Articoli correlati a High-Performance Quantitative Finance: Building Fast...
High-Performance Quantitative Finance: Building Fast Data Pipelines with Polars and DuckDB - Brossura
Sinossi
Reactive Publishing
High-Performance Quantitative Finance provides a practical, hands-on framework for financial engineers, quantitative analysts, and data scientists building modern analytical pipelines. As financial datasets continue to scale, legacy tools like Pandas and Excel often become primary bottlenecks in execution speed and memory management. This book demonstrates how to leverage Polars and DuckDB to process multi-gigabyte market datasets efficiently.
What You Will Learn:
High-Speed In-Memory Processing: Utilize Polars' lazy evaluation, query optimization, and native multi-threading for backtesting and signal generation.
Embedded Analytics with DuckDB: Execute fast, SQL-native analytical queries directly on local vector storage, Parquet files, and market data archives.
Memory-Efficient Data Architecture: Eliminate memory overhead and Out-Of-Memory (OOM) errors when handling tick data, order books, and time-series records.
Hybrid Workflows: Combine vector-based operations with relational queries to build resilient, maintainable quantitative software.
Whether you are optimizing risk metrics, executing high-throughput simulations, or modernizing legacy analytical scripts, this guide delivers the practical code patterns required for high-performance financial data engineering.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per High-Performance Quantitative Finance: Building Fast...
Foto dell'editore
High-Performance Quantitative Finance
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798190129922
Compra nuovo
EUR 48,11
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
High-Performance Quantitative Finance (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Reactive PublishingHigh-Performance Quantitative Finance provides a practical, hands-on framework for financial engineers, quantitative analysts, and data scientists building modern analytical pipelines. As financial datasets continue to scale, legacy tools like Pandas and Excel often become primary bottlenecks in execution speed and memory management. This book demonstrates how to leverage Polars and DuckDB to process multi-gigabyte market datasets efficiently.What You Will Learn: High-Speed In-Memory Processing: Utilize Polars' lazy evaluation, query optimization, and native multi-threading for backtesting and signal generation.Embedded Analytics with DuckDB: Execute fast, SQL-native analytical queries directly on local vector storage, Parquet files, and market data archives.Memory-Efficient Data Architecture: Eliminate memory overhead and Out-Of-Memory (OOM) errors when handling tick data, order books, and time-series records.Hybrid Workflows: Combine vector-based operations with relational queries to build resilient, maintainable quantitative software.Whether you are optimizing risk metrics, executing high-throughput simulations, or modernizing legacy analytical scripts, this guide delivers the practical code patterns required for high-performance financial data engineering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798190129922
Compra nuovo
EUR 48,46
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
High-Performance Quantitative Finance: Building Fast Data Pipelines with Polars and DuckDB
Print on DemandDa: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand. Codice articolo I-9798190129922
Compra nuovo
EUR 46,81
Spedizione EUR 2,67
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
High-Performance Quantitative Finance
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9798190129922
Compra nuovo
EUR 42,55
Spedizione EUR 7,01
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
High-Performance Quantitative Finance (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Reactive PublishingHigh-Performance Quantitative Finance provides a practical, hands-on framework for financial engineers, quantitative analysts, and data scientists building modern analytical pipelines. As financial datasets continue to scale, legacy tools like Pandas and Excel often become primary bottlenecks in execution speed and memory management. This book demonstrates how to leverage Polars and DuckDB to process multi-gigabyte market datasets efficiently.What You Will Learn: High-Speed In-Memory Processing: Utilize Polars' lazy evaluation, query optimization, and native multi-threading for backtesting and signal generation.Embedded Analytics with DuckDB: Execute fast, SQL-native analytical queries directly on local vector storage, Parquet files, and market data archives.Memory-Efficient Data Architecture: Eliminate memory overhead and Out-Of-Memory (OOM) errors when handling tick data, order books, and time-series records.Hybrid Workflows: Combine vector-based operations with relational queries to build resilient, maintainable quantitative software.Whether you are optimizing risk metrics, executing high-throughput simulations, or modernizing legacy analytical scripts, this guide delivers the practical code patterns required for high-performance financial data engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798190129922
Compra nuovo
EUR 47,35
Spedizione EUR 44,20
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
High-Performance Quantitative Finance : Building Fast Data Pipelines with Polars and DuckDB
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingHigh-Performance Quantitative Finance provides a practical, hands-on framework for financial engineers, quantitative analysts, and data scientists building modern analytical pipelines. As financial datasets continue to scale, legacy tools like Pandas and Excel often become primary bottlenecks in execution speed and memory management. This book demonstrates how to leverage Polars and DuckDB to process multi-gigabyte market datasets efficiently.What You Will Learn: - High-Speed In-Memory Processing: Utilize Polars' lazy evaluation, query optimization, and native multi-threading for backtesting and signal generation.- Embedded Analytics with DuckDB: Execute fast, SQL-native analytical queries directly on local vector storage, Parquet files, and market data archives.- Memory-Efficient Data Architecture: Eliminate memory overhead and Out-Of-Memory (OOM) errors when handling tick data, order books, and time-series records.- Hybrid Workflows: Combine vector-based operations with relational queries to build resilient, maintainable quantitative software.Whether you are optimizing risk metrics, executing high-throughput simulations, or modernizing legacy analytical scripts, this guide delivers the practical code patterns required for high-performance financial data engineering. Codice articolo 9798190129922
Compra nuovo
EUR 64,85
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili