Scipython.com receives about 59505 visitors in one month. That could possibly earn $297.53 each month or $9.92 each day. Server of the website is located in the United Kingdom. Scipython.com main page was reached and loaded in 1.76 seconds. This is a good result. Try the services listed at the bottom of the page to search for available improvements.
Is scipython.com legit? | |
Website Value | $5356 |
Alexa Rank | 369960 |
Monthly Visits | 59505 |
Daily Visits | 1984 |
Monthly Earnings | $297.53 |
Daily Earnings | $9.92 |
Country: United Kingdom
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 54
Longitude: -2
HTML Tag | Content | Informative? |
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Title: | Could be improved | |
Description: | Not set | Empty |
H1: | Learning Scientific Programming with Python | Is it informative enough? |
H3: | Recent Tweets | Is it informative enough? |
Results will appear here |
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/about/: | |
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Description |
About Learning Scientific Programming with Python: |
/about/the-author/: | |
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Title |
The Author |
Description |
Christian Hill is a physicist and chemist. His research is based at UCL where he is a member of the ExoMol research group which calculates high-temperature line lists for modelling exoplanet atmospheres. He teaches a course in Python programming at UCL's Department of Physics and Astronomy and also teaches Physical Chemistry at Somerville College, a constituent college of the University of Oxford. |
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The Author |
/about/this-website/: | |
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Title |
This Website |
Description |
This website contains supplementary material for Learning Scientific Programming with Python and reproduces some of the exercises and examples in that book. There are also further exercises, examples and blog articles on using Python 3 for science and engineering applications. |
H1 |
This Website |
/book/chapter-1-introduction/: | |
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Title |
Chapter 1: Introduction |
Description |
Learning Scientific Programming with Python is intended to help scientists and engineers learn version 3 the Python programming language and its ociated NumPy, SciPy, and Matplotlib libraries. No prior programming experience or scientific knowledge in any par- ticular field is umed. However, familiarity with some mathematical concepts such as trigonometry, complex numbers and basic calculus is helpful to follow the examples and exercises. [censored]
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H1 |
Chapter 1: Introduction |
/book/chapter-2-the-core-python-language-i/: | |
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Title |
Chapter 2: The Core Python Language I |
Description |
[Chapter 2: The Core Python Language I] |
H1 |
Chapter 2: The Core Python Language I |
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