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Practical Python Data Visualization

- A Fast Track Approach To Learning Data Visualization With Python

Bag om Practical Python Data Visualization

Chapter 1: Data Visualization with Leather Chapter Goal: Introduce readers to the data visualization with a simple library leather No of pages: 15 Sub - Topics: 1. Introduction to leather 2. Installation to leather 3. Various types of graphs with leather Chapter 2: Introduction to the Scientific Python Ecosystem and NumPy Chapter Goal: Explore Scientific Python 3 ecosystem and constituent member libraries. We will also learn basics of the NumPy multidimensional data structure Ndarrays. No of pages: 15 Sub - Topics: 1. Scientific Python 3 Ecosystem 2. Member libraries 3. Installation of NumPy 4. NumPy basics 5. Ndarrays Chapter 3: NumPy Routines and Visualization with Matplotlib Chapter goal - Learn to visualize data with Matplotlib. Readers working in the data science and scientific domains will be thrilled to get started with this. No of pages: 15 Sub - Topics: 1. NumPy Ndarray creation Routines 2. Installation of Matplotlib 3. Visualization with Matplotlib 4. Multiple graphs 5. Axis, colors, and markers Chapter 4 : Visualizing images and 3D Shapes Chapter goal - Learn to visualize greyscale and color images. We will explore basic image processing operations. We will also learn to visualize 3D shapes and wireframes. No of pages: 20 Sub - Topics: 1. Visualize images with Matplotlib 2. Basic Operations on images 3. 3D visualizations Chapter 5 : Visualize Networks and Graphs Chapter goal - Network and Graph Data structures. We will learn to install network library and visualize network. No of pages: 15 Sub - Topics: 1. Networks and Graphs 2. Installation of network library 3. Visualize graphs Chapter 6 : Getting Started with Pandas Chapter goal - Learn to work with Pandas Series and Dataframe data structures. No of pages: 15 Sub - Topics: 1. Pandas library and installation 2. Series 3. Dataframes 4. Reading data from a URL Chapter 7: Processing and Visualizing COVID-19 Data Chapter goal - Learn to work with COVID-19 Data. Visualize the number of COVID-19. No of pages: 20 Sub - Topics: 1. COVID-19 Pandemic 2. COVID 19 data sources 3. COVID 19 python libraries 4. Visualization of data Appendix:

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781484264546
  • Indbinding:
  • Paperback
  • Sideantal:
  • 160
  • Udgivet:
  • 25. oktober 2020
  • Udgave:
  • 1
  • Størrelse:
  • 233x155x18 mm.
  • Vægt:
  • 284 g.
  • 8-11 hverdage.
  • 10. december 2024
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Beskrivelse af Practical Python Data Visualization

Chapter 1: Data Visualization with Leather
Chapter Goal: Introduce readers to the data visualization with a simple library leather
No of pages: 15
Sub - Topics:
1. Introduction to leather
2. Installation to leather
3. Various types of graphs with leather
Chapter 2: Introduction to the Scientific Python Ecosystem and NumPy
Chapter Goal: Explore Scientific Python 3 ecosystem and constituent member libraries. We will also learn basics of the NumPy multidimensional data structure Ndarrays.
No of pages: 15
Sub - Topics:
1. Scientific Python 3 Ecosystem
2. Member libraries
3. Installation of NumPy
4. NumPy basics
5. Ndarrays
Chapter 3: NumPy Routines and Visualization with Matplotlib
Chapter goal - Learn to visualize data with Matplotlib. Readers working in the data science and scientific domains will be thrilled to get started with this.
No of pages: 15
Sub - Topics:
1. NumPy Ndarray creation Routines
2. Installation of Matplotlib
3. Visualization with Matplotlib
4. Multiple graphs
5. Axis, colors, and markers
Chapter 4 : Visualizing images and 3D Shapes
Chapter goal - Learn to visualize greyscale and color images. We will explore basic image processing operations. We will also learn to visualize 3D shapes and wireframes.
No of pages: 20
Sub - Topics:
1. Visualize images with Matplotlib
2. Basic Operations on images
3. 3D visualizations
Chapter 5 : Visualize Networks and Graphs
Chapter goal - Network and Graph Data structures. We will learn to install network library and visualize network.
No of pages: 15
Sub - Topics:
1. Networks and Graphs
2. Installation of network library
3. Visualize graphs
Chapter 6 : Getting Started with Pandas
Chapter goal - Learn to work with Pandas Series and Dataframe data structures.
No of pages: 15
Sub - Topics:
1. Pandas library and installation
2. Series
3. Dataframes
4. Reading data from a URL
Chapter 7: Processing and Visualizing COVID-19 Data
Chapter goal - Learn to work with COVID-19 Data. Visualize the number of COVID-19.
No of pages: 20
Sub - Topics:
1. COVID-19 Pandemic
2. COVID 19 data sources
3. COVID 19 python libraries
4. Visualization of data
Appendix:

Brugerbedømmelser af Practical Python Data Visualization



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