**Python 3 Pandas, Bokeh, and Seaborn Data Visualization**

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 9 Hours | 4.04 GB

Learn Advanced Data Visualization with Python 3, NumPy, Jupyter, Matplotlib, Pandas, Seaborn, and Bokeh

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

This is the most comprehensive, yet straight-forward course for the Advanced 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 seaborn with Python 3, this course is for you! In this course we will teach you Advanced Data Visualization with Python 3, Jupyter, NumPy, Matplotlib, seaborn, pandas, and Bokeh.

(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
- Python 3 and Matplotlib Data Visualization Recipes
- Seaborn recipes
- Seaborn and Pandas
- Bokeh
- and much more….

What you’ll learn

- Prepare excellent Visualizations
- Publications and Printing quality Visualizations
- 3D Visualizations
- Add Matplotlib, NumPy, seaborn, and bokeh in resume
- Appear for Data Science interviews confidently

**Table of Contents**

**Introduction to the course**

1 Objectives

2 Topics Overview

3 Please leave your feedback

4 Scientific Python Ecosystem

5 URLs of important projects in the Scientific Python Ecosystem

**Python 3 on Windows**

6 Install Python 3 on Windows

7 Verify Python 3 on Windows

**Python 3 on Raspberry Pi**

8 What is Raspberry Pi

9 Unboxing of RPi 3B+

10 Web URLs for the download

11 Raspberry Pi Raspbian OS Setup Part 1

12 Raspberry Pi Raspbian OS Setup Part 2

13 Remote Connection with VNC

14 Linux commands used in the section

15 Python 3 on Raspberry Pi

**Python 3 Basics**

16 Hello World on Windows

17 Hello World on Raspberry Pi

18 Interpreter vs Script

19 A brief Tour of IDLE

20 Raspberry Pi Vs PC

**Python Package Index and pip**

21 PyPI and pip

22 pip on Windows

23 pip on Raspberry Pi

**Installing NumPy and Matplotlib**

24 Install Matplotlib and NumPy on Windows

25 Install Matplotlib and NumPy on Raspberry Pi

**Jupyter Notebook**

26 Jupyter and IPython

27 Jupyter Installation on Windows

28 Jupyter Installation on Raspberry Pi

29 PuTTY

30 Connecting to a remote Jupyter Notebook

31 A brief tour of Jupyter

32 Jupyter Notebook Notes

**Getting Started with NumPy**

33 Introduction to NumPy

34 Ndarrays Indexing and Slicing

35 Ndarray Properties

36 NumPy Constants

37 NumPy Data Types

**Creation of Arrays and Matplotlib**

38 Ones and Zeros

39 Matrices

40 Introduction to Matplotlib

41 Numerical Ranges and Visualization

**Random Sampling**

42 Random Sampling

**Array Manipulation**

43 Array Manipulation

**Bitwise Operations**

44 Bitwise Operations

**Statistical Functions**

45 Statistical Functions

**Pandas**

46 What is Pandas

47 Install Pandas on Raspberry Pi

48 Install Pandas on Windows

49 Series

50 DataFrame

**Pandas Visualizations**

51 Pandas Visualizations Part 1

52 Pandas Visualizations Part 2

53 Pandas Visualizations Part 3

**Seaborn**

54 Pandas Datasets in Seaborn

55 Colors and Asthetics

56 Visualizations and Plots

57 Visualizing Regression in seaborn

58 Uni-variate Data Visualization

59 Catplot

60 Pairgrid

**Visualizations in Bokeh**

61 Getting Started with Bokeh

62 Interactive graph within Notebook

63 Interactive Visualization

64 More Bokeh

65 Layouts in Bokeh

66 Column Data Source

67 Column Data Source Visualizations

68 Log Axis Example

69 Scatter Plot

70 Brushes

71 Stock Price Visualization

**A complete data Science example**

72 A complete data Science example

**Downloadable Code Files**

73 Downloadbale Code Bundle

74 BONUS LECTURE

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