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 talks about turning many types of small data sources into useful visual data. And you will learn Python as part of the bargain. What you'll learn Write ten lines of code and present visual information instead of data soup. Set up an open source environment ready for data visualization. Forget Excel: use Python. Learn numerical and textual processing. Draw graphs and plots based on textual and numerical data. Learn how to deal with images. Teaches an extremely practical approach to visualization Teaches Python from scratchthe only book of its kind doing it in one chapter Is motivated by an increasing number of data sources available globally Avoids software engineering paradigms that distract from visualization process Data visualization is one of the sleeping giants of computer book publishing, and lies largely undiscovered except by people in the know, or computer science professors selling tens of thousands of copies on visualization. This book teaches data visualization without academic baggage to the people who actually need it and without theoretical baggage, namely IT personnel dealing with small and medium data sources, programmers faced with sudden visualization problems and engineers, economics, hobbyists interested in the environment and others.
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