Make models & graphs with Python, Blender and Matplotlib
Make models & graphs with Python, Blender and Matplotlib, available at $19.99, has an average rating of 4.25, with 121 lectures, based on 14 reviews, and has 165 subscribers.
You will learn about Code in the Python 3.5 programming language. Make games with Python. Create basic line and scatter plots with Matplotlib 1.5. Read finance data directly from Yahoo. Customise our graphs with visuals, a title, labels, text and a legend. Recognize types of visualization: histograms, pie charts, and box and whisker plots. Make candlestick plots. Understand basic 3D plotting. Navigate Blender. Create 32 3D models of different types of buildings. This course is ideal for individuals who are Beginners who want to learn to code for the web in the popular Python programming language. or Beginners who want to learn how to use data science to make graphs. or Experienced programmers who want to learn a 2D and 3D plotting library for Python. or Beginners who want to learn 3D modelling. or Intermediate 3D modelers who want to learn how to use Blender. or Game developers who need art assets for a game. It is particularly useful for Beginners who want to learn to code for the web in the popular Python programming language. or Beginners who want to learn how to use data science to make graphs. or Experienced programmers who want to learn a 2D and 3D plotting library for Python. or Beginners who want to learn 3D modelling. or Intermediate 3D modelers who want to learn how to use Blender. or Game developers who need art assets for a game.
Enroll now: Make models & graphs with Python, Blender and Matplotlib
Summary
Title: Make models & graphs with Python, Blender and Matplotlib
Price: $19.99
Average Rating: 4.25
Number of Lectures: 121
Number of Published Lectures: 121
Number of Curriculum Items: 121
Number of Published Curriculum Objects: 121
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Code in the Python 3.5 programming language.
- Make games with Python.
- Create basic line and scatter plots with Matplotlib 1.5.
- Read finance data directly from Yahoo.
- Customise our graphs with visuals, a title, labels, text and a legend.
- Recognize types of visualization: histograms, pie charts, and box and whisker plots.
- Make candlestick plots.
- Understand basic 3D plotting.
- Navigate Blender.
- Create 32 3D models of different types of buildings.
Who Should Attend
- Beginners who want to learn to code for the web in the popular Python programming language.
- Beginners who want to learn how to use data science to make graphs.
- Experienced programmers who want to learn a 2D and 3D plotting library for Python.
- Beginners who want to learn 3D modelling.
- Intermediate 3D modelers who want to learn how to use Blender.
- Game developers who need art assets for a game.
Target Audiences
- Beginners who want to learn to code for the web in the popular Python programming language.
- Beginners who want to learn how to use data science to make graphs.
- Experienced programmers who want to learn a 2D and 3D plotting library for Python.
- Beginners who want to learn 3D modelling.
- Intermediate 3D modelers who want to learn how to use Blender.
- Game developers who need art assets for a game.
Do you want to learn how to visualize data and get a start on making digital art?
You’ve come to the right place.
This course was funded by a wildly successful Kickstarter.
We begin with a complete introduction to coding.
- Learn how to use Python, a popular coding language used for websites like YouTube and Instagram.
- Learn the basics of programming, including topics like variables, functions, and if statements.
- Learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.
- Apply your knowledge to build a fully functional tic-tac-toe game.
- Learn classes, methods, attributes, instancing, and class inheritance.
- Make a Blackjack game
- Solve errors that can occur when you work as a programmer.
Then you take your Python knowledge and apply it to Matplotlib.We go over many cool features of Matplotlib that we can use for data visualization.
We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!
Digital artist Kevin Liao from Mammoth Interactive will teach you how to use Blender tomake low-poly art. You draw 32 3D models of buildings for use in game development or other creations of your choice.
This course is perfect for beginners. We begin with a thorough introduction to the Blender interface. Blender is a powerful (and free) program that can be used to make art assets. The art you make in Blender is easy to add to games or other projects. Even if you’re not an artist, you can make basic art models.
Why choose Mammoth Interactive?
We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experienceby building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.
When you have a free afternoon, spend it efficiently by learning a new skill that you can put on your resume, with a finished project you can add to your portfolio. Before you know it, your showcase will grow with all the projects that will have built up over time.
Taking daily steps to grow your toolkit will ensure that you remain a lifelong learner. As they say, there’s no such thing as a small step. Every action you take will impact the rest of your career.
You get full lifetime access to this course for a single fee. Enroll today to join the Mammoth community!
Course Curriculum
Chapter 1: Introduction to Python
Lecture 1: What is Python?
