco Marini. Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity. International Monetary Fund, 2021.

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44

Tebrake, James, Chima Simpson-Bell, Paul Austin, Alberto Sanchez, and Marco Marini. Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity. International Monetary Fund, 2021.

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45

Beginning Android Programming: Develop and Design. Peachpit Press, 2013.

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46

Jha, Vivekanand. Acute kidney injury in the tropics. Edited by Norbert Lameire. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0241.

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The spectrum of acute kidney injury (AKI) encountered in the hospitals of the tropical zone countries is different from that seen in the non-tropical climate countries, most of which are high-income countries. The difference is explained in large part by the influence of environment on the epidemiology of human disease. The key features of geographic regions falling in the tropical zones are climatic, that is, high temperatures and absence of winter frost, and economic, that is, lower levels of income. The causes and presentation of tropical AKI reflect these prevailing cultural, socioeconomic, climatic, and eco-biological characteristics.Peculiarities of tropical climate support the propagation of several infectious organisms that can cause AKI and the disease-transmitting vectors. In contrast to the developed world, where AKI usually develops in already hospitalized patients with multiorgan problems and iatrogenic factors play a major role, tropical AKI is acquired in the community due to issues of public health importance such as safe water, sanitation, infection control, and good obstetric practices. Infections such as malaria, leptospirosis, typhus, HIV, and diarrhoeal diseases; envenomation by animals or insects; ingestion of toxic herbs or chemicals; intravascular haemolysis; poisoning; and obstetric complications form the bulk of AKI in the tropics. Poor access to modern medical facilities and practices such as seeking treatment from traditional faith-healers contribute to poor outcomes.AKI extracts macro- and microeconomic costs from the affected population and reduces productivity. Improvement in the outcomes of tropical AKI requires improvement in basic public health through effective interventions, and accessibility to effective medical care.
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47

Subramanian, Harihara, and Pethuru Raj. Hands-On RESTful API Design Patterns and Best Practices: Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs. Packt Publishing, 2019.

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48

Grau, Josep M., and Esteban Poch. Pathophysiology and management of rhabdomyolysis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0355.

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Rhabdomyolysis is a potentially life-threatening syndrome characterized by the breakdown of skeletal muscle. It is associated with myalgia, muscle tenderness, swelling, and/or stiffness, accompanied by weakness and raised levels of creatine kinase (CK), myoglobin, phosphate and potassium, sometimes with acute kidney injury (AKI). There are multiple causes of this syndrome, traumatisms and myotoxic effect of drugs being the most frequent in developed countries. The pathophysiology involves direct trauma, as well as energy (ATP) depletion with disruption of sarcolemma integrity and muscle destruction. The sequestration of plasma water leads to hypovolaemic shock, while the release of muscle content, mainly myoglobin and potassium lead to the most severe complications of this syndrome, acute kidney injury/hyperkalaemia. The kidney injury is driven both by renal ischaemia due to vasoconstriction and to the toxic effects of myoglobin. The local oedema produced by the release of muscle content remains trapped within the fascia and can lead to compartment syndrome. Volume repletion with saline is essential to avoid hypovolaemic shock and acute kidney injury (AKI). With respect to compartment syndrome, close monitoring of clinical signs and compartment pressures is essential, since it can evolve to a surgical emergency. The prognosis of rhabdomyolysis is determined by age, baseline conditions and, most importantly, whether or not severe AKI develops.
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49

Lameire, Norbert. Prevention of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0224_update_001.

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Анотація:
The prevention of acute kidney injury (AKI) should start with an assessment of the risk to develop AKI, by identification of co-morbidities, use of potentially nephrotoxic medications, and early recognition of acute reversible risk factors associated with AKI. This chapter discusses first the most relevant general risk factors for AKI and describes the recent introduction of several surveillance systems. In addition, some specific risk factors play a role in the pathogenesis of post-cardiac surgery AKI. Finally risks associated with commonly used drugs such as non-steroidal anti-inflammatory drugs, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, statins, and warfarin are considered.
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50

Hoste, Eric A. J., John A. Kellum, and Norbert Lameire. Definitions, classification, epidemiology, and risk factors of acute kidney injury. Edited by Norbert Lameire. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0220_update_001.

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Анотація:
The lack of a precise biochemical definition of acute kidney injury (AKI) resulted in at least 35 definitions in the medical literature, which gave rise to a wide variation in reported incidence and clinical significance of AKI, impeded a meaningful comparison of studies.The first part of this chapter describes and discusses different definitions and classification systems of AKI. Patient outcome and the need for renal replacement therapy are directly related to the severity of AKI, an observation that supports the use of a categorical staging system rather than a simple binary descriptor. The severity of AKI is commonly characterized using the relative changes in serum creatinine and urine output. Recently introduced staging systems including the RIFLE classification and the Acute Kidney Injury Network (AKIN) use these relatively simple and readily available parameters allowing the assignment of individual patients to different AKI stages. More recently, a Kidney Disease: Improving Global Outcomes (KDIGO) workgroup developed a consensus-based AKI staging system drawing elements of both RIFLE and AKIN. The potential pitfalls and limitations of the proposed definitions and classifications are briefly described.The second part of the chapter describes the epidemiology of AKI in different clinical settings; the intensive care unit (ICU), the hospitalized population, and the community. The different spectrum of AKI in the emerging countries is discussed and the most important causes and aetiologies of the major clinical types of AKI, prerenal, renal, and post-renal are summarized in table form. Finally the patient survival and renal functional outcome of AKI are briefly discussed
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