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.


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