Parallel Python with Dask
Make code reusable and deployed for high performance web apps
"Parallel Python with Dask" is not just a book for Python developers or data scientists. It's for anyone who wants to unlock the potential of parallel computing, whether you are a student, researcher, or professional. It also covers advanced topics like fault tolerance and scaling, essential for building robust and scalable parallel applications.
This book is available in multiple packages!
"Parallel Python with Dask" is not just a book for Python developers or data scientists. It's for anyone who wants to unlock the potential of parallel computing, whether you are a student, researcher, or professional. It also covers advanced topics like fault tolerance and scaling, essential for building robust and scalable parallel applications.
About
About the Book
Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data Scientists
Dask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its capabilities for machine learning and data analysis.
Across 10 chapters, you'll master Dask's fundamentals, architecture, and integration with Python's scientific computing ecosystem. Step-by-step tutorials demonstrate parallel mapping, task scheduling, and leveraging Dask arrays for NumPy workloads. You'll discover how Dask seamlessly scales Pandas, Scikit-Learn, PyTorch, and other libraries for large datasets.
Dedicated chapters explore scaling regression, classification, hyperparameter tuning, feature engineering, and more with clear examples. You'll also learn to tap into the power of GPUs with Dask, RAPIDS, and Google JAX for orders of magnitude speedups.
This book places special emphasis on practical use cases related to scalability and distributed computing. You'll learn Dask patterns for cluster computing, managing resources efficiently, and robust data pipelines. The advanced chapters on DaskML and deep learning showcase how to build scalable models with PyTorch and TensorFlow.
With this book, you'll gain practical skills to:
- Accelerate Python workloads with parallel mapping and task scheduling
- Speed up NumPy, Pandas, Scikit-Learn, PyTorch, and other libraries
- Build scalable machine learning pipelines for large datasets
- Leverage GPUs efficiently via Dask, RAPIDS and JAX
- Manage Dask clusters and workflows for distributed computing
- Streamline deep learning models with DaskML and DL frameworks
Packed with hands-on examples and expert insights, this book provides the complete toolkit to harness Dask's capabilities. It will empower Python programmers, data scientists, and machine learning engineers to achieve faster workflows and operationalize parallel computing.
Table of Content
- Introduction to Dask
- Dask Fundamentals
- Batch Data Parallel Processing with Dask
- Distributed Systems and Dask
- Advanced Dask: APIs and Building Blocks
- Dask with Pandas
- Dask with Scikit-learn
- Dask and PyTorch
- Dask with GPUs
- Scaling Machine Learning Projects with Dask
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All packages include the ebook in the following formats: PDF and EPUB
This Book Only
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Suggested price$29.99$29.99
This Book + Extras Downloadable (Google JAX Essentials)
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Suggested price$56.99This package consists of 2 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book.
$56.99
- Google JAX EssentialsQuick practical learning of blazing-fast library for machine learning and deep learning projects
This book is also available in the following packages:
This Book + Extras Downloadable (Learning Pandas 2.0)
This package consists of 2 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book.
- Learning Pandas 2.0A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
- Minimum price
- $56.99
- Suggested price
- $56.99
- Learning Pandas 2.0
This Book + Extras Downloadable (Google JAX Essentials + Learning Pandas 2.0)
This package consists of 3 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book.
- Google JAX EssentialsQuick practical learning of blazing-fast library for machine learning and deep learning projects
- Learning Pandas 2.0A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
- Minimum price
- $79.99
- Suggested price
- $79.99
- Google JAX Essentials
Author
About the Author
GitforGits | Asian Publishing House
We are the engineer’s publisher, the coder’s mentor, and the content alchemist—meticulously turning dense tech into practical gold. With a growing library of 100+ titles, we don’t just develop technical books, rather we build roadmaps for professionals across Python, MySQL, DevOps, Rust, AI, Kotlin, Arduino, Golang and everything around the massive IT ecosystem. Every chapter, every script, every project is a tool in the hands of developers who want to get things done.
Where others summarize, we construct step-by-step learning blueprints, cutting through clutter, banning the fluff, and ensuring every paragraph delivers hands-on value. Our audience isn’t learning from scratch—they’re leveling up with purpose, and we stand by them with code-first content, consistent project workflows, and a zero-redundancy approach.
Contents
Table of Contents
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