Advanced Python programming :: build high performance, concurrent, and multi-threaded apps with Python using proven design patterns /
"Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with r...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2019.
|
| Schriftenreihe: | Learning path.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with real-world examples Book Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: ? Python High Performance - Second Edition by Gabriele Lanaro ? Mastering Concurrency in Python by Quan Nguyen ? Mastering Python Design Patterns by Sakis Kasampalis What you will learn Use NumPy and pandas to import and manipulate datasets Achieve native performance with Cython and Numba Write asynchronous code using asyncio and RxPy Design highly scalable programs with application scaffolding Explore abstract methods to maintain data consistency Clone objects using the prototype pattern Use the adapter pattern to make incompatible interfaces compatible Employ the strategy pattern to dynamically choose an algorithm Who this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path." -- Publisher's description. |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 183855369X 9781838553692 |
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| illustrated | Illustrated |
| indexdate | 2024-10-25T15:50:14Z |
| institution | BVB |
| isbn | 183855369X 9781838553692 |
| language | English |
| oclc_num | 1098198105 |
| open_access_boolean | |
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| owner_facet | MAIN |
| physical | 1 online resource (1 volume) : illustrations |
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| series | Learning path. |
| series2 | Learning path |
| spelling | Lanaro, Gabriele, author. http://id.loc.gov/authorities/names/no2014097042 Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis. Birmingham, UK : Packt Publishing, 2019. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Learning path Online resource; title from title page (Safari, viewed April 22, 2019). Includes bibliographical references. "Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurately implement concurrency in your code Gain practical experience of Python design patterns with real-world examples Book Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: ? Python High Performance - Second Edition by Gabriele Lanaro ? Mastering Concurrency in Python by Quan Nguyen ? Mastering Python Design Patterns by Sakis Kasampalis What you will learn Use NumPy and pandas to import and manipulate datasets Achieve native performance with Cython and Numba Write asynchronous code using asyncio and RxPy Design highly scalable programs with application scaffolding Explore abstract methods to maintain data consistency Clone objects using the prototype pattern Use the adapter pattern to make incompatible interfaces compatible Employ the strategy pattern to dynamically choose an algorithm Who this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path." -- Publisher's description. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Logiciels d'application Développement. Application software Development fast Python (Computer program language) fast Nguyen, Quan, author. Kasampalis, Sakis, author. has work: Advanced Python programming (Text) https://id.oclc.org/worldcat/entity/E39PCGCKcTdxcWBfk8FrKRd6Dq https://id.oclc.org/worldcat/ontology/hasWork Learning path. http://id.loc.gov/authorities/names/no2018038408 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2037513 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2037513 Volltext |
| spellingShingle | Lanaro, Gabriele Nguyen, Quan Kasampalis, Sakis Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / Learning path. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Logiciels d'application Développement. Application software Development fast Python (Computer program language) fast |
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| title | Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / |
| title_auth | Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / |
| title_exact_search | Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / |
| title_full | Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis. |
| title_fullStr | Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis. |
| title_full_unstemmed | Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis. |
| title_short | Advanced Python programming : |
| title_sort | advanced python programming build high performance concurrent and multi threaded apps with python using proven design patterns |
| title_sub | build high performance, concurrent, and multi-threaded apps with Python using proven design patterns / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Logiciels d'application Développement. Application software Development fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Application software Development. Python (Langage de programmation) Logiciels d'application Développement. Application software Development |
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