Make 2D & 3D Graphs In Python With Matplotlib For Beginners!

A data science masterclass for beginners! Learn data visualization by making graphic bars and diagrams. Code in Python.

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 figures and subplots.
Perform in-depth customization of plot structure
Understand basic 3D plotting.
Requirements
Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and Matplotlib.
Otherwise, you can download and install Python 3.5.2 and Matplotlib for free online.
Topics involve intermediate math, so familiarity with university-level math is helpful.
Description
This course was funded by a wildly successful Kickstarter.Do you want to learn how to visualize data? Enroll in this course to learn how to do so directly in code. "Great course for a noobie - the first half is a review of basic python. The last half is an in-depth look at matplotlib and all its feature-rich goodness. I enjoyed taking it even if it took a while to go through."Make 2D & 3D Graphs in Python with Matplotlib for Beginners! is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using Matplotlib, a Python 2D plotting library.In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You 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. We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.In Part 2, 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!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.“The Instructor goes very in-depth about everything. This is very helpful to remember all these different things!” – KingSloth_GameStudio on The Ultimate iOS 11 Course“I really like the approach the presenter takes – not just the technical details, but also the very human, personal development information and recommendations he provides.” – Michael on The Ultimate iOS 11 Course“The instructor is very good at teaching. He teaches at a great pace and covers anything a beginner would need to understand (every little detail). I am already learning a lot and I just started yesterday. – Mike on Build 30 Mini Virtual Reality Games in Unity3D from ScratchYou get full lifetime access to this course for a single fee. Enroll today to join the Mammoth community!

Overview

Section 1: Introduction

Lecture 1 Introduction to Python

Section 2: Basic of Programming

Lecture 2 Variables

Lecture 3 Functions

Lecture 4 If Statements

Section 3: Lists

Lecture 5 Introduction to Lists

Section 4: Loops

Lecture 6 Introduction to and Examples using For Loops

Lecture 7 Getting Familiar with While Loops

Lecture 8 Breaking and Continuing In Loops

Lecture 9 Making Shapes with Loops

Lecture 10 Nest Loops, Printing & Tic-Tac-Toe Field

Section 5: Sets and Dictionaries

Lecture 11 Understanding Sets and Dictionaries

Lecture 12 An Example for an Inventory List

Section 6: Input and Output

Lecture 13 Introduction and Implementation of Input and Output

Lecture 14 Introduction to and Integrating File Input and Output

Lecture 15 An Example For A Tic-tac-toe Game Part 1

Lecture 16 An Example For A Tic-tac-toe Game Part 2

Lecture 17 An Example Writing Participant Data To File

Lecture 18 An Example Reading Participant Data From File

Lecture 19 Doing Simple Statistics With Participant Data From File

Section 7: Classes

Lecture 20 A First Look at Classes

Lecture 21 Inheritance and Classes

Lecture 22 An Example Of Classes Using Pets

Lecture 23 An Example Of Classes Using Pets - Dogs

Lecture 24 An Example Of Classes Using Pets - Cats

Lecture 25 Taking The Pets Example Further And Adding Humans

Section 8: Importing

Lecture 26 Introduction To Importing and The Random Library

Lecture 27 Another Way Of Importing and Using Lists with Random

Lecture 28 Using The Time Library

Lecture 29 Introduction to the Math Library

Lecture 30 Creating A User Guessing Game with Random

Lecture 31 Making the Computer Guess a Random Number

Section 9: Project - BlackJack Game

Lecture 32 Creating and Shuffling a Deck

Lecture 33 Creating the Player Class

Lecture 34 Expanding the Player Class

Lecture 35 Implementing a Bet and Win

Lecture 36 Implementing the Player Moves

Lecture 37 Running the Game

Section 10: Error Handling

Lecture 38 Getting Started with Error Handling

Section 11: –Matplotlib–

Lecture 39 Installing Matplotlib

Lecture 40 Intro to Matplotlib

Section 12: Basics

Lecture 41 Introduction, Setup, and Installation

Lecture 42 Creating our First Scatter Plot

Lecture 43 Line Plots

Section 13: Graph Customization

Lecture 44 Labels, Title, and a Legend

Lecture 45 Changing the Axis Ticks

Lecture 46 Adding Text into our Graph

Lecture 47 Annotating our Graph

Lecture 48 Changing Figure Size and Saving the Figure

Lecture 49 Changing the Axis Scales

Section 14: More Advanced Plots

Lecture 50 Creating Histograms

Lecture 51 Creating Histograms (Cont'd)

Lecture 52 Changing Histogram Types

Lecture 53 Bar Plots

Lecture 54 Stack Plots

Lecture 55 Pie Charts

Lecture 56 Box and Whisker Plots

Section 15: Finance Graphs

Lecture 57 Creating Figures and Subplots

Lecture 58 Getting and Parsing CSV Data for Plotting

Lecture 59 Creating a Candlestick Plot

Lecture 60 Setting Dates for our Candlestick Plot

Lecture 61 Reading Data directly from Yahoo

Lecture 62 Customizing our OHLC Graph

Section 16: Advanced Graph Customization

Lecture 63 Adding Grids

Lecture 64 Closer Look at Tick Labels

Lecture 65 Customizing Grid Lines

Lecture 66 Live Graphs

Lecture 67 Styles and rcParameters

Lecture 68 Sharing an X-axis between Two Plots

Lecture 69 Setting Axis Spines

Lecture 70 Creating multiple axes in our figure

Lecture 71 Creating multiple axes in our figure (cont'd)

Lecture 72 Plotting into the multiple axes

Lecture 73 Plotting into the multiple axes (cont'd)

Section 17: 3D Plotting

Lecture 74 Getting Started with 3D Plotting

Lecture 75 Surface plots and Colormaps

Lecture 76 Wireframes and Contour plots

Lecture 77 Stacks of histograms and text for 3D plotting

Lecture 78 Please leave us a rating.

Lecture 79 Bonus Lecture: Get 155 courses!

Absolute 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 plotting library for Python.