Doing Math with Python

El principio básico de la presencia efectiva y rentable en internet es contar con un blog profesional, cuya finalidad es posicionar al autor como el experto número uno a nivel global en el tema que desarrolla, es el corazón del plan de marketing en línea.

Contenidos del curso

MÓDULO 1. Working with Numbers

Lecciones

  • 1 Basic Mathematical Operations
  • 2 Labels: Attaching Names to Numbers
  • 3 Different Kinds of Numbers
  • 4 Getting User Input
  • 5 Writting Programs That Do the Math for You
  • 6 What You Learned

MÓDULO 2. Visualizing Data with Graphs

Lecciones

  • 7 Understanding the Cartesian Coordinate Plane
  • 8 Working with Lists and Tuples
  • 9 Creating Graphs with Matplotlib
  • 10 Plotting with Formulas
  • 11 What you Learned

MÓDULO 3. Describing Data with Statistics

Lecciones

  • 12 Finding the Mean
  • 13 Finding the Median
  • 14 Finding the Mode and Creating a Frecuency Table
  • 15 Measuring the Dispersion
  • 16 Calculating the Correlation Between Two Data Sets
  • 17 Scatter Plots
  • 18 Reading Data from Files
  • 19 What you Learned

MÓDULO 4. Algebra and Symbolic Math with Sympy

Lecciones

  • 20 Defining Symbols and Symbolic Operations
  • 21 Working with Expressions
  • 22 Solving Equations
  • 23 Plotting Using SymPy
  • 24 What You Learned

MÓDULO 5. Playing with Sets and Probability

Lecciones

  • 25 What´s a Set?
  • 26 Probability
  • 27 What You Learned

MÓDULO 6. Drawing Geometric Shapes and Fractals

Lecciones

  • 28 What is a Drawing Geometric Shapes with Matplotlib´s Patches
  • 29 Drawing Fractals
  • 30 What you Learned

MÓDULO 7. Solving Calculus Problems

Lecciones

  • 31 What is a Function?
  • 32 Assumptions in Sympy
  • 33 Finding the Limit of Functions
  • 34 Higher-Order Derivatives and Finding the Maxima and Minima
  • 35 Finding the Global Maximum Using Gradient Ascent
  • 36 Finding the Integrals of Functions
  • 37 Probability Density Functions
  • 38 What you Learned