Software Libraries Explained – Python Programming for All

سرفصل های دوره

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

1 - Introduction to Python

2 - Python Introduction

2 - Basic of Programming

3 - Variables

4 - Functions

5 - If Statements

3 - Introduction to Lists

6 - Lists

4 - Introduction to Loops

7 - Using For Loops with Examples

8 - Introduction to While Loops

9 - Breaking and Continuing In Loops

10 - Making Shapes with Loops

11 - Nest Loops Printing & Tic Tac Toe

5 - Introduction to Sets and Dictionaries

12 - Sets and Dictionaries

13 - EXAMPLE Inventory List

6 - Introduction to Input and Output

14 - Implementing Input and Output

15 - Integrating File Input and Output

16 - EXAMPLE Tic Tac Toe Part 1

17 - EXAMPLE Tic Tac Toe Part 2

18 - EXAMPLE Writing Participant Data to File

19 - EXAMPLE Reading Participant Data to File

20 - EXAMPLE Simple Statistics with Data from File

7 - Introduction to Classes

21 - A First Look at Classes

22 - Inheritance and Classes

23 - EXAMPLE Classes Using Pets

24 - EXAMPLE Classes Using Dogs

25 - EXAMPLE Classes Using Cats

26 - EXAMPLE Adding Humans to Pets Class

8 - Introduction to Importing

27 - Importing and the Random Library

28 - Another Way to Import and Use Lists with Random

29 - Using the Time Library

30 - Introduction to the Math Library

31 - EXAMPLE Make a Random Guessing Game

32 - EXAMPLE Make Computer Guess a Number

9 - PROJECT Python Blackjack Game

33 - Creating and Shuffling a Deck

34 - Creating a Player Class

35 - Expanding the Player Class

36 - Implementing a Bet and Win

37 - Implementing Player Moves

38 - Running the Game

10 - Introduction to Error Handling

39 - Error Handling

11 - Challenge Python Coding Exercises

1 - Hello Mammoth.html

2 - Declaring Variables.html

3 - Calling Functions.html

4 - Declaring a Class.html

12 - Introduction to Matplotlib

40 - Installing Matplotlib.html

41 - Introduction to Matplotlib

13 - Basics of Matplotlib

42 - Setup and Installation

43 - Creating our First Scatter Plot

44 - Line Plots

14 - Graph Customization

45 - Labels Title and Legend

46 - Changing the Axis Ticks

47 - Adding Text to a Graph

48 - Annotating a Graph

49 - Changing Figure Size and Saving

50 - Changing Axis Scales

15 - Advanced Plots in Matplotlib

51 - Creating Histograms Part 1

52 - Creating Histograms Part 2

53 - Changing Histogram Types

54 - Bar Plots

55 - Stack Plots

56 - Pie Charts

57 - Box and Whisker Plots

16 - Finance Graphs

58 - Creating Figures and Subplots

59 - Getting and Parsing CSV Data for Plotting

60 - Creating a Candlestick Plot

61 - Setting Dates for our Candlestick Plot

62 - Reading Data directly from Yahoo

63 - Customizing our OHLC Graph

17 - Advanced Graph Customization

64 - Adding Grids

65 - Tick Labels

66 - Customizing Grid Lines

67 - Live Graphs

68 - Styles and rc Parameters

69 - Sharing an Xaxis between Two Plots

70 - Setting Axis Spines

71 - Creating Multiple Axes in a Figure Part 1

72 - Creating Multiple Axes in a Figure Part 2

73 - Plotting into Multiple Axes Part 1

74 - Plotting into Multiple Axes Part 2

18 - 3D Plotting with Matplotlib

75 - Introduction to 3D Plotting

76 - Surface Plots and Colormaps

77 - Wireframes and Contour Plots

78 - Stacks of Histograms and Text for 3D Plotting

19 - Introduction to NumPy

79 - NumPy Introduction

20 - NumPy Arrays

80 - Create and Reshape NumPy Arrays

81 - Create Standard NumPy Arrays

82 - Create Standard 2D Arrays

83 - Attributes on NumPy Arrays

84 - Resizing Arrays

21 - Manipulating NumPy Arrays

85 - Write an Array to File and Format Strings

86 - Random Numbers

87 - Sorting in NumPy

22 - Calculations and Math

88 - Calculations within NumPy Arrays

89 - Math Functions with NumPy

90 - Integrating with NumPy

91 - Statistics with NumPy

92 - Polynomials Part 1

93 - Polynomials Part 2

23 - Bonus

94 - Please rate this course.html

95 - Bonus Lecture.html

Course Trailer

1 - Course Trailer

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تولید کننده: Udemy-Training