00923cam0 2200241 450 E60020002969420201029105832.020070928d1948 |||||ita|0103 baitaIT<<I >>Normanni nell'Italia MeridionaleParte 1La conquistaCorso ufficiale di Storia medievale per l'anno accademico 1947-48Appunti presi dalle lezioni del prof. Ernesto PontieriNapoliLibreria Scientifica Editrice1948216 p.22 cmPontieri, ErnestoA600200039104070319489ITUNISOB20201029RICAUNISOBUNISOB90077470E600200029694M 102 Monografia moderna SBNM900002755Si77470acquistopregresso3UNISOBUNISOB20070928085237.020201029105832.0rovitoNormanni nell'Italia Meridionale544300UNISOB05022nam 2200589 a 450 991100717210332120240312142648.09781523151370152315137497818018177761801817774(CKB)4900000001023637(MiAaPQ)EBC6921553(Au-PeEL)EBL6921553(OCoLC)1306240707(OCoLC-P)1306240707(PPN)262553546(FR-PaCSA)88929008(CaSebORM)9781801814010(DE-B1597)695268(DE-B1597)9781801817776(FRCYB88929008)88929008(EXLCZ)99490000000102363720221022d2022 fy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Python Programming accelerate your python programs using proven techniques and design patterns /Quan NguyenSecond edition.Birmingham, United Kingdom:Packt Publishing, Limited,[2022]©20221 online resource (xxiv, 576 pages) illustrations9781801814010 1801814015 Includes bibliographical references and index.Table of Contents Benchmarking and Profiling Pure Python Optimizations Fast Array Operations with NumPy and Pandas C Performance with Cython Exploring Compilers Automatic Differentiation and Accelerated Linear Algebra for Machine Learning Implementing Concurrency Parallel Processing Concurrent Web Requests Concurrent Image Processing Building Communication Channels with asyncio Deadlocks Starvation Race Conditions The Global Interpreter Lock The Factory Pattern The Builder Pattern Other Creational Patterns The Adapter Pattern The Decorator Pattern The Bridge Pattern The Façade Pattern Other Structural Patterns The Chain of Responsibility Pattern The Command Pattern The Observer Pattern."Write fast, robust, and highly reusable applications using Python's internal optimization, state-of-the-art performance-benchmarking tools, and cutting-edge libraries Key Features Benchmark, profile, and accelerate Python programs using optimization tools Scale applications to multiple processors with concurrent programming Make applications robust and reusable using effective design patterns Book Description Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases. What you will learn Write efficient numerical code with NumPy, pandas, and Xarray Use Cython and Numba to achieve native performance Find bottlenecks in your Python code using profilers Optimize your machine learning models with JAX Implement multithreaded, multiprocessing, and asynchronous programs Solve common problems in concurrent programming, such as deadlocks Tackle architecture challenges with design patterns Who this book is for This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects."--Provided by publisher.Python (Computer program language)Application softwareDevelopmentPython (Computer program language)Application softwareDevelopment.005.72Nguyễn Quân1822972MiAaPQMiAaPQMiAaPQBOOK9911007172103321Advanced Python Programming4389427UNINA01752nam 22004933 450 991102082650332120250819080502.01-04-039590-21-04-039594-51-003-47658-9(MiAaPQ)EBC32077114(Au-PeEL)EBL32077114(CKB)40345912500041(OCoLC)1534207461(NjHacI)9940345912500041(EXLCZ)994034591250004120250819d2025 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInternational Perspectives on Science, Culture, and Belief From Complexity to Globality1st ed.Oxford :Taylor & Francis Group,2025.©2025.1 online resource (291 pages)1-03-276006-0 This innovative and timely collection revisits, challenges and rethinks longstanding assumptions by decentring positions and perspectives that have until recently dominated discussions of science and belief, and explores the social and cultural drivers of the relationships between evolutionary science and belief.Religion and scienceReligion and scienceHistoryReligion and science.Religion and scienceHistory.201/.65Elsdon-Baker Fern1844854Jones Stephen H311184Riley James834122MiAaPQMiAaPQMiAaPQBOOK9911020826503321International Perspectives on Science, Culture, and Belief4428054UNINA