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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 2 of 81
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Introduction to the Course

Welcome to our Introduction to Python course!

Whether you are completely new to programming or looking to sharpen your skills, this course is designed just for you.

Python is one of the most popular programming languages in the world and is renowned for its simplicity and versatility. It’s used in data science, automation, web development, and even machine learning.

Our course starts with the basics, introducing you to Python and the powerful Google Colab platform. Getting started has never been easier. No installation is required!

We assume you have no prior programming experience.

We will cover essential concepts like variables, bugs, dynamic typing, and more. You will learn the basic syntax and explore data types, operators, and data structures such as lists, tuples, and dictionaries.

Control flow is a vital part of programming. We will teach you how to use conditionals, loops, and control flow tools to make your code more efficient and dynamic.

You will master functions, both predefined and user-defined, to organize your code and enhance its reusability. You will also learn how to read from and write to files, which is crucial for handling data in real-world applications.

Diving into object-oriented programming will show you how to define classes, work with attributes and methods, and apply these concepts to practical examples.

You will understand the power of modules and packages and learn to create, import, and utilize them effectively with practical examples from naval engineering.

We will introduce you to popular Python libraries like NumPy, Pandas, Scipy, and Pytorch, expanding your toolkit for data analysis and machine learning.

The highlight of our course is the final project, where you will apply everything you’ve learned to manage and analyze an extensive dataset of 10,000 parametrized hull geometries. You will learn how to clean the dataset, analyze it, and extract valuable insights.

By the end of this course, you will have a solid foundation in Python programming and be ready to tackle more advanced projects and applications.

Join us and start your Python journey today. We provide all course materials, including the code and the documentation, to ensure your success.

Don’t miss this opportunity to learn one of the most practical and popular programming languages in the world and open a new world of possibilities!