Scipython.com Website Review


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Traffic and Value

Is scipython.com legit?
Website Value $5356
Alexa Rank 369960
Monthly Visits 59505
Daily Visits 1984
Monthly Earnings $297.53
Daily Earnings $9.92
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Scipython.com Server Location

Country: United Kingdom
Metropolitan Area: Not defined
Postal Reference Code: Not defined
Latitude: 54
Longitude: -2




Summarized Content

Non-linear least squares fitting of a two-dimensional data ExB drift of a charged particle in a constant magnetic field crossed with an arbitrary electric field follows isoco… Exploring the ExB drift of a charged particle in constant, crossed magnetic and electric fields with a #Jupyter


Scipython Main Page Content

HTML Tag Content Informative?
Title: Could be improved
Description: Not set Empty
H1: Learning Scientific Programming with PythonIs it informative enough?
H3: Recent TweetsIs it informative enough?

Other Helpful Websites and Services for Scipython

Internal Pages

/about/:
Description

About Learning Scientific Programming with Python:

/about/the-author/:
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.

H1

The Author

/about/this-website/:
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/:
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.

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H1

Chapter 1: Introduction

/book/chapter-2-the-core-python-language-i/:
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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