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IPython Notebook Essentials

You're reading from   IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783988341
Length 190 pages
Edition 1st Edition
Tools
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Author (1):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Getting started with Anaconda or Wakari

There are several approaches to setting up an IPython notebook environment. We suggest you use Anaconda, a free distribution designed for large-scale data processing, predictive analytics, and scientific computing. Alternatively, you can use Wakari, which is a web-based installation of Anaconda. Wakari has several levels of service, but the basic level is free and suitable for experimenting and learning.

Tip

We recommend that you set up both a Wakari account and a local Anaconda installation. Wakari has the functionality of easy sharing and publication. This local installation does not require an Internet connection and may be more responsive. Thus, you get the best of both worlds!

Installing Anaconda

To install Anaconda on your computer, perform the following steps:

  1. Download Anaconda for your platform from https://store.continuum.io/cshop/anaconda/.
  2. After the file is completely downloaded, install Anaconda:
    • Windows users can double-click on the installer and follow the on-screen instruction
    • Mac users can double-click the .pkg file and follow the instructions displayed on screen
    • Linux users can run the following command:
      bash <downloaded file>
      

Note

Anaconda supports several different versions of Python. This book assumes you are using Version 2.7, which is the standard version that comes with Anaconda. The most recent version of Python, Version 3.0, is significantly different and is just starting to gain popularity. Many Python packages are still only fully supported in Version 2.7.

You have been reading a chapter from
IPython Notebook Essentials
Published in: Nov 2014
Publisher:
ISBN-13: 9781783988341
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