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

Understanding anonymous (lambda) functions

In some cases, it is convenient to declare simple one-time functions in place; for that, we can use lambdas – anonymous functions (they are anonymous in the sense that you won't store them in-memory, so there is no name for them). Lambdas use simplified syntax:

lambda <arguments>: <code> 

Note that there is no return keyword – lambda will return the result of the code automatically. It also does not accept multiline code.

Take a look at this example:

models = [
‘Bimbus-3000',
‘Nimbus-1000',
‘Timbus-2000'
]

sort(models, key=lambda x: x[-4:])

The output for the preceding code would be as follows:

>>> [‘Nimbus-1000',‘Timbus-2000', ‘Bimbus-3000']

Here, the array of strings are sorted – however, the string's alphanumeric...