Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
Autor Ashwin Pajankaren Limba Engleză Paperback – 25 oct 2020
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.
You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.
The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. WithPractical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.
You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.
The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. WithPractical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.
What You'll Learn
- Review practical aspects of Python Data Visualization with programming-friendly abstractions
- Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu
- Visualize COVID-19 data sets with Pandas
Who This Book Is For
Preț: 294.39 lei
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56.34€ • 58.74$ • 46.82£
56.34€ • 58.74$ • 46.82£
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Specificații
ISBN-13: 9781484264546
ISBN-10: 1484264541
Pagini: 190
Ilustrații: XV, 160 p. 117 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.26 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1484264541
Pagini: 190
Ilustrații: XV, 160 p. 117 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.26 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Cuprins
Chapter 1: Data Visualization with Leather.- Chapter 2: Introduction to the Scientific Python Ecosystem and NumPy.- Chapter 3: NumPy Routines and Visualization with Matplotlib.- Chapter 4: Visualizing images and 3D Shapes .- Chapter 5 :Visualize Networks and Graphs.- Chapter 6: Getting Started with Pandas.- Chapter 7: Processing and Visualizing COVID-19 Data.- Appendix.
Notă biografică
Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad, and has over 25 years of programming experience. He started his journey in programming and electronics at the tender age of 7 with BASIC programming language and is now proficient in Assembly programming, C, C++, Java, Shell Scripting, and Python. Other technical experience includes single board computers such as Raspberry Pi and Banana Pro, and Arduino.
He is currently a freelance online instructor teaching programming bootcamps to more than 60,000 students from tech companies and colleges. His Youtube channel has an audience of 10000 subscribers and he has published more than 15 books on programming and electronics with many international publications.
He is currently a freelance online instructor teaching programming bootcamps to more than 60,000 students from tech companies and colleges. His Youtube channel has an audience of 10000 subscribers and he has published more than 15 books on programming and electronics with many international publications.
Textul de pe ultima copertă
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizations.
You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.
The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.
You’ll begin by installing Python 3, see how to work in Jupyter notebook, and explore Leather, Python’s popular data visualization charting library. You’ll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You’ll review the visualization of 3D data using graphs and networks and finish up by looking at data visualization with Pandas, including the visualization of COVID-19 data sets.
The code examples are tested on popular platforms like Ubuntu, Windows, and Raspberry Pi OS. With Practical Python Data Visualization you’ll master the core concepts of data visualization with Pandas and the Jupyter notebook interface.
You will:
- Review practical aspects of Python Data Visualization with programming-friendly abstractions
- Install Python 3 and Jupyter on multiple platforms including Windows, Raspberry Pi, and Ubuntu
- Visualize COVID-19 data sets with Pandas
Caracteristici
Practical guide to embracing Python 3 Data Visualization for beginners and experienced people alike Bypasses the complexities of mathematics with simple lucid language Includes examples based on libraries such as leather, NumPy, Matplotlib, and Pandas