**Python 3 Data Visualization Recipes**

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 8 Hours | 3.52 GB

Learn Python 3 Data Visualization: Jupyter, NumPy, and Matplotlib in a single course, Create awesome visualizations

Become a Master in Data Visualization with Python 3 and acquire employers’ one of the most requested skills of 21st Century! A great data visualization engineer earns more than $150000 per year!

This is the most comprehensive, yet straight-forward course for the Data Visualization with Python 3 on Udemy! Whether you have never worked with Data Visualization before, already know basics of Python, or want to learn the advanced features of matplotlib and NumPy with Python 3, this course is for you! In this course we will teach you Data Visualization with Python 3, Jupyter, NumPy, and Matplotlib.

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

This course will teach you Data Visualization in a very practical manner, with every lecture comes a full programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, and Jupyter installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

- Basics of Scientific Python Ecosystem
- Basics of Digital Image Processing
- Basics of NumPy and Matplotlib
- Installation of Python 3 on Windows
- Setting up Raspberry Pi
- Tour of Python 3 environment on Raspberry Pi
- Jupyter installation and basics
- NumPy Ndarrays
- Array Creation Routines
- Basic Visualization with Matplotlib
- Ndarray Manipulation
- Random Array Generation
- Bitwise Operations
- Statistical Functions
- Plotting with Matplotlib
- Other types of visualizations (bar, histograms, scatter, and bubble)
- Contours
- 3D Visualizations (plot, mesh, and surfaces)
- Advanced Concepts in Matplotlib
- and much more…..

What you’ll learn

- Prepare excellent Visualizations
- Publications and Printing quality Visualizations
- 3D Visualizations
- Image Processing with NumPy and Matplotlib
- Add Matplotlib and NumPy in resume
- Appear for interviews confidently

**Introduction**

1 Please leave your feedback

2 Scientific Python Ecosystem

3 Introduction to Matplotlib

4 URLs to the important projects in the Scientific Python Ecosystem

**Python 3 on Windows**

5 Python 3 on Installation on Windows

6 Verify the Installation and the environment

**Python 3 on Raspberry Pi**

7 What is Raspberry Pi

8 Unboxing of Raspberry Pi 3B+

9 URLs of all the softwares used in this section

10 Raspberry Pi Raspbian OS Setup Part 1

11 Raspberry Pi Raspbian OS Setup Part 2

12 Remote Connection with VNC

13 Linux commands used in the Section

14 Python 3 on Raspberry Pi

**Python 3 Basics**

15 Hello World on Windows

16 Hello World on Raspberry Pi

17 Interpreter vs Script

18 A brief Tour of IDLE

19 RPi vs PC

**PyPI and pip**

20 Python Package Index and pip

21 pip on Windows

22 pip on Raspberry Pi

**Install NumPy and Matplotlib on Windows and Raspberry Pi**

23 Install NumPy and Matplotlib on Windows

24 Install NumPy and Matplotlib on Raspberry Pi

**Jupyter Notebook**

25 Jupyter and IPython

26 Jupyter Installation on Windows

27 Jupyter Installation on Raspberry Pi

28 Remote Connection with PuTTY

29 Connecting to Remote Jupyter Notebook

30 Jupyter Notebook Notes

**Getting Started with NumPy**

31 Introduction to NumPy

32 Ndarrays, Indexing, and Slicing

33 Ndarray Properties

34 NumPy Constants

35 NumPy DataTypes

**Creation of Arrays and Visualizations**

36 Ones and Zeros

37 Matrices

38 Numerical Ranges and Visualizations

**Random Sampling**

39 Random Sampling

**Array Manipulation**

40 Array Manipulation

**Bitwise Operations**

41 Bitwise Operations

**Statistical Functions**

42 Statistical Functions

**Matplotlib and NumPy Recipes**

43 Simple Plots

44 D Histograms

45 Polar Bar Graphs

46 Scatter Plots

47 Pie Charts

48 Scatter Polar Plot

49 Horizontal Bar Graphs

50 Histograms

51 Histogram of IQ of Population

52 Stacked Bar Plot

53 Countours and Points

54 Time Plots

55 MultiColor Graphs

56 D Bar Graph

57 MultiColored 3D Plots

58 D Contours

59 Multiplying Two Signals

60 Different Strokes

61 Filled Plots

62 Dashed Plots

63 Colored Plots

64 Dotted Plot

65 Polar Plot

**Matplotlib and Pandas**

66 What is Pandas

67 Install Pandas on Windows

68 Install Pandas on Raspberry Pi

69 Series in Pandas

70 DataFrame in Pandas

71 Pandas and Matplotlib

**Downloadable Code Section**

72 Downloadable Code Bundle

73 BONUS LECTURE