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[null,"1.","Record Nr.",null,"UNISALENTO991000979639707536"]
[null,null,"Autore",null,"Szőkefalvi-Nagy, Béla"]
[null,null,"Titolo",null,"Hilbert space operators and operator algebras / edited by Bela Sz.-Nagy"]
[null,null,"Pubbl/distr/stampa",null,"[Budapest : János Bolyai Math. Soc. ; distributed by North-Holland, Amsterdam, [1972]"]
[null,null,"ISBN",null,"0720420601"]
[null,null,"Descrizione fisica",null,"544 p. ; 24 cm"]
[null,null,"Collana",null,"Colloquia mathematica Societatis Janos Bolyai, ISSN 01393383 ; 5"]
[null,null,"Classificazione",null,"AMS 46-06"]
[{"$nulls":4},"AMS 46B28"]
[{"$nulls":4},"AMS 46L80"]
[null,null,"Disciplina",null,"515.724"]
[null,null,"Soggetti",null,"Hilbert space - Congresses"]
[{"$nulls":4},"Operator algebras - Congresses"]
[{"$nulls":4},"Operator theory - Congresses"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Papers presented at a conference sponsored by the János Bolyai Mathematical Society, and held at Tihany, Hungary, Sept. 14-18, 1970"]
[{"$nulls":4},"Includes bibliographies"]
[null,"2.","Record Nr.",null,"UNISA996202934803316"]
[null,null,"Autore",null,"Smolin Edwin M"]
[null,null,"Titolo",null,"s-Triazines and derivatives [[electronic resource] /] / Edwin M. Smolin and Lorence Rapoport"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Interscience Publishers, 1959"]
[null,null,"ISBN",null,"1-282-30147-0"]
[{"$nulls":4},"9786612301476"]
[{"$nulls":4},"0-470-18662-3"]
[{"$nulls":4},"0-470-18812-X"]
[null,null,"Descrizione fisica",null,"1 online resource (670 p.)"]
[null,null,"Collana",null,"The chemistry of heterocyclic compounds ; ; 13"]
[null,null,"Disciplina",null,"547"]
[{"$nulls":4},"547/.59/05"]
[null,null,"Soggetti",null,"Triazines"]
[{"$nulls":4},"Heterocyclic compounds"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliography."]
[null,null,"Nota di contenuto",null,"s-Triazines and Derivatives; Contents; Introduction; I. General; II. s-Triazine; 1. General; 2. Synthesis; 3. Reactions; A. Salt Formation; B. Hydrolysis; C. Reaction with Hydrogen Chloride; D. Reaction with Amines; E. Reaction with Halogens; F. Reaction with Sodamide; G. Hydrogenation; H. Friedel-Crafts Reaction of s-Triazine and Its Hydrochloride Derivatives; I. Grignard Reaction; I. Cyanuric Acid and Derivatives; I. Introduction; II. Cyanuric Acid; 1. Historical; 2. Physical Properties; A. General; B. Density; C. Thermal Properties; D. Heat of Neutralization; E. Dissociation Constant"]
[{"$nulls":4},"F. Percentage Dissociated at 35°G. Conductivity; H. Viscosity and Density of Solutions; I. Specific Heat; J. Magnetic Susceptibility; K. Raman, Infrared, and Ultraviolet Spectra; L. Polarographic Behavior; M. Crystallography and Miscellaneous Properties; 3. Synthesis and Occurrence; A. Natural Occurrence; B. From Cyanuric Halides; C. Polymerization of Cyanic Acid; D. From Urea and Urea Derivatives; E. From Uric Acid; F. From Allophanates and Carbamyl Chlorides; G. From Carbonyl Diurethane and Carbethoxybiuret; H. From Formamide Electrolytically; I. From Acetoxamide"]
[{"$nulls":4},"J. From Carbaminothioglycolic Acid AnilideK. Miscellaneous Preparations; 4. Structure; 5. Salts of Cyanuric Acid; 6. Reactions of Cyanuric Acid; A. Hydrolysis; B. Reaction with Active Halogen "]
