Join us on a literary world trip!
Add this book to bookshelf
Grey
Write a new comment Default profile 50px
Grey
Subscribe to read the full book or read the first pages for free!
All characters reduced
Parallel and High Performance Programming with Python (2nd Edition) - Transform Your Python Code into a High-Performance Powerhouse Using Multithreading CUDA PyTorch Spark and Dask - cover

Parallel and High Performance Programming with Python (2nd Edition) - Transform Your Python Code into a High-Performance Powerhouse Using Multithreading CUDA PyTorch Spark and Dask

Fabio Nelli

Publisher: Orange Education Pvt Ltd

  • 0
  • 0
  • 0

Summary

Unleash the Full Power of Python to Run Faster Code, Scale Smarter, and Compute Without Limits.Key Features● Get a free one-month digital subscription to www.avaskillshelf.com● Master end-to-end Python parallelism from multithreading and multiprocessing to distributed computing on GPUs, clusters, and the cloud.● Accelerate real-world workloads using cutting-edge frameworks like Ray, Dask, PyTorch, Spark, Modin, Joblib, and CUDA.● Deploy high-performance pipelines at scale with Kubernetes, serverless computing, FPGAs, and emerging quantum acceleration techniques.Book DescriptionPython is the backbone for data science, AI, and cloud computing and the demand for speed and scalability has never been higher. That’s why mastering parallel and high-performance programming is essential to transform Python into a tool that meets modern performance demands.Building on the success of the first edition, Parallel and High Performance Programming with Python (2nd Edition) expands and modernizes the original work, adding new frameworks, deployment patterns, and acceleration techniques for next-generation computing.You’ll begin by mastering the core concepts of parallelism, threading, and multiprocessing, then move into asynchronous programming for responsive and efficient workloads. The book guides you through distributed Python across clusters, followed by deep dives into GPU acceleration using CUDA and PyTorch. You’ll explore real-world applications in data science and artificial intelligence, and learn how to scale pipelines seamlessly with Ray, Modin, and Spark.Advanced chapters introduce Joblib optimization, Kubernetes, and serverless scaling for cloud-native workloads, and cutting-edge topics such as FPGA acceleration and quantum computing, giving you a future-ready performance toolkit. Packed with hands-on examples, benchmarks, and deployment-ready best practices, this second edition helps you turn everyday Python into a high-performance, production-grade system.What you will learn● Design and optimize high-performance Python applications using parallelism, concurrency, and async patterns.● Profile, diagnose, and eliminate CPU, I/O, and memory bottlenecks for real-world workloads.● Accelerate compute-intensive tasks using CUDA kernels, PyTorch tensors, NumPy vectorization, and GPU-enabled deep learning workflows.● Build and scale distributed systems seamlessly with Dask, Ray, Apache Spark, and Modin for massive data processing.● Deploy and orchestrate compute pipelines on Kubernetes, AWS Lambda, and Azure Functions for cost-efficient scalability.● Integrate advanced acceleration technologies like Joblib, FPGA workflows, and quantum simulation frameworks to stay ahead of the curve.Who is This Book For?This book is tailored for data scientists, machine learning engineers, Python developers, and backend programmers who need to boost performance and scalability in their applications. It also serves data and cloud engineers, DevOps/MLOps professionals, HPC specialists, and distributed systems developers building high-throughput pipelines. Technical architects, research engineers, and quantitative analysts will find advanced design patterns to optimize workloads across CPUs, GPUs, clusters, FPGAs, and serverless or quantum environments.Table of Contents1. Introduction to Parallel Programming2. Parallel Programming with Threads3. Parallel Programming with Processes4. Asynchronous Programming5. Distributed Python6. GPU Programming with Python7. Parallel Computing Applications8. Parallel Computing for Data Science9. Parallel Computing for Artificial Intelligence10. Future of Parallel Programming11. Modern Frameworks for Parallelism and Distribution: Ray and Modin12. PySpark13. Joblib14. Parallelization on Cloud and Serverless Systems15. Parallel Programming with FPGAs16. Introduction to Quantum Computing and Quantum Architectures       Index
Available since: 02/05/2026.
Print length: 471 pages.

Other books that might interest you

  • From Faith to Fact - How Science Near-Death Experiences and Scripture All Point to the Same Truth - cover

    From Faith to Fact - How Science...

    Tim Howard

    • 0
    • 0
    • 0
    "What if faith and evidence are not enemies— but echoes of the same truth?" 
    For centuries, science and faith have been portrayed as rivals. Tim Howard argues they never were. 
    In From Faith to Fact, Howard weaves quantum physics, near-death experience testimony, and biblical Scripture into a single breathtaking convergence — revealing what may be the most urgent discovery of our time: that the universe science is uncovering looks remarkably like the one the Bible described all along. 
    Consciousness survives death. Light is the architecture of reality. And God may be closer to the findings of modern physics than either scientists or theologians have dared to admit. 
    A book for skeptics who demand evidence, seekers who sense there is more, and believers who want their faith grounded in fact.
    Show book
  • Deep Learning for Beginners: 2 in 1 - cover

    Deep Learning for Beginners: 2 in 1

    Steven Cooper

    • 0
    • 0
    • 0
    2 books in 1! This is the bundle of two successful books in the market.Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:•	Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. •	The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. •	The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. •	The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity.•	And much more...Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn:•	In depth information about what data science is and why it is important.•	The prerequisites you will need to get started in data science.•	What it means to be a data scientist.•	The roles that hacking and coding play in data science.•	The different coding languages that can be used in data science.•	Why python is so important.•	How to use linear algebra and statistics.•	The different applications for data science.•	How to work with the data through munging and cleaning•	And much more...Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
    Show book
  • Penetration Testing Threat Hunting and Cryptography - Mastering Cybersecurity - cover

    Penetration Testing Threat...

