Procedurally generated scenes with Blender, Python NumPy
- DESIGN
- Feb 05, 2025

Procedurally generated scenes with Blender, Python & NumPy, available at $34.99, has an average rating of 4.4, with 43 lectures, based on 5 reviews, and has 46 subscribers.
You will learn about How to Use NumPy to create coordinates in a 3D space How to procedurally generate a terrain with random features How to create a forest by using the beta distribution How to use a parametric formula to generate town Import external models Export the scene to use it in Godot This course is ideal for individuals who are 3D designers or programmers who want to automate tasks to create complex 3D scenes. It is particularly useful for 3D designers or programmers who want to automate tasks to create complex 3D scenes.
Enroll now: Procedurally generated scenes with Blender, Python & NumPy
Summary
Title: Procedurally generated scenes with Blender, Python & NumPy
Price: $34.99
Average Rating: 4.4
Number of Lectures: 43
Number of Published Lectures: 43
Number of Curriculum Items: 43
Number of Published Curriculum Objects: 43
Original Price: $59.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Hello and welcome.
If you are a designer or developer who is interested in creating scenes automatically with unique features and the ability to use them in an external application, this course is for you.
This course focuses on creating multiple Python scripts that will help us create a scene with a variety of elements in it.
For this, we will use Blender and its scripting section where we will use Python and the NumPy library.
With NumPy, we will use multiple of its function to generate multiple sequences of numbers that will help us to create 3D coordinates.
These coordinates will be used to create a terrain, a forest and a little town.
This course may be attractive to you because it can help you save time when you are designing scenes with the ability to add your custom elements to the script.
In addition, you will have access to the content created during the course.
I hope you find the content useful and that you can apply it to your personal projects.
Have fun and happy learning.
In this course you will learn:
How to Use NumPy to create coordinates in a 3D space.
How to procedurally generate a terrain with random features.
How to create a forest by using the beta distribution.
How to use a parametric formula to generate town.
Import external models.
Export the scene to use it in Godot.
You will require:
Blender 3.X.
Be familiar with Python or basic programing. You can follow the videos if you don’t have any experience.
Optionally Godot to import the Blender scene.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Basic Scripting
Lecture 1: Set up working area
Lecture 2: Executing the code
Lecture 3: Working with NumPy
Lecture 4: Working with np.arange
Lecture 5: Working with np.linspace
Lecture 6: Working with np.repeat
Lecture 7: Arrays with multiple dimensions
Lecture 8: Working with np.hstack
Lecture 9: Working with np.random
Lecture 10: Using mathematical operations
Lecture 11: Sine wave
Chapter 3: Terrain generator
Lecture 1: Creating the terrain
Lecture 2: Random reliefs
Lecture 3: Hills. Pt 1
Lecture 4: Hills. Pt 2
Lecture 5: Hills. Pt 3
Chapter 4: Forest generator
Lecture 1: Beta distibution
Lecture 2: Forest width
Lecture 3: Centering the forest
Chapter 5: Town generator
Lecture 1: Parametric circle equation
Lecture 2: Circle size
Lecture 3: Circle location
Chapter 6: Importing external models
Lecture 1: Importing the model
Lecture 2: Creating multiple instances
Chapter 7: Merging code snippets
Lecture 1: Merging the terrain and forest scripts
Lecture 2: Merging the town script
Lecture 3: Merging the import script
Chapter 8: Adjusting the details
Lecture 1: Working with shrinkwrap
Lecture 2: Custom look at function
Lecture 3: Custom random direction
Lecture 4: Random size
Lecture 5: Adding a custom material
Lecture 6: Adding random models
Lecture 7: Random positions for the houses
Lecture 8: Removing duplicate positions
Lecture 9: Removing near models
Lecture 10: Removing overlapping house
Chapter 9: Extra – Exporting the scene
Lecture 1: Exporting to glTF
Lecture 2: Importing into Godot
Chapter 10: Extra – Creating the 3D models
Lecture 1: Modeling a tree
Lecture 2: Modeling a house
Chapter 11: End
Lecture 1: Final message
Instructors

Oscar Villarreal
Software developer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
- Random Picks
- Popular
- Hot Reviews
- Joomla- Create a Joomla Website This Weekend With NO CODING!
- Fundamental Analysis Value Investing for Beginners-Level 1
- Digital Marketing Analytics - The Beginners Guide
- UX Writing
- Digital Marketing For Non-Profits Charities
- Life Insurance Annuity Ultimate Buyer’s Guide
- Crypto Trading Mastery (Scalping, Day trading, price action)
- Dibuja y Esculpe tu COVID para Impresión 3d en Blender 2.8X
- 1YouTube Masterclass The Best Guide to YouTube Success
- 2Photoshop CC- Adjustement Layers, Blending Modes Masks
- 3Personal Finance
- 4SolidWorks Essential Training ( 2023 2024 )
- 5The Architecture of Oscar Niemeyer
- 6Advanced Photoshop Manipulations Tutorials Bundle
- 7Polymer Clay Jewelry Making Techniques for Beginners
- 8SEO for Web Developers
- 1Linux Performance Monitoring Analysis Hands On !!
- 2Content Writing Mastery 1- Content Writing For Beginners
- 3Media Training for PrintOnline Interviews-Get Great Quotes
- 4Learn Facebook Ads from Scratch Get more Leads and Sales
- 5The Complete Digital Marketing Course Learn From Scratch
- 6C#- Start programming with C# (for complete beginners)
- 7[FREE] How to code 10 times faster with Emmet
- 8Driving Results through Data Storytelling