Verwandte Artikel zu Data Science with Python and Dask
Inhaltsangabe
Summary
Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work!
You'll find registration instructions inside the print book.
About the Technology
An efficient data pipeline means everything for the success of a data science project. Dask is a flexible library for parallel computing in Python that makes it easy to build intuitive workflows for ingesting and analyzing large, distributed datasets. Dask provides dynamic task scheduling and parallel collections that extend the functionality of NumPy, Pandas, and Scikit-learn, enabling users to scale their code from a single laptop to a cluster of hundreds of machines with ease.
About the Book
Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.
What's inside
- Working with large, structured and unstructured datasets
- Visualization with Seaborn and Datashader
- Implementing your own algorithms
- Building distributed apps with Dask Distributed
- Packaging and deploying Dask apps
About the Reader
For data scientists and developers with experience using Python and the PyData stack.
About the Author
Jesse Daniel is an experienced Python developer. He taught Python for Data Science at the University of Denver and leads a team of data scientists at a Denver-based media technology company.
Table of Contents
- PART 1 - The Building Blocks of scalable computing
- Why scalable computing matters
- Introducing Dask PART 2 - Working with Structured Data using Dask DataFrames
- Introducing Dask DataFrames
- Loading data into DataFrames
- Cleaning and transforming DataFrames
- Summarizing and analyzing DataFrames
- Visualizing DataFrames with Seaborn
- Visualizing location data with Datashader PART 3 - Extending and deploying Dask
- Working with Bags and Arrays
- Machine learning with Dask-ML
- Scaling and deploying Dask
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Jesse Daniel is an experienced Python developer. He taught Python for Data Science at the University of Denver and leads a team of data scientists at a Denver-based media technology company.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Data Science with Python and Dask
Beispielbild für diese ISBN
Data Science with Python and Dask
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G1617295604I3N00
Gebraucht kaufen
EUR 24,16
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 1 verfügbar
Foto des Verkäufers
Data Science at Scale with Python and Dask
Anbieter: Rarewaves USA, HEBRON, KY, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader's analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course. Artikel-Nr. LU-9781617295607
Beispielbild für diese ISBN
Data Science at Scale With Python and Dask
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 400. Artikel-Nr. 370286762
Neu kaufen
EUR 46,38
EUR 7,79 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Data Science with Python and Dask
Anbieter: medimops, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Artikel-Nr. M01617295604-G
Gebraucht kaufen
EUR 44,18
EUR 10,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Data Science at Scale with Python and Dask
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. PB-9781617295607
Neu kaufen
EUR 48,39
EUR 6,02 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 15 verfügbar
Beispielbild für diese ISBN
Data Science at Scale with Python and Dask
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABBB-3186
Beispielbild für diese ISBN
Data Science at Scale with Python and Dask (Book)
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABBB-23405
Beispielbild für diese ISBN
Data Science at Scale with Python and Dask (Book)
Anbieter: SMASS Sellers, IRVING, TX, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. Artikel-Nr. SNTNB-23405
Foto des Verkäufers
Data Science at Scale with Python and Dask
Anbieter: Rarewaves USA United, HEBRON, KY, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: New. Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader's analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course. Artikel-Nr. LU-9781617295607
Neu kaufen
EUR 47,50
EUR 44,62 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 10 verfügbar
Foto des Verkäufers
Data Science at Scale with Python and Dask
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. SummaryDask is a native parallel analytics tool designed to integrate seamlessly with the libraries you re already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you alr. Artikel-Nr. 257185086
Neu kaufen
EUR 53,73
EUR 48,99 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: Mehr als 20 verfügbar