Getting Started (Python Version)¶
In order to use Python version of ScientiMate library, first, Python programming language, and then, the ScientiMate library should be installed.
Installation¶
To use ScientiMate library:
- Install Python
- Install ScientiMate
1) Install Python
First, you 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, you need to install ScientiMate library.
To install ScientiMate via pip (https://pypi.org/project/scientimate) if you use pure Python:
pip install scientimate
To install ScientiMate via Anaconda cloud (https://anaconda.org/akarimp/scientimate) if you use Anaconda Python distribution:
conda install -c akarimp scientimate
Operating System¶
This code can be run on Windows, Mac, and Linux.
Required Programing Language¶
This Python version of this library can be run by using Python 3 or later (https://www.python.org or https://www.anaconda.com).
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')