Calculus Unlocked with Python (Paperback)

Swati Niranjan

ISBN 13: 9798262049806

Published by Independently Published, 2025

About this Item

Paperback. Calculus Unlocked with Python A Hands-On Guide to Mastering Calculus with Code "Where calculus meets Python-and your future career." Calculus Unlocked with Python blends classical mathematics with modern computation, helping you master calculus concepts while building essential coding skills. Using Python's powerful libraries-SymPy, NumPy, and Matplotlib-you'll not only learn the theory but also solve, visualize, and apply problems interactively.Highlights include: Full coverage of limits, derivatives, integrals, multivariable functions, and differential equations.200+ solved problems with Python code for hands-on learning.Step-by-step treatment of linear equations and matrices, solved using Python.Advanced multivariable topics: Lagrange multipliers, Jacobian, and Hessian matrices for optimization and system analysis.Practical applications in physics, engineering, economics, biology, AI, and data science.Rich visualizations that turn abstract formulas into intuitive insights.Designed for students, educators, and professionals alike, this book equips you with career-ready skills by bridging mathematical reasoning with computational power. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798262049806

Bibliographic Details

• Title: Calculus Unlocked with Python (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798262049806
• Binding: Paperback
• Condition: new

About this title

Synopsis

Calculus Unlocked with Python

A Hands-On Guide to Mastering Calculus with Code

“Where calculus meets Python—and your future career.”

Calculus Unlocked with Python blends classical mathematics with modern computation, helping you master calculus concepts while building essential coding skills. Using Python’s powerful libraries—SymPy, NumPy, and Matplotlib—you’ll not only learn the theory but also solve, visualize, and apply problems interactively.
Highlights include:

• Full coverage of limits, derivatives, integrals, multivariable functions, and differential equations.
• 200+ solved problems with Python code for hands-on learning.
• Step-by-step treatment of linear equations and matrices, solved using Python.
• Advanced multivariable topics: Lagrange multipliers, Jacobian, and Hessian matrices for optimization and system analysis.
• Practical applications in physics, engineering, economics, biology, AI, and data science.
• Rich visualizations that turn abstract formulas into intuitive insights.

Designed for students, educators, and professionals alike, this book equips you with career-ready skills by bridging mathematical reasoning with computational power.