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Modeling and simulation in Python : an introduction for scientists and engineers / by Allen B. Downey.

By: Material type: TextTextPublication details: San Francisco : No Starch Press, 2023.Description: xix, 248 pages : illustrations ; 23 cmISBN:
  • 9781718502161
Subject(s): LOC classification:
  • (SIET-IE) QA76.9.C65 2023 D748
Contents:
Modeling -- Bike share system -- Iteration -- Sweeping parameters -- World population -- Proportional growth -- Limits to growth -- Projecting population growth -- Analysis of population growth -- Case studies part 1 -- Epidemiology -- Modeling vaccination -- Sweeping parameters -- Nondimensionalization -- Cooling coffee -- Adding milk -- Pharmacokinetics -- Glucose and insulin -- Case studies part 2 -- Pennies -- Drag -- Baseball -- Optimization -- Rotation -- Torque -- Case studies part 3.
Summary: "Teaches the art of describing and simulating real-world systems using Python. Learn to model discrete systems, like a bike-sharing network, as well as first-order systems, like a coffee cup as it cools down, and second-order systems, like projectiles moving through space. Each chapter features hands-on examples and exercises"-- Provided by publisher.
List(s) this item appears in: Industrial Engineering, Bachelor of Science in
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Holdings
Item type Current library Call number Status Barcode
Books Books Foundation University Library Circulation (SIET-IE) QA76.9.C65 2023 D748 (Browse shelf(Opens below)) Available 0272025003003

Includes bibliographical references and index.

Modeling -- Bike share system -- Iteration -- Sweeping parameters -- World population -- Proportional growth -- Limits to growth -- Projecting population growth -- Analysis of population growth -- Case studies part 1 -- Epidemiology -- Modeling vaccination -- Sweeping parameters -- Nondimensionalization -- Cooling coffee -- Adding milk -- Pharmacokinetics -- Glucose and insulin -- Case studies part 2 -- Pennies -- Drag -- Baseball -- Optimization -- Rotation -- Torque -- Case studies part 3.

"Teaches the art of describing and simulating real-world systems using Python. Learn to model discrete systems, like a bike-sharing network, as well as first-order systems, like a coffee cup as it cools down, and second-order systems, like projectiles moving through space. Each chapter features hands-on examples and exercises"-- Provided by publisher.

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