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Chapter 1. An Introduction to NumPy "I'd rather do math in a general-purpose language than try to do general-purpose programming in a math language."                                                                                                                      -- John D Cook Python has become one of the most popular programming languages in scientific computing over the last decade. The reasons for its success are numerous, and these will gradually become apparent as you proceed with this book. Unlike many other mathematical languages, such as MATLAB, R and Mathematica, Python is a general-purpose programming language. As such, it provides a suitable framework to build scientific applications and extend them further into any commercial or academic domain. For example, consider a (somewhat) simple application that requires you to write a piece of software and predicts the popularity of a blog post. Usually, these would be the steps that you'd take to do this: 1. Generating a corpus of blog posts and their corresponding ratings (assuming that the ratings here are suitably quantifiable). 2. Formulating a model that generates ratings based on content and other data associated with the blog post. 3. Training a model on the basis of the data you found in step 1. Keep doing this until you are confident of the reliability of the model. 4. Deploying the model as a web service.