- Main
- Computers - Databases
- Data Science With Python And Dask
Data Science With Python And Dask
Jesse C. DanielAvez-vous aimé ce livre?
Quelle est la qualité du fichier téléchargé?
Veuillez télécharger le livre pour apprécier sa qualité
Quelle est la qualité des fichiers téléchargés?
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!
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.
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.
Catégories:
Année:
2019
Edition:
1
Editeur::
Manning Publications
Langue:
english
Pages:
296
ISBN 10:
1617295604
ISBN 13:
9781617295607
Fichier:
PDF, 8.07 MB
Vos balises:
IPFS:
CID , CID Blake2b
english, 2019
Lire en ligne
- Télécharger
- pdf 8.07 MB Current page
- Checking other formats...
Vous souhaitez ajouter une librairie ? Contactez-nous à support@z-lib.do
Le fichier sera envoyé à votre adresse de courriel dans 1 à 5 minutes.
Dans 1-5 minutes, le fichier sera delivré à votre compte Telegram.
Note : Assurez-vous que vous avez lié votre compte au bot Telegram de Z-Library.
Dans 1-5 minutes, le fichier sera delivré à votre appareil Kindle.
Remarque: vous devez valider chaque livre avant de l'envoyer à Kindle. Veuillez vérifier votre messagerie pour voir le mail avec la confirmation par Amazon Kindle Support.
La conversion en est effectuée
La conversion en a échoué
Avantages du statut Premium
- Envoyez aux e-lecteurs
- Limite de téléchargement augmentée
- Convertissez des fichiers
- Plus de résultats de recherche
- Autres avantages