Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing
2019
|
| Series: | Learning path
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781838551216/?ar |
| Summary: | "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. |
| Item Description: | Includes bibliographical references. - Online resource; title from title page (Safari, viewed April 22, 2019) |
| Physical Description: | 1 online resource (1 volume) illustrations |
| ISBN: | 183855369X 9781838553692 9781838551216 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047733934 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120711.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2019 xx |||||o 00| ||eng c | ||
| 020 | |a 183855369X |9 1-83855-369-X | ||
| 020 | |a 9781838553692 |c electronic bk. |9 978-1-83855-369-2 | ||
| 020 | |a 9781838551216 |9 978-1-83855-121-6 | ||
| 035 | |a (DE-627-1)047733934 | ||
| 035 | |a (DE-599)KEP047733934 | ||
| 035 | |a (ORHE)9781838551216 | ||
| 035 | |a (DE-627-1)047733934 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.72 | |
| 100 | 1 | |a Lanaro, Gabriele |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Advanced Python programming |b build high performance, concurrent, and multi-threaded apps with Python using proven design patterns |c Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis |
| 264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2019 | |
| 300 | |a 1 online resource (1 volume) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Learning path | |
| 500 | |a Includes bibliographical references. - Online resource; title from title page (Safari, viewed April 22, 2019) | ||
| 520 | |a "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. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Application software |x Development | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a Logiciels d'application ; Développement | |
| 650 | 4 | |a Application software ; Development | |
| 650 | 4 | |a Python (Computer program language) | |
| 700 | 1 | |a Nguyen, Quan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kasampalis, Sakis |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781838551216/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-047733934 |
|---|---|
| _version_ | 1833357065954787329 |
| adam_text | |
| any_adam_object | |
| author | Lanaro, Gabriele Nguyen, Quan Kasampalis, Sakis |
| author_facet | Lanaro, Gabriele Nguyen, Quan Kasampalis, Sakis |
| author_role | aut aut aut |
| author_sort | Lanaro, Gabriele |
| author_variant | g l gl q n qn s k sk |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047733934 (DE-599)KEP047733934 (ORHE)9781838551216 |
| dewey-full | 005.72 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.72 |
| dewey-search | 005.72 |
| dewey-sort | 15.72 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04073cam a22004692c 4500</leader><controlfield tag="001">ZDB-30-ORH-047733934</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120711.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">183855369X</subfield><subfield code="9">1-83855-369-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838553692</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-83855-369-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781838551216</subfield><subfield code="9">978-1-83855-121-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047733934</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047733934</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781838551216</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047733934</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.72</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lanaro, Gabriele</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advanced Python programming</subfield><subfield code="b">build high performance, concurrent, and multi-threaded apps with Python using proven design patterns</subfield><subfield code="c">Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Learning path</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references. - Online resource; title from title page (Safari, viewed April 22, 2019)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"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.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application software</subfield><subfield code="x">Development</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logiciels d'application ; Développement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software ; Development</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nguyen, Quan</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kasampalis, Sakis</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781838551216/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-047733934 |
| illustrated | Illustrated |
| indexdate | 2025-05-28T09:45:46Z |
| institution | BVB |
| isbn | 183855369X 9781838553692 9781838551216 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (1 volume) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt Publishing |
| record_format | marc |
| series2 | Learning path |
| spelling | Lanaro, Gabriele VerfasserIn aut 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 Computermedien c rdamedia Online-Ressource cr rdacarrier Learning path Includes bibliographical references. - Online resource; title from title page (Safari, viewed April 22, 2019) "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) Application software Development Python (Langage de programmation) Logiciels d'application ; Développement Application software ; Development Nguyen, Quan VerfasserIn aut Kasampalis, Sakis VerfasserIn aut |
| spellingShingle | Lanaro, Gabriele Nguyen, Quan Kasampalis, Sakis Advanced Python programming build high performance, concurrent, and multi-threaded apps with Python using proven design patterns Python (Computer program language) Application software Development Python (Langage de programmation) Logiciels d'application ; Développement Application software ; Development |
| 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) Application software Development Python (Langage de programmation) Logiciels d'application ; Développement Application software ; Development |
| topic_facet | Python (Computer program language) Application software Development Python (Langage de programmation) Logiciels d'application ; Développement Application software ; Development |
| work_keys_str_mv | AT lanarogabriele advancedpythonprogrammingbuildhighperformanceconcurrentandmultithreadedappswithpythonusingprovendesignpatterns AT nguyenquan advancedpythonprogrammingbuildhighperformanceconcurrentandmultithreadedappswithpythonusingprovendesignpatterns AT kasampalissakis advancedpythonprogrammingbuildhighperformanceconcurrentandmultithreadedappswithpythonusingprovendesignpatterns |