Beginning Python Visualization
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 analysis, a field that I felt combines math and computers ideally. During my career, I learned of MATLAB, widely popular f...
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| Tác giả chính: | |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
Apress
2012
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30809 |
| Các nhãn: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | 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 analysis,
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 graphing
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. |
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