High performance programming — parallel systems path (25 resultados)

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Paperback or Softback. Condición: New. Ultimate Parallel and Distributed Computing with Julia For Data Science. Book.

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unleash Julia's power: Code Your Data Stories, Shape Machine Intelligence!Book DescriptionThis book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.Table of Contents1. Julia In Data Science Arena2. Getting Started with Julia3. Features Assisting Scaling ML Projects4. Data Structures in Julia5. Working With Datasets In Julia6. Basics of Statistics7. Probability Data Distributions8. Framing Data in Julia9. Working on Data in DataFrames10. Visualizing Data in Julia11. Introducing Machine Learning in Julia12. Data and Models13. Bayesian Statistics and Modeling14. Parallel Computation in Julia15. Distributed Computation in JuliaIndex. …

Taschenbuch. Condición: Neu. Ultimate Parallel and Distributed Computing with Julia For Data Science | Nabanita Dash | Taschenbuch | Englisch | 2024 | Orange Education Pvt Ltd | EAN 9789391246860 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condición: Neu. Parallel and High Performance Programming with Python (2nd Edition) | Fabio Nelli | Taschenbuch | Englisch | 2026 | Orange Education Pvt Ltd | EAN 9789349887145 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unleash the Full Power of Python to Run Faster Code, Scale Smarter, and Compute Without Limits.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.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.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.…

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