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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2012
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30809 |
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oai:scholar.dlu.edu.vn:DLU123456789-308092014-01-20T06:41:09Z Beginning Python Visualization Vaingast, Shai Technologies 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. 2012-06-01T07:17:27Z 2012-06-01T07:17:27Z 2009 Book 978-1-4302-1844-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30809 en application/pdf Apress |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Technologies |
| spellingShingle |
Technologies Vaingast, Shai Beginning Python Visualization |
| description |
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. |
| format |
Book |
| author |
Vaingast, Shai |
| author_facet |
Vaingast, Shai |
| author_sort |
Vaingast, Shai |
| title |
Beginning Python Visualization |
| title_short |
Beginning Python Visualization |
| title_full |
Beginning Python Visualization |
| title_fullStr |
Beginning Python Visualization |
| title_full_unstemmed |
Beginning Python Visualization |
| title_sort |
beginning python visualization |
| publisher |
Apress |
| publishDate |
2012 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30809 |
| _version_ |
1819770089349578752 |