Book Image

Python Real-World Projects

By : Steven F. Lott
5 (1)
Book Image

Python Real-World Projects

5 (1)
By: Steven F. Lott

Overview of this book

In today's competitive job market, a project portfolio often outshines a traditional resume. Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills. Tailored for beginners with