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Record Nr. |
UNISA996389146003316 |
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Autore |
Toy John <1611-1663.> |
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Titolo |
VVorcester's elegie, and eulogie. By I.T. Mr. of Arts [[electronic resource]] |
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Pubbl/distr/stampa |
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London, : Printed by Tho. Cotes, for Humphry Blunden, at his shop, at the Castle in Cornehill, 1638 |
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Descrizione fisica |
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Soggetti |
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Worcester (England) Poetry Early works to 1800 |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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I.T. = John Toy, whose name appears on [sec.]1r. |
In verse. |
Signatures: Aâ´ (A2 + [sec.]â´) B-Eâ´ G² . |
"VVorcester's eulogie" has separate dated title page; register is continuous. |
Reproduction of the original in Harvard University. Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9911006510003321 |
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Titolo |
Composites / / edited by Maya J. John, Thomas Sabu |
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Pubbl/distr/stampa |
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Cambridge, : RSC Pub., 2012 |
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ISBN |
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1-62198-706-X |
1-84973-519-0 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (369 p.) |
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Collana |
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RSC green chemistry, , 1757-7039 ; ; no. 16 |
Natural polymers ; ; v. 1 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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9781849734028_Publicity; 9781849734028 |
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Sommario/riassunto |
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In the search for sustainable materials, natural polymers present an attractive alternative for many applications compared to their synthetic counterparts derived from petrochemicals. The two volume set, Natural Polymers, covers the synthesis, characterisation and applications of key natural polymeric systems including their morphology, structure, dynamics and properties. Volume one focuses on natural polymer composites, including both natural and protein fibres, and volume two on natural polymer nanocomposites. The first volume examines the characterization, life cycle assessment and new sour |
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3. |
Record Nr. |
UNINA9911049220803321 |
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Autore |
Vasi Sebastiano |
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Titolo |
Open Source Tools for Physics Data Analysis : An Introduction / / by Sebastiano Vasi, Ulderico Wanderlingh, Giuseppe Mandaglio |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (272 pages) |
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Collana |
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Undergraduate Texts in Physics, , 2510-4128 |
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Disciplina |
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Soggetti |
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Mathematical physics |
Computer simulation |
Open source software |
Quantitative research |
Computational Physics and Simulations |
Open Source |
Data Analysis and Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Operative systems and Linux Shells -- Rudimental in programming -- Why Object Oriented programming -- Analysis Framework -- Data elaboration and visualization -- Experimental data acquisition and analysis. |
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Sommario/riassunto |
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This textbook aims to provide computing skills to analyze data collected by means of several types of experiments. Generally speaking, the analysis of data is complementary to experimental and/or theoretical activities, but, as a matter of fact, a fundamental part of the training process in scientific degree courses (such as physics, mathematics, chemistry, biology, and engineering) consists in different laboratory activities, collecting data and then analyzing and interpreting them. Different analysis tools are available for this purpose, including commercial and open-sources ones. Some of them allow to analyze data in a user-friendly manner, and it can be helpful for the first approach for a student to a data analysis problem, but, at the same time, it represents a limit on the real possibility that students can achieve by using the computation potentiality offered by a good |
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knowledge of programming languages. For this reason, at least a computing course is generally present in scientific degree courses, as well as in experimental laboratories in which part of the training time is devoted to analyze and visualize data. Part of the book is devoted to furnish the rudiments of programming in C++, Python, and other open-source languages. In the second part, Root, a powerful and open-source data analysis framework, and the universe of the Python libraries will be introduced as a complete tool for data analysis, as well as their application and examples regarding physics experiments performed in laboratories. |
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