Running scripts, loading data, and saving data

When working with projects of some complexity, it is common to have the need to run scripts written by others. It is also always necessary to load data and save results. In this section, we will describe the facilities that IPython provides for these tasks.

Running Python scripts

The following Python script generates a plot of a solution of the Lorenz equations, a famous example in the theory of chaos. If you are typing the code, do not type it in a cell in the notebook. Instead, use a text editor and save the file with the name lorenz.py in the same directory that contains the notebook file. The code is as follows:

import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
from mpl_toolkits.mplot3d import Axes3D

def make_lorenz(sigma, r, b):
    def func(statevec, t):
        x, y, z = statevec
        return [ sigma * (y - x),
                 r * x - y - x * z,
                 x * y - b * z ]
    return func
  ...

Tech Concepts

Programming languages

Tech Tools

Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

50+ new titles added per month and exclusive early access to books as they are being written.

IPython Notebook Essentials

By : Martins

IPython Notebook Essentials

By: Martins

Overview of this book

Running scripts, loading data, and saving data

Running Python scripts

IPython Notebook Essentials

By : Martins

IPython Notebook Essentials

By: Martins

Overview of this book

Running scripts, loading data, and saving data

Running Python scripts

Confirmation

Buy this book with your credits?

Submit Your Feedback

Create a Free Account To Continue Reading

Sign in to activate your 7-day free access