Learning by Examples
With our "Try it Yourself" editor, you can edit Python code and view the result.
Example
import pandas as pd
import matplotlib.pyplot as plt
from scipy
import stats
full_health_data = pd.read_csv("data.csv", header=0, sep=",")
x = full_health_data["Average_Pulse"]
y = full_health_data["Calorie_Burnage"]
slope, intercept, r, p, std_err = stats.linregress(x, y)
def myfunc(x):
return
slope * x + intercept
mymodel = list(map(myfunc, x))
plt.scatter(x, y)
plt.plot(x, mymodel)
plt.ylim(ymin=0, ymax=2000)
plt.xlim(xmin=0, xmax=200)
plt.xlabel("Average_Pulse")
plt.ylabel ("Calorie_Burnage")
plt.show()
Click on the "Try it Yourself" button to see how it works.
The Python Language
Python is a programming language widely used by Data Scientists.
Python has in-built mathematical libraries and functions, making it easier to calculate mathematical problems and to perform data analysis.
In this tutorial, we will use Python to provide practical examples.
To learn more about Python, please visit our Python Tutorial.
