Introduction Psychophysics Python by Sengupta Rakesh (15 results)

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

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

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Paperback. Condition: Brand New. 138 pages. 9.18x6.12x9.21 inches. In Stock.

Condition: New. Dr. Rakesh Sengupta has been a researcher and Assistant Professor at School of Inter-woven Arts and Sciences, Krea University, Sri City, India since 2025, holding a PhD from the University of Hyderabad (2015). His interdisciplinary backg.

Paperback. Condition: new. Paperback. Introduction to Psychophysics with Python is a hands-on guide to exploring how we sense and perceive the worldpowered by modern Python programming. Bridging classical theory with todays computational tools, it equips students and researchers to design, run, and analyze psychophysical experiments with confidence.Starting from the foundations laid by Weber, Fechner, and Stevens, the book traces the evolution of psychophysics into contemporary practice. Readers gain a clear grounding in sensory physiology, experimental design, and statistical analysis, always tied to the central challenge: connecting physical stimuli to perceptual responses and making sense of the data.What sets this book apart is its practical, step-by-step approach. Through tutorials and annotated code using PsychoPy, readers learn Python essentialsloops, conditionals, data handlingwhile building real experiments. These skills extend seamlessly into advanced methods like curve fitting, bootstrapping, and statistical inference.Illustrated with intuitive explanations, diagrams, and thought-provoking exercises, the book blends conceptual clarity with real-world application. By the end, readers will not only understand the principles of psychophysics but also have the coding expertise to create and analyze their own experimentsopening the door to deeper insights into sensation and perception. Introduction to Psychophysics with Python bridges classical theories of sensation and perception with modern computational tools. Featuring tutorials, annotated PsychoPy code, and real-world examples, it equips readers to design, run, and analyze psychophysical experiments confidently. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Introduction to Psychophysics with Python is a hands-on guide to exploring how we sense and perceive the worldpowered by modern Python programming. Bridging classical theory with todays computational tools, it equips students and researchers to design, run, and analyze psychophysical experiments with confidence.Starting from the foundations laid by Weber, Fechner, and Stevens, the book traces the evolution of psychophysics into contemporary practice. Readers gain a clear grounding in sensory physiology, experimental design, and statistical analysis, always tied to the central challenge: connecting physical stimuli to perceptual responses and making sense of the data.What sets this book apart is its practical, step-by-step approach. Through tutorials and annotated code using PsychoPy, readers learn Python essentialsloops, conditionals, data handlingwhile building real experiments. These skills extend seamlessly into advanced methods like curve fitting, bootstrapping, and statistical inference.Illustrated with intuitive explanations, diagrams, and thought-provoking exercises, the book blends conceptual clarity with real-world application. By the end, readers will not only understand the principles of psychophysics but also have the coding expertise to create and analyze their own experimentsopening the door to deeper insights into sensation and perception. Introduction to Psychophysics with Python bridges classical theories of sensation and perception with modern computational tools. Featuring tutorials, annotated PsychoPy code, and real-world examples, it equips readers to design, run, and analyze psychophysical experiments confidently. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Introduction to Psychophysics with Python is a hands-on guide to exploring how we sense and perceive the worldpowered by modern Python programming. Bridging classical theory with todays computational tools, it equips students and researchers to design, run, and analyze psychophysical experiments with confidence.Starting from the foundations laid by Weber, Fechner, and Stevens, the book traces the evolution of psychophysics into contemporary practice. Readers gain a clear grounding in sensory physiology, experimental design, and statistical analysis, always tied to the central challenge: connecting physical stimuli to perceptual responses and making sense of the data.What sets this book apart is its practical, step-by-step approach. Through tutorials and annotated code using PsychoPy, readers learn Python essentialsloops, conditionals, data handlingwhile building real experiments. These skills extend seamlessly into advanced methods like curve fitting, bootstrapping, and statistical inference.Illustrated with intuitive explanations, diagrams, and thought-provoking exercises, the book blends conceptual clarity with real-world application. By the end, readers will not only understand the principles of psychophysics but also have the coding expertise to create and analyze their own experimentsopening the door to deeper insights into sensation and perception. Introduction to Psychophysics with Python bridges classical theories of sensation and perception with modern computational tools. Featuring tutorials, annotated PsychoPy code, and real-world examples, it equips readers to design, run, and analyze psychophysical experiments confidently. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…