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Learn Python by Building Data Science Applications

Learn Python by Building Data Science Applications

By : Kats, Katz
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Learn Python by Building Data Science Applications

Learn Python by Building Data Science Applications

3 (3)
By: Kats, 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)
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1
Section 1: Getting Started with Python
11
Section 2: Hands-On with Data
17
Section 3: Moving to Production

Downloading materials for running the code

All code in this book is also available as a separate archive of files—either Python scripts or Jupyter notebooks. You can download the full archive and follow along with the book using the relevant code from GitHub (https://github.com/PacktPublishing/Learn-Python-by-Building-Data-Science-Applications). Everything is stored on GitHub, which is an online service for code storage with version control. We will discuss both Git and GitHub in Chapter 9, Shell, Git, Conda, and More – at Your Command, but in this case, you won't need version control, so it is easier to download everything as an archive. Just use the Clone or download button on the right side (1), and select Download ZIP (2):

Once the download is complete, unzip the file and move it to a convenient location. This folder will be our main workspace throughout...

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Learn Python by Building Data Science Applications
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