Fast Python for Data Science: High Performance Techniques for Large Datasets - Tapa blanda

Antao, Tiago

 
9781617297939: Fast Python for Data Science: High Performance Techniques for Large Datasets
Tapa blanda
ISBN 10: 1617297933 ISBN 13: 9781617297939
Editorial: Manning Publications, 2023

Sinopsis

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together.


Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level 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.

About the technology
Fast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

 

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Tiago Antao works in the field of genetics, analyzing very large datasets and implementing complex algorithms to process the data. He leverages Python with all its libraries to do scientific computing and data engineering tasks. He is one of the co-authors of Biopython, a major bioinformatics package written in Python. He holds a BE in informatics and a PhD in bioinformatics.

De la contraportada

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together.

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 lower-level 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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Manning Publications
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1617297933
ISBN 13 
9781617297939
Encuadernación
Tapa blanda
Número de páginas
375
Contacto del fabricante
no disponible
Persona responsable
no disponible