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Python Math Module Essentials: Trigonometry, Logarithms, and Constants - 1769704232288 Course - Online Learning with Certificate
Python Math Module Essentials: Trigonometry, Logarithms, and Constants - 1769704232288

Python Math Module Essentials: Trigonometry, Logarithms, and Constants - 1769704232288

This course distills the essentials of Python's math module, focusing on trigonometric functions, logarithmic operations, and mathematical constants. …Show more
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1 modules 1 modules
Interactive environment Interactive environment
51 chapters 51 chapters
AI Assistant AI Assistant
52 assignments 52 assignments
Shareable Certificate Shareable Certificate

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Outcomes
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Related courses
Testimonials
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FAQs

Course content

This course distills the essentials of Python's math module, focusing on trigonometric functions, logarithmic operations, and mathematical constants. Learners will gain hands-on experience us…
Introduction to Functions
Jupyter Notebook Basics
Implementing Basic Functions in Python
Algebraic Functions
Implementing Identity-Quadratic Functions in Python
Implementing Rational Functions in Python
Challenge: Maximizing Profit Using Quadratic Functions
Transcendental Functions
Implementing Exponential-Log Functions in Python
Implementing Sinusoidal-Tangent Functions in Python
Introduction to Sets
Implementing Sets in Python
Challenge: Customer Segmentation Using Sets
Introduction to Series
Implementing Series in Python
Challenge: Predicting Savings Growth
Introduction to Limits
Implementing Limits in Python
Introductions to Derivatives
Implementing Derivatives to Python
Introduction to Integrals
Implementing Integrals in Python
Introductions to Partial Derivatives
Implementing Partial Derivatives in Python
Gradient Descent
Implementing Gradient Descent in Python
Challenge: Fitting a Line with Gradient Descent
Introductions to Vectors
Implementing Vectors in Python
Matrix Operations
Matrix Operations in Python
Introduction to Matrix Transformations
Implementing Matrix Transformation in Python
Challenge: Combined Transformations of a Vector
Introduction to Matrix Decomposition
Implementing Matrix Decomposition in Python
Challenge: Solving a Linear System with LU Decomposition
Introduction to Eigenvectors & Eigenvalues
Implementing Eigenvectors & Eigenvalues in Python
Understanding Probability Basics
Implementing Probability Basics in Python
Understanding Conditional Probability & Bayes' Theorem
Implementing Conditional Probability & Bayes' Theorem in Python
Understading Sampling
Implementing Sampling to Python
Understanding Central Tendency & Spread
Implementing Spread in Python
Challenge: Quality Control Probability Analysis
Understanding Probability Distributions
Implementing Probability Distributions to Python
Challenge: Quality Control Sampling
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