    Virversity Online Courses

    • 0
    • 0
    • 0
    Penetration testing is a vital skill in today's cybersecurity landscape, offering immense value in safeguarding digital assets. This course provides a comprehensive introduction to penetration testing, equipping students with the knowledge and skills to identify and address security vulnerabilities effectively.Master The Fundamentals Of Penetration Testing  - Understand core concepts and methodologies.  - Learn to identify and exploit security vulnerabilities.  - Gain hands-on experience with industry-standard tools.  - Enhance your cybersecurity skills.  - Prepare for a career in cybersecurity or advance your current role.Course Overview:  This course offers an in-depth introduction to essential penetration testing concepts. Students will explore methodologies used in the field, providing a solid foundation for further specialization. Participants will learn to identify and exploit vulnerabilities within various systems, preparing them for real-world applications.A key benefit of this course is the hands-on experience with industry-standard tools crucial for performing effective penetration tests. By simulating cyber attacks, students gain insight into potential threats and learn how to counteract them.The course enhances existing cybersecurity skills, ideal for those entering the field or looking to advance. The knowledge gained aids in both identifying vulnerabilities and implementing robust security measures to protect digital assets.Upon completion, students will transform their understanding of cybersecurity and be better equipped to handle modern digital security challenges. This expertise empowers them to contribute effectively to any organization's cybersecurity efforts, ensuring digital assets remain secure against evolving threats.
    Show book
  • AI and Creativity - Where AI systems are used to produce artistic and creative works? - cover

    AI and Creativity - Where AI...

    Chuck Sherman

    • 0
    • 0
    • 0
    This groundbreaking book unravels the intricate tapestry of artificial intelligence's influence on the creative process, revealing a world where algorithms compose mesmerizing music, craft captivating stories, and paint vivid canvases. 
    Step into a future where AI is no longer confined to mere calculations, but serves as a muse, sparking a renaissance of human ingenuity. As the digital brushstrokes of AI-generated paintings blur the lines between pixels and pigments, and AI-composed symphonies resonate with haunting melodies, a new form of creativity emerges—one that challenges our understanding of what it means to be an artist. 
    Delve into the fascinating stories of painters who collaborate with algorithms, writers who co-author with AI, and musicians who harmonize with neural networks. Witness the astonishing results of this fusion, as the boundaries of imagination are pushed to new frontiers. But amidst the marvel, questions arise: Can a machine truly create art? Is AI a tool or an artist in its own right? 
    Book navigates these inquiries with thought-provoking insights, exploring the ethical dilemmas and copyright quandaries that arise in this brave new world. Venture into uncharted territory, where AI ignites inspiration and collaboration, challenging long-held beliefs about the creative process. This book delves into the very essence of creativity, offering a glimpse into a future where machines and humans dance in a harmonious choreography of innovation. 
     
    Show book
  • Cracking the Modern PM Interview - Landing a Product Management Job in Today’s Tech Market - cover

    Cracking the Modern PM Interview...

    Alex Trottier

    • 0
    • 0
    • 0
    Cracking the Modern PM Interview is an essential guide for aspiring and experienced product managers navigating today’s highly competitive job market. This book provides a deep dive into the modern expectations for product management, from mastering Product-Led Growth (PLG) strategies and setting effective OKRs to building cross-functional collaboration skills and tackling technical interview challenges. Covering all stages of the hiring process, it teaches readers how to communicate with clarity, lead with vision, and showcase the adaptability that top tech companies demand. 
    The book includes actionable insights for demonstrating your value as a product manager, addressing questions about AI, remote work, and sustainability, and preparing for complex scenarios that come up in real-world product management. Designed to help you stand out in every interview, Cracking the Modern PM Interview offers strategies for both entry-level and senior product roles, including how to rise to director or CPO positions. With real-world examples, key frameworks like the STARR method, and detailed guidance on resumes, cover letters, and pitching yourself, this book is packed with everything you need to advance your product management career and secure a role in today’s tech landscape. 
    Perfect for anyone aiming to stay ahead, whether they are breaking into product management or seeking career advancement, this guide equips readers with the essential tools to navigate and excel in modern product manager interviews.
    Show book
  • Bring Me Back Home New Orleans - N A - cover

    Bring Me Back Home New Orleans -...

    Asia Briana Brown

    • 0
    • 0
    • 0
    “Dear New Orleans, I miss you. Crescent City, I love you.” On August 29, 2005, Hurricane Katrina devastated a number of homes and communities, scattering families as they sought refuge. Bring Me Back Home, New Orleans, is a Katrina survivor’s story of loss told through poetry, a reflection on home, and an ode to New Orleans.
    Show book