July 2016
Beginner to intermediate
462 pages
9h 14m
English
Content preview from Python Data Analysis CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
Appendix D. Tips and Tricks for Command-Line and Miscellaneous Tools
In this book we used various tools, such as the IPython notebook and Unix shell commands. We have a short list of tips, which is not meant to be exhaustive. For working with databases, I recommend the DbVisualiser software available at https://www.dbvis.com/ (retrieved January 2016). It supports all the major database products and operating systems. Also, I like to use text expanders in a desktop environment.
IPython notebooks
I explained a minimal workflow for notebooks. Also, I made simple IPython widgets, which were used throughout the book, so I will describe them here. To run the IPython notebook code, follow these steps:
- Start the IPython notebook either with your GUI or with ...