Beginning Python Visualization
Год: 2014
Автор: Shai Vaingast
Издательство: Apress
ISBN: 978-1-4842-0052-0
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Серия: The Expert's Voice in Python
Интерактивное оглавление: Да
Количество страниц: 405
Описание: We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.
In this second edition you’ll learn about Spyder, which is a Python IDE with MATLAB® -like features. Here and throughout the book, you’ll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples.
As part of this update, you’ll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allows you to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts.
Today's big data and computational scientists, financial analysts/engineers and web developers – like you - will find this updated book very relevant.
What you’ll learn
- How to present visual information instead of data soup
- How to set up an open source environment ready for data visualization
- How to do numerical and textual processing
- How to draw graphs and plots based on textual and numerical data using NumPy, Spyder and more
- How to explore and use new visual libraries including matplotlib's 3D graphs and basemap package
- How to build and use interactive visualization using IPython
Содержание
About the Author xix
About the Technical Reviewer xxi
Acknowledgments xxiii
Introduction xxv
Chapter 1: Navigating the World of Data Visualization 1
Chapter 2: The Environment 31
Chapter 3: Python for Programmers 55
Chapter 4: Data Organization 109
Chapter 5: Processing Text Files 141
Chapter 6: Graphs and Plots 189
Chapter 7: Math Games 233
Chapter 8: Science and Visualization 269
Chapter 9: Image Processing 307
Chapter 10: Advanced File Processing 343
Appendix: Additional Source Listing 371
Index 379
Доп. информация: 2nd edition
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