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Fast Python : high performance techniques for large datasets /
Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and si...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications,
[2023]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a22000007i 4500 | ||
|---|---|---|---|
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 230620s2023 nyua o 001 0 eng d | ||
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| 019 | |a 1382694703 | ||
| 020 | |a 9781617297939 |q (electronic bk.) | ||
| 020 | |a 1617297933 |q (electronic bk.) | ||
| 020 | |z 1617297933 | ||
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| 037 | |a 9781617297939 |b O'Reilly Media | ||
| 050 | 4 | |a QA76.73.P98 | |
| 082 | 0 | 4 | |a 005.13/3 |2 23/eng/20230620 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Antao, Tiago, |e author. |1 https://isni.org/isni/0000000068293330 | |
| 245 | 1 | 0 | |a Fast Python : |b high performance techniques for large datasets / |c Tiago Rodrigues Antão. |
| 264 | 1 | |a Shelter Island, NY : |b Manning Publications, |c [2023] | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 online resource (xviii, 283 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 520 | |a Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. | ||
| 505 | 0 | |a An urgent need for efficiency in data processing -- Extracting maximum performance from built-in features -- Concurrency, parallelism, and asynchronous processing -- High-performance NumPy -- Re-implementing critical code with Cython -- Memory hierarchy, storage, and networking -- High-performance pandas and Apache arrow -- Storing big data -- Data analysis using GPU computing -- Analyzing big data with Dask. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Electronic data processing. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Electronic data processing |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Antao, Tiago. |t Fast Python. |d Shelter Island, NY : Manning Publications, [2023] |z 9781617297939 |w (OCoLC)1289285628 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781617297939/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL7261437 | ||
| 994 | |a 92 |b IZTAP | ||