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...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications
[2023]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009752718806719 |
Tabla de Contenidos:
- 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.