Chapter 2: Basic of Python Programming
Lecture 1: Variables
Lecture 2: Functions
Lecture 3: If Statements
Lecture 4: UPDATE! More Examples Through Code
Chapter 3: Introduction to Python Lists
Lecture 1: Lists
Chapter 4: Introduction to Python Loops
Lecture 1: *Examples* Using For Loops
Lecture 2: While Loops
Lecture 3: Breaking and Continuing In Loops
Lecture 4: Making Shapes with Loops
Lecture 5: Nest Loops, Printing & Tic Tac Toe
Chapter 5: Introduction to Sets and Dictionaries
Lecture 1: Understanding Sets and Dictionaries
Lecture 2: *Example* Inventory List
Chapter 6: Python Input and Output
Lecture 1: How to Implement Input and Output
Lecture 2: Integrating File Input and Output
Lecture 3: *Example* Tic Tac Toe Game Part 1
Lecture 4: *Example* Tic Tac Toe Game Part 2
Lecture 5: *Example* Writing Participant Data To File
Lecture 6: *Example* Reading Participant Data From File
Lecture 7: Doing Simple Statistics With Participant Data From File
Chapter 7: Introduction to Python Classes
Lecture 1: A First Look at Classes
Lecture 2: Inheritance and Classes
Lecture 3: *Classes Example* Using Pets
Lecture 4: *Classes Example* Using Pets – Dogs
Lecture 5: *Classes Example* Using Pets – Cats
Lecture 6: *Classes Example* Using Pets – Adding Humans
Lecture 7: UPDATE! More Examples Through Code
Chapter 8: Importing and 3 Libraries
Lecture 1: Introduction to Importing and the Random Library
Lecture 2: Another Way Of Importing and Using Lists with Random
Lecture 3: Using The Time Library
Lecture 4: Introduction to the Math Library
Lecture 5: *Example* Creating a User Guessing Game with Random
Lecture 6: Making the Computer Guess a Random Number
Chapter 9: *Project* Python Blackjack Game
Lecture 1: *Project* Creating and Shuffling a Deck
Lecture 2: *Project* Creating the Player Class
Lecture 3: *Project* Expanding the Player Class
Lecture 4: *Project* Implementing a Bet and Win
Lecture 5: *Project* Implementing Player Moves
Lecture 6: *Project* Running the Game
Chapter 10: Python Error Handling
Lecture 1: How to Handle Errors
Chapter 11: Make 2D & 3D Graphs with Matplotlib
Lecture 1: Installing Matplotlib
Lecture 2: Introduction to Matplotlib
Chapter 12: Matplotlib Basics
Lecture 1: Introduction, Setup, and Installation
Lecture 2: Creating our First Scatter Plot
Lecture 3: Line Plots
Chapter 13: Graph Customization
Lecture 1: Labels, Title, and a Legend
Lecture 2: Changing the Axis Ticks
Lecture 3: Adding Text into our Graph
Lecture 4: Annotating our Graph
Lecture 5: Changing Figure Size and Saving the Figure
Lecture 6: Changing the Axis Scales
Chapter 14: More Advanced Matplotlib Plots
Lecture 1: Creating Histograms
Lecture 2: Creating Histograms Continued
Lecture 3: Changing Histogram Types
Lecture 4: Bar Plots
Lecture 5: Stack Plots
Lecture 6: Pie Charts
Lecture 7: Box and Whisker Plots
Chapter 15: Finance Graphs
Lecture 1: Creating Figures and Subplots
Lecture 2: Getting and Parsing CSV Data for Plotting
Lecture 3: Creating a Candlestick Plot
Lecture 4: Setting Dates for our Candlestick Plot
Lecture 5: Reading Data directly from Yahoo
Lecture 6: Customizing our OHLC Graph
Chapter 16: Advanced Graph Customization
Lecture 1: Adding Grids
Lecture 2: Closer Look at Tick Labels
Lecture 3: Customizing Grid Lines
Lecture 4: Live Graphs
Lecture 5: Styles and rcParameters
Lecture 6: Sharing an X-axis between Two Plots
Lecture 7: Setting Axis Spines
Lecture 8: Creating multiple axes in our figure
Lecture 9: Creating multiple axes in our figure (continued)
Lecture 10: Plotting into the multiple axes
Lecture 11: Plotting into the multiple axes (continued)
Chapter 17: 3D Plotting
Lecture 1: Getting Started with 3D Plotting
Lecture 2: Surface plots and Colormaps
Lecture 3: Wireframes and Contour plots
Lecture 4: Stacks of histograms and text for 3D plotting
Chapter 18: Getting Started with Blender
Lecture 1: Download and Install Blender
Lecture 2: Introduction and Setting Changes
Lecture 3: Camera Controls
Instructors
-
Mammoth Interactive
Top-Rated Instructor, 3.3 Million+ Students -
John Bura
Best Selling Instructor Web/App/Game Developer 1Mil Students
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 5 votes
- 5 stars: 5 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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