9798296276308 - Python in Practice ? Volume IV: Data Science, Automation, and Intelligent Systems: 4 de Griebel, Michael (4 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Practical Solutions for Data-Driven Systems and Intelligent Automation with PythonThis fourth volume in the Python in Practice series expands the skills of experienced developers into the domains of data science, machine learning, workflow automation, and embedded systems. Building upon the foundational topics introduced in earlier volumes, this book offers hands-on insights into the modern tools and techniques required for data-intensive applications.From exploratory data analysis with Pandas and Jupyter to machine learning workflows using Scikit-learn and PyTorch, and from intelligent process automation with APIs and web scraping to IoT control and scalable ETL pipelines-each chapter addresses real-world challenges with practical Python solutions.Exploratory data analysis, time series modeling, and visualizationClassical and deep learning with PyTorch and Scikit-learnAutomation of files, formats, APIs, and emailsIoT integration and sensor-actuator controlEfficient ETL pipelines and high-performance computing with Dask and NumbaDesigned for developers, analysts, and engineers who aim to apply Python beyond scripts-toward scalable, intelligent systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Practical Solutions for Data-Driven Systems and Intelligent Automation with PythonThis fourth volume in the Python in Practice series expands the skills of experienced developers into the domains of data science, machine learning, workflow automation, and embedded systems. Building upon the foundational topics introduced in earlier volumes, this book offers hands-on insights into the modern tools and techniques required for data-intensive applications.From exploratory data analysis with Pandas and Jupyter to machine learning workflows using Scikit-learn and PyTorch, and from intelligent process automation with APIs and web scraping to IoT control and scalable ETL pipelines-each chapter addresses real-world challenges with practical Python solutions.Exploratory data analysis, time series modeling, and visualizationClassical and deep learning with PyTorch and Scikit-learnAutomation of files, formats, APIs, and emailsIoT integration and sensor-actuator controlEfficient ETL pipelines and high-performance computing with Dask and NumbaDesigned for developers, analysts, and engineers who aim to apply Python beyond scripts-toward scalable, intelligent systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.