Synopses & Reviews
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 discusses?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. Who this book is for
IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources.
Synopsis
About the Apress Beginning Series
The Beginning series from Apress is the right choice to get the information you need to land that crucial entry-level job. These books will teach you a standard and important technology from the ground up because they are explicitly designed to take you from novice to professional. You'll start your journey by seeing what you need to know--but without needless theory and filler. You'll build your skill set by learning how to put together real-world projects step by step. So whether your goal is your next career challenge or a new learning opportunity, the Beginning series from Apress will take you there--it is your trusted guide through unfamiliar territory
Synopsis
I was always drawn to math and computers, ever since I was a kid playing computer games on my Sinclair ZX81. When I attended university, I had a special interest in numerical ana- sis, a field that I felt combines math and computers ideally. During my career, I learned of MATLAB, widely popular for digital signal processing, numerical analysis, and feedback and control. MATLAB s strong suits include a high-level programming language, excellent gra- ing capabilities, and numerous packages from almost every imaginable engineering field. But I found that MATLAB wasn t enough. I worked with very large files and needed the ability to manipulate both text and data. So I combined Perl, AWK, and Bash scripts to write programs that automate data analysis and visualization. And along the way, I ve developed practices and ideas involving the organization of data for example, ways to ensure file names are unique and self-explanatory. With the increasing popularity of the Internet, I learned of GNU/Linux and the open source movement. I made an effort to use open source software whenever possible, and so I ve learned of GNU-Octave and gnuplot, which together provide excellent scientific computing functionality. That fit well on my Linux machine: Bash scripts, Perl and AWK, GNU-Octave and gnuplot. Knowing I was interested in programming languages and open source software, a friend suggested I give Python a try."
Synopsis
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. Who this book is for
IT personnel, programmers, engineers, and hobbyists interested in acquiring and displaying data from the Web, sensors, economic trends, and even astronomical sources.