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    Make Models & Graphs With Python, Blender And Matplotlib

    Posted By: ELK1nG
    Make Models & Graphs With Python, Blender And Matplotlib

    Make Models & Graphs With Python, Blender And Matplotlib
    Last updated 2/2019
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 28.65 GB | Duration: 35h 42m

    Learn to code in Python, visualize data with Matplotlib, and make low poly 3D art in Blender! Learn popular software!

    What you'll 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.
    Requirements
    Anaconda, which comes with Python, pandas, and Matplotlib
    Topics involve intermediate math, so familiarity with university-level math is very helpful.
    Blender
    Description
    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 gameSolve 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 to make 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 experience by 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!

    Overview

    Section 1: Introduction to Python

    Lecture 1 What is Python?

    Section 2: Basic of Python Programming

    Lecture 2 Variables

    Lecture 3 Functions

    Lecture 4 If Statements

    Lecture 5 UPDATE! More Examples Through Code

    Section 3: Introduction to Python Lists

    Lecture 6 Lists

    Section 4: Introduction to Python Loops

    Lecture 7 *Examples* Using For Loops

    Lecture 8 While Loops

    Lecture 9 Breaking and Continuing In Loops

    Lecture 10 Making Shapes with Loops

    Lecture 11 Nest Loops, Printing & Tic Tac Toe

    Section 5: Introduction to Sets and Dictionaries

    Lecture 12 Understanding Sets and Dictionaries

    Lecture 13 *Example* Inventory List

    Section 6: Python Input and Output

    Lecture 14 How to Implement Input and Output

    Lecture 15 Integrating File Input and Output

    Lecture 16 *Example* Tic Tac Toe Game Part 1

    Lecture 17 *Example* Tic Tac Toe Game Part 2

    Lecture 18 *Example* Writing Participant Data To File

    Lecture 19 *Example* Reading Participant Data From File

    Lecture 20 Doing Simple Statistics With Participant Data From File

    Section 7: Introduction to Python Classes

    Lecture 21 A First Look at Classes

    Lecture 22 Inheritance and Classes

    Lecture 23 *Classes Example* Using Pets

    Lecture 24 *Classes Example* Using Pets - Dogs

    Lecture 25 *Classes Example* Using Pets - Cats

    Lecture 26 *Classes Example* Using Pets - Adding Humans

    Lecture 27 UPDATE! More Examples Through Code

    Section 8: Importing and 3 Libraries

    Lecture 28 Introduction to Importing and the Random Library

    Lecture 29 Another Way Of Importing and Using Lists with Random

    Lecture 30 Using The Time Library

    Lecture 31 Introduction to the Math Library

    Lecture 32 *Example* Creating a User Guessing Game with Random

    Lecture 33 Making the Computer Guess a Random Number

    Section 9: *Project* Python Blackjack Game

    Lecture 34 *Project* Creating and Shuffling a Deck

    Lecture 35 *Project* Creating the Player Class

    Lecture 36 *Project* Expanding the Player Class

    Lecture 37 *Project* Implementing a Bet and Win

    Lecture 38 *Project* Implementing Player Moves

    Lecture 39 *Project* Running the Game

    Section 10: Python Error Handling

    Lecture 40 How to Handle Errors

    Section 11: Make 2D & 3D Graphs with Matplotlib

    Lecture 41 Installing Matplotlib

    Lecture 42 Introduction to Matplotlib

    Section 12: Matplotlib Basics

    Lecture 43 Introduction, Setup, and Installation

    Lecture 44 Creating our First Scatter Plot

    Lecture 45 Line Plots

    Section 13: Graph Customization

    Lecture 46 Labels, Title, and a Legend

    Lecture 47 Changing the Axis Ticks

    Lecture 48 Adding Text into our Graph

    Lecture 49 Annotating our Graph

    Lecture 50 Changing Figure Size and Saving the Figure

    Lecture 51 Changing the Axis Scales

    Section 14: More Advanced Matplotlib Plots

    Lecture 52 Creating Histograms

    Lecture 53 Creating Histograms Continued

    Lecture 54 Changing Histogram Types

    Lecture 55 Bar Plots

    Lecture 56 Stack Plots

    Lecture 57 Pie Charts

    Lecture 58 Box and Whisker Plots

    Section 15: Finance Graphs

    Lecture 59 Creating Figures and Subplots

    Lecture 60 Getting and Parsing CSV Data for Plotting

    Lecture 61 Creating a Candlestick Plot

    Lecture 62 Setting Dates for our Candlestick Plot

    Lecture 63 Reading Data directly from Yahoo

    Lecture 64 Customizing our OHLC Graph

    Section 16: Advanced Graph Customization

    Lecture 65 Adding Grids

    Lecture 66 Closer Look at Tick Labels

    Lecture 67 Customizing Grid Lines

    Lecture 68 Live Graphs

    Lecture 69 Styles and rcParameters

    Lecture 70 Sharing an X-axis between Two Plots

    Lecture 71 Setting Axis Spines

    Lecture 72 Creating multiple axes in our figure

    Lecture 73 Creating multiple axes in our figure (continued)

    Lecture 74 Plotting into the multiple axes

    Lecture 75 Plotting into the multiple axes (continued)

    Section 17: 3D Plotting

    Lecture 76 Getting Started with 3D Plotting

    Lecture 77 Surface plots and Colormaps

    Lecture 78 Wireframes and Contour plots

    Lecture 79 Stacks of histograms and text for 3D plotting

    Section 18: Getting Started with Blender

    Lecture 80 Download and Install Blender

    Lecture 81 Introduction and Setting Changes

    Lecture 82 Camera Controls

    Lecture 83 Emulated Numbpad Camera

    Lecture 84 Basic Object Manipulation

    Lecture 85 Frequently Used Tools

    Lecture 86 Mirror Modifier

    Section 19: *Projects* Make 32 Low Poly Buildings

    Lecture 87 3D Tent

    Lecture 88 3D Windmill

    Lecture 89 3D Modern Windmill

    Lecture 90 3D Medieval House

    Lecture 91 3D Medieval House Continued

    Lecture 92 3D Colosseum

    Lecture 93 3D CN Tower

    Lecture 94 Freestyle Moon Base

    Lecture 95 Freestyle Space Station

    Lecture 96 3D Pyramids of Giza

    Lecture 97 3D Leaning Tower of Pisa

    Lecture 98 3D Arc De Triomphe

    Lecture 99 3D Maya Temple

    Lecture 100 3D Shinto Shrine Gate

    Lecture 101 3D Big Ben

    Lecture 102 3D Great Wall of China

    Lecture 103 3D Forbidden City Main Building

    Lecture 104 3D Parthenon

    Lecture 105 3D Greek Amphitheater

    Lecture 106 3D Renaissance-Themed Building

    Lecture 107 3D Empire State Building

    Lecture 108 3D Greek Building

    Lecture 109 3D London Bridge

    Lecture 110 3D White House

    Lecture 111 3D Peace Arch

    Lecture 112 3D Washington Monument

    Lecture 113 3D Gateway Arch

    Lecture 114 3D Cattedrale Di Santa Maria Del Fiore

    Lecture 115 3D Basilica Di San Lorenzo

    Lecture 116 3D Basilica Di Santa Croce

    Lecture 117 3D Palazzo Pitti

    Lecture 118 3D Saint Peter's Basilica

    Lecture 119 Source Material

    Section 20: Bonus

    Lecture 120 Please rate this course

    Lecture 121 Bonus Lecture

    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.