Getting a Good Anaconda Install

Some people may have misinterpreted the content at the beginning of Chapter 3 in Python for Data Science for Dummies. It isn’t necessary to install the products listed in the Considering the Off-the-Shelf Cross-Platform Scientific Distributions section starting on Page 39. These products are for those of you who would like to try a development environment other than the one used in the book, which is Anaconda 2.1.0. However, unless you’re an advanced user, it’s far better to install Anaconda 2.1.0 so that you can follow the exercises in the book without problem. Installing all of the products listed in Chapter 3 will result in a setup that won’t work at all because the various products will conflict with each other.

Because Continuum has upgraded Anaconda, you need to download the 2.1.0 version from the archive at https://repo.continuum.io/archive/.There are separate downloads for Windows, Mac OS X, and Linux.  The chapter tells you precisely which file to download.  For example, for Windows you’d download Anaconda-2.1.0-Windows-x86_64.exe. The point is to use the same version of Anaconda as you find in the book. You can find the installation instructions on Page 41 if you have a Windows system, Page 45 if you have a Linux system, or Page 46 if you have a Mac OS X system.  Make sure you download the databases for the book by using the procedures that start on page 47.

Following this process is the best way to ensure you get a good installation for Python for Data Science for Dummies. Luca and I want to make certain that you can use the book to discover the wonders of data science without having to jump through a lot of hoops to do it. Please feel free to contact me at [email protected] if you have any questions about the installation process.

 

Author: John

John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 123 books and over 600 articles to date. The topics range from networking to artificial intelligence and from database management to heads-down programming. Some of his current offerings include topics on machine learning, AI, Python programming, Android programming, and C++ programming. His technical editing skills have helped over more than 70 authors refine the content of their manuscripts. John also provides a wealth of other services, such as writing certification exams, performing technical edits, and writing articles to custom specifications. You can reach John on the Internet at [email protected].