LEADER 05022nam 2200589 a 450 001 9911007172103321 005 20240312142648.0 010 $a9781523151370 010 $a1523151374 010 $a9781801817776 010 $a1801817774 035 $a(CKB)4900000001023637 035 $a(MiAaPQ)EBC6921553 035 $a(Au-PeEL)EBL6921553 035 $a(OCoLC)1306240707 035 $a(OCoLC-P)1306240707 035 $a(PPN)262553546 035 $a(FR-PaCSA)88929008 035 $a(CaSebORM)9781801814010 035 $a(DE-B1597)695268 035 $a(DE-B1597)9781801817776 035 $a(FRCYB88929008)88929008 035 $a(EXLCZ)994900000001023637 100 $a20221022d2022 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Python Programming $eaccelerate your python programs using proven techniques and design patterns /$fQuan Nguyen 205 $aSecond edition. 210 1$aBirmingham, United Kingdom:$cPackt Publishing, Limited,$d[2022] 210 4$dİ2022 215 $a1 online resource (xxiv, 576 pages) $cillustrations 311 08$a9781801814010 311 08$a1801814015 320 $aIncludes bibliographical references and index. 327 $aTable 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 Fac?ade Pattern Other Structural Patterns The Chain of Responsibility Pattern The Command Pattern The Observer Pattern. 330 8 $a"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."--$cProvided by publisher. 606 $aPython (Computer program language) 606 $aApplication software$xDevelopment 615 0$aPython (Computer program language) 615 0$aApplication software$xDevelopment. 676 $a005.72 700 $aNguye??n$b Qua?n$01822972 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007172103321 996 $aAdvanced Python Programming$94389427 997 $aUNINA