Software Libraries Explained - Python Programming For All

Learn to program and use Matplotlib and NumPy! Make 2D and 3D graphs with math. Make predictions with data with analysis

What you'll learn
Code in the web's most popular programming language: 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
Organize data into histograms, pie charts, and box and whisker plots
Perform calculations, functions and statistics with NumPy
And so much more in this massive life-changing course
Requirements
The free data science platform Anaconda 4.2.0
Otherwise, you can download and install Python, Matplotlib, and NumPy online
Topics involve intermediate math, so familiarity with university-level math is very helpful.
Description
Graphing & Programming for Everyone: Math & Computer ScienceDon't miss out on this epic course of web programming and using the latest technology for prediction and data analysis. Enroll now to learn Python, Matplotlib, and NumPy - three massive topics in one straightforward course.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. This course 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.
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.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!Go through every step you need to create and shape NumPy and 2D arrays. Learn how to resize, format, and sort arrays. Then we cover how to perform calculations within NumPy arrays. You learn about math functions, statistics, and polynomials with NumPy. Choose this course today 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 ScratchEnroll now to join the Mammoth community!

Overview

Lecture 1 Course Trailer

Section 1: Introduction to Python

Lecture 2 Python Introduction

Section 2: Basic of Programming

Lecture 3 Variables

Lecture 4 Functions

Lecture 5 If Statements

Section 3: Introduction to Lists

Lecture 6 Lists

Section 4: Introduction to Loops

Lecture 7 Using For Loops (with Examples)

Lecture 8 Introduction to 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 Sets and Dictionaries

Lecture 13 EXAMPLE: Inventory List

Section 6: Introduction to Input and Output

Lecture 14 Implementing Input and Output

Lecture 15 Integrating File Input and Output

Lecture 16 EXAMPLE: Tic Tac Toe (Part 1)

Lecture 17 EXAMPLE: Tic Tac Toe (Part 2)

Lecture 18 EXAMPLE: Writing Participant Data to File

Lecture 19 EXAMPLE: Reading Participant Data to File

Lecture 20 EXAMPLE: Simple Statistics with Data from File

Section 7: Introduction to Classes

Lecture 21 A First Look at Classes

Lecture 22 Inheritance and Classes

Lecture 23 EXAMPLE: Classes Using Pets

Lecture 24 EXAMPLE: Classes Using Dogs

Lecture 25 EXAMPLE: Classes Using Cats

Lecture 26 EXAMPLE: Adding Humans to Pets Class

Section 8: Introduction to Importing

Lecture 27 Importing and the Random Library

Lecture 28 Another Way to Import and Use Lists with Random

Lecture 29 Using the Time Library

Lecture 30 Introduction to the Math Library

Lecture 31 EXAMPLE: Make a Random Guessing Game

Lecture 32 EXAMPLE: Make Computer Guess a Number

Section 9: PROJECT: Python Blackjack Game

Lecture 33 Creating and Shuffling a Deck

Lecture 34 Creating a Player Class

Lecture 35 Expanding the Player Class

Lecture 36 Implementing a Bet and Win

Lecture 37 Implementing Player Moves

Lecture 38 Running the Game

Section 10: Introduction to Error Handling

Lecture 39 Error Handling

Section 11: Challenge! Python Coding Exercises

Section 12: Introduction to Matplotlib

Lecture 40 Installing Matplotlib

Lecture 41 Introduction to Matplotlib

Section 13: Basics of Matplotlib

Lecture 42 Setup and Installation

Lecture 43 Creating our First Scatter Plot

Lecture 44 Line Plots

Section 14: Graph Customization

Lecture 45 Labels, Title and Legend

Lecture 46 Changing the Axis Ticks

Lecture 47 Adding Text to a Graph

Lecture 48 Annotating a Graph

Lecture 49 Changing Figure Size and Saving

Lecture 50 Changing Axis Scales

Section 15: Advanced Plots in Matplotlib

Lecture 51 Creating Histograms (Part 1)

Lecture 52 Creating Histograms (Part 2)

Lecture 53 Changing Histogram Types

Lecture 54 Bar Plots

Lecture 55 Stack Plots

Lecture 56 Pie Charts

Lecture 57 Box and Whisker Plots

Section 16: Finance Graphs

Lecture 58 Creating Figures and Subplots

Lecture 59 Getting and Parsing CSV Data for Plotting

Lecture 60 Creating a Candlestick Plot

Lecture 61 Setting Dates for our Candlestick Plot

Lecture 62 Reading Data directly from Yahoo

Lecture 63 Customizing our OHLC Graph

Section 17: Advanced Graph Customization

Lecture 64 Adding Grids

Lecture 65 Tick Labels

Lecture 66 Customizing Grid Lines

Lecture 67 Live Graphs

Lecture 68 Styles and rc Parameters

Lecture 69 Sharing an X-axis between Two Plots

Lecture 70 Setting Axis Spines

Lecture 71 Creating Multiple Axes in a Figure (Part 1)

Lecture 72 Creating Multiple Axes in a Figure (Part 2)

Lecture 73 Plotting into Multiple Axes (Part 1)

Lecture 74 Plotting into Multiple Axes (Part 2)

Section 18: 3D Plotting with Matplotlib

Lecture 75 Introduction to 3D Plotting

Lecture 76 Surface Plots and Colormaps

Lecture 77 Wireframes and Contour Plots

Lecture 78 Stacks of Histograms and Text for 3D Plotting

Section 19: Introduction to NumPy

Lecture 79 NumPy Introduction

Section 20: NumPy Arrays

Lecture 80 Create and Reshape NumPy Arrays

Lecture 81 Create Standard NumPy Arrays

Lecture 82 Create Standard 2D Arrays

Lecture 83 Attributes on NumPy Arrays

Lecture 84 Resizing Arrays

Section 21: Manipulating NumPy Arrays

Lecture 85 Write an Array to File and Format Strings

Lecture 86 Random Numbers

Lecture 87 Sorting in NumPy

Section 22: Calculations and Math

Lecture 88 Calculations within NumPy Arrays

Lecture 89 Math Functions with NumPy

Lecture 90 Integrating with NumPy

Lecture 91 Statistics with NumPy

Lecture 92 Polynomials (Part 1)

Lecture 93 Polynomials (Part 2)

Section 23: Bonus

Lecture 94 Please rate this course

Lecture 95 Bonus Lecture

Anyone who wants to learn to code for the web in the popular Python programming language.,Experienced programmers who want to learn a 2D plotting library for Python.,Beginners who want to learn to code for the web and make games in the popular Python programming language.