scientimate 1.0.5

Earth-Science Data Analysis Library

ScientiMate is a library for earth-science data analysis. This library can be used for wide range of data analysis including a time series analysis, signal processing, and geo-data calculation.

Name:

ScientiMate

Description:

Earth-Science Data Analysis Library

Version:

1.0.5

Requirements:

Python (3 or later), NumPy, SciPy, Matplotlib

Developer:

Arash Karimpour (http://www.arashkarimpour.com)

Documentation:

https://scientimate.readthedocs.io

Tutorial Video:

YouTube Playlist

Source Code:

https://github.com/akarimp/scientimate

Report Issues:

https://github.com/akarimp/scientimate/issues

Installation

To use ScientiMate package:

• Install Python

• Install ScientiMate

1) Install Python

First, we need to install Python programming language.

• Method 1:

  Install pure Python from https://www.python.org and then use the pip command to install required packages

• Method 2 (Recommended):

  Install Anaconda Python distribution from https://www.anaconda.com and then use the conda command to install required packages

2) Install ScientiMate

After Python is installed, we need to install ScientiMate package.

To install ScientiMate via pip (https://pypi.org/project/scientimate):

pip install scientimate

To install ScientiMate via Anaconda cloud (https://anaconda.org/akarimp/scientimate):

conda install -c akarimp scientimate

Required Package for Python

Following packages are required:

• NumPy (https://numpy.org)

• SciPy (https://www.scipy.org)

• Matplotlib (https://matplotlib.org)

Quick Start

import scientimate as sm
import numpy as np

print(sm.__version__)

x=np.linspace(1,10,10)
y=np.zeros((10,2))
y[:,0]=1+np.random.rand(10)
y[:,1]=2+np.random.rand(10)
sm.plot2d(x,y,'line_confid','blue_red','large')

Recommended Books

• Ocean Wave Data Analysis

  Introduction to Time Series Analysis, Signal Processing, and Wave Prediction.

  Order at Amazon: https://www.amazon.com/dp/0692109978

  
  
• Principles of Data Science with Python

  Introduction to Scientific Computing, Data Analysis, and Data Visualization.

  Order at Amazon: https://www.amazon.com/dp/1735241008

  
  
• Fundamentals of Data Science with MATLAB

  Introduction to Scientific Computing, Data Analysis, and Data Visualization.

  Order at Amazon: https://www.amazon.com/dp/1735241016

Citation

Cite this package as:

Karimpour, A. (2020). ScientiMate, Earth-Science Data Analysis Library.

License Agreement and Disclaimer

ScientiMate: Earth-Science Data Analysis Library

Copyright (c) 2021 Arash Karimpour

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.