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Introduction to Python

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  1. The Course

    Meet the Instructors
  2. Introduction to the Course
  3. Introduction
    Why Python?
    1 Quiz
  4. Introduction to IDEs
    1 Quiz
  5. Introduction to Colab
    1 Quiz
  6. Important Concepts
    Program/Script
    1 Quiz
  7. Variable
    1 Quiz
  8. Bug
    1 Quiz
  9. Design Philosophy
  10. Interpreted Language
    1 Quiz
  11. Dynamic Typing
    1 Quiz
  12. Dynamic Typing - practical
    1 Quiz
  13. Indentation to define blocks
    1 Quiz
  14. Indentation - practical
    1 Quiz
  15. Object-Oriented Programming
    1 Quiz
  16. Object-Oriented - practical
    1 Quiz
  17. Important Concepts - recap
  18. Basic Syntax
    Data Types
    1 Quiz
  19. Arithmetic Operators
    1 Quiz
  20. Comparison Operators
    1 Quiz
  21. Logical Operators
    1 Quiz
  22. Assignment Operators
    1 Quiz
  23. Membership & Identity Operators
    1 Quiz
  24. Basic Data Structure
    Lists
    1 Quiz
  25. Lists - practical
    1 Quiz
  26. Tuples
    1 Quiz
  27. Tuples - practical
    1 Quiz
  28. Dictionaries
    1 Quiz
  29. Dictionaries - practical
    1 Quiz
  30. Control Flow
    Conditionals
    1 Quiz
  31. Conditionals - practical
    1 Quiz
  32. Loops
    1 Quiz
  33. Loops: "for" - practical
    1 Quiz
  34. Loops: "while" - practical
    1 Quiz
  35. Tools
    1 Quiz
  36. Tools - practical
    1 Quiz
  37. Functions
    Why do we use functions?
    1 Quiz
  38. User-defined Functions
    1 Quiz
  39. Naming Conventions
    1 Quiz
  40. Pre-defined functions - practical
    1 Quiz
  41. User-defined Functions - practical: 3 basic examples
    1 Quiz
  42. User-defined Functions - practical: Moments of Inertia
  43. User-defined Functions - practical: Total Drag Force
  44. User-defined Functions - practical: Reynolds Number
  45. User-defined Functions - practical: Buoyant Force
  46. User-defined Functions - practical: Total Resistance
  47. User-defined Functions - practical: Skin Friction Coefficient
  48. User-defined Functions - practical: Hull Speed
  49. Basic File Handling
    Introduction to Basic File Handling
    1 Quiz
  50. Basic File Handling - practical
    1 Quiz
  51. Classes
    What is a Class?
    1 Quiz
  52. Why do we use Classes?
    1 Quiz
  53. Anatomy of a Class
    1 Quiz
  54. Naming Conventions
    1 Quiz
  55. Class Objects
    1 Quiz
  56. Instance Objects
    1 Quiz
  57. Instance Methods
    1 Quiz
  58. Class Recap
  59. Classes - practical: General
    1 Quiz
  60. Classes - practical: Dataset without Classes
  61. Classes - practical: Dataset with Classes
    1 Quiz
  62. Packages and Modules
    Modules: what are they and how do you create and import them?
    1 Quiz
  63. How do we share the data and code?
    1 Quiz
  64. Accessing Google Drive from Google Colab
    1 Quiz
  65. Modules - practical
    1 Quiz
  66. Packages: what are they and how do you create and import them?
    1 Quiz
  67. Packages - practical: General
    1 Quiz
  68. Packages - practical: Naval Engineering job
  69. Python Standard Library
    1 Quiz
  70. Python Standard Library - practical
    1 Quiz
  71. Popular Packages
    1 Quiz
  72. Popular Packages - practical: Numpy, Matplotlib
    1 Quiz
  73. Popular Packages - practical: SciPy, SymPy, Pytorch
    1 Quiz
  74. Final Assignment - Capstone Project
    Final Assignment (mandatory)
  75. Exercise 1
  76. Exercise 2
  77. Exercise 3
  78. Exercises 4 and 5
  79. Course Materials
    Course Materials
  80. Course Survey
    Course Evaluation Survey
    1 Quiz
  81. Summary
    Wrap-up
Lesson 1 of 81
In Progress

Meet the Instructors

Hello and welcome!

We are three PhD students from Universidad Politécnica de Madrid (Polytechnic University of Madrid).

My name is Javier Capel. I’m an aeronautical engineer from Universidad Politécnica de Madrid. My work involves computational methods, specifically computational fluid dynamics. As part of my thesis, I’m working on enhancing turbulence models using machine learning tools, all powered by Python.

My name is Antonio Medina. I’m a naval architect from Universidad Politécnica de Madrid. My expertise lies in experimental campaigns and data processing, particularly in floating systems. I develop various applications to compute the results of experimental campaigns. I use Python daily for my PhD, where I apply machine learning tools to predict the response of floating offshore wind turbines.

Hi, I’m Andrés Pastor Sánchez, also a naval architect from Universidad Politécnica de Madrid. I’m passionate about Python programming. I’ve been working on developing some Python libraries, and my thesis is about creating a digital twin that involves machine-learning models to enhance predictions and simulations.

Together, we are excited to bring you our comprehensive Python programming course. It is designed for beginners and covers everything you need to start coding in Python.

We’ll begin with an introduction to Google Colab, a powerful and user-friendly online coding environment. We’ll then explore the popularity of Python, its basic syntax, and core data structures to learn about control flow, functions, classes, and file handling. You will also delve into models which are essential for organizing your code.

Finally, you will work on a Capstone project that utilizes a vast dataset of parametrized hull geometries. You will learn to manage big data and compute various quantities of interest, applying stability theory and fluid dynamics.

By the end of this course, you’ll have a solid foundation in Python programming and be ready to tackle more advanced topics.

We can’t wait to share our knowledge and help you in your journey to become a proficient Python programmer!

See you in the course! See you soon!