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

Chapter 7

What does the term web scraping mean?

Web scraping is the process of collecting information directly from HTML web pages. Just like mining, we have to first collect ore of the HTML, from which we can then refine the valuable data points.

What are the main differences between scraping and using a web API? What are the challenges?

The main difference is the lack of any guarantees there is no promise that the web page won't change in terms of its structure, or will be shown at all. In fact, many services actively attempt to prevent web scraping. Another challenge is processing raw HTML into valuable information, as it often requires some custom code.

What exactly does Beautiful Soup do? Can we scrape without it?

In our stack (requests and BeautifulSoup), the latter allows us to navigate the document and query it, pulling specific values. We can definitely...