[{"$nulls":4},"Compounds; C. Thermal Action; D. Reaction with Ammonia; E. Esterification; F. Acetylation; G. Reaction with Fatty Acids; H. Reaction with α-Haloacids; I. Rearrangement .; 7. Applications of Cyanuric Acid; A. Physiological and Technical Significance; B. Melamine Formation; C. Rubber Manufacture; D. Resins; III. Cyanuric Halides; 1. Cyanuric Chloride; A. History; B. Physical Properties"]
[{"$nulls":4},"C. Synthetic Methods(1) From Cyanogen Chloride; (2) From Hydrocyanic Acid; (3) From Cyanuric Acid; (4) Miscellaneous Methods; D. Structure; E. Reactions; (1) Hydrolysis and Alcoholysis; (2) Reaction with Hydroxy Compounds; (3) Reaction with Amino Compounds; (4) Reaction with Sulfhydryl Compounds; (5) Reaction with Salts of Hydrazoic Acid; (6) Reaction with Silver Nitrate; (7) Grignard Reaction; (8) Wurtz-Fittig Reaction; (9) Friedel-Crafts Reaction; (10) Reaction with Carboxylic Acids and Salts; (11) Reaction with Malonic Ester; (12) Reaction with Hydriodic Acid; (13) Reduction"]
[{"$nulls":4},"(14) Reaction with BenzamideF. Physiological Properties; 2. Cyanuric Bromide; A. Synthesis; (1) Polymerization of Cyanogen Bromide; (2) From Bromine and Potassium Ferrocyanide; B. Reactions and Structure; (1) Hydrolysis; (2) Reaction with Amines; (3) With Acetic Acid; (4) Reaction with Urea; 3. Cyanuric Iodide; 4. Cyanuric Fluoride; 5. 2-Bromo-4,6-dichloro-s-triazine; 6. 2-Chloro-4,6-diiodo-s-triazine; IV. Cyanuric Acid Esters; 1. Alkyl Esters; A. Methyl Esters; (1) Trimethyl Ester; (2) Diethyl Ester; (3) Halomethoxy-s-triazines; (4) Mixed Methyl Esters; B. Ethyl Esters; (1) Triethyl Ester"]
[{"$nulls":4},"(2) Dimethyl Ester"]
[null,null,null,"Sommario/riassunto","Chemistry of Heterocyclic Compounds publishes articles, letters to the Editor, reviews, and minireviews on the synthesis, structure, reactivity, and biological activity of heterocyclic compounds including natural products. The journal covers investigations in heterocyclic chemistry taking place in scientific centers of all over the world, including extensively the scientific institutions in Russia, Ukraine, Latvia, Lithuania and Belarus."]
[null,"3.","Record Nr.",null,"UNINA9910300760303321"]
[null,null,"Autore",null,"Mukhopadhyay Sayan"]
[null,null,"Titolo",null,"Advanced Data Analytics Using Python : With Machine Learning, Deep Learning and NLP Examples / / by Sayan Mukhopadhyay"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018"]
[null,null,"ISBN",null,"9781484234501"]
[{"$nulls":4},"1484234502"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (195 pages)"]
[null,null,"Disciplina",null,"005.133"]
[null,null,"Soggetti",null,"Python (Computer program language)"]
[{"$nulls":4},"Big data"]
[{"$nulls":4},"Open source software"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Python"]
[{"$nulls":4},"Big Data"]
[{"$nulls":4},"Open Source"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Chapter 1: Introduction -- Chapter 2: ETL with Python -- Chapter 3: Supervised Learning with Python -- Chapter 4: Unsupervised Learning with Python -- Chapter 5: Deep Learning & Neural Networks -- Chapter 6: Time Series Analysis -- Chapter 7: Python in Emerging Technologies."]
[null,null,null,"Sommario/riassunto","Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You’ll also see examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. You will: Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL "]
[{"$nulls":4},"techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP."]