Book Image

Learn Python by Building Data Science Applications

By : Philipp Kats, David Katz
Book Image

Learn Python by Building Data Science Applications

By: Philipp Kats, David Katz

Overview of this book

Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards.
Table of Contents (26 chapters)
Free Chapter
1
Section 1: Getting Started with Python
11
Section 2: Hands-On with Data
17
Section 3: Moving to Production

Working with the Nominatim API

In this particular case, we are going to use OSM's Nominatim service. Its API is simple, free, does not require authorization, and has a relatively open license. Moreover, as OSM is open source, we theoretically can add and improve its content, if that is necessary for our project.

In order to work with an API, we first need to read its documentation. Often, documentation includes example snippets of code to use with the service in question—the code is usually in Python. Nominatim's documentation can be found at nominatim.openstreetmap.org. According to it, to get information for a given address, we should send a request to the following URL:

https://nominatim.openstreetmap.org/search?

All our parameters—the address, response format, geographic limitations, and so on—need to be added using standard URL escaping (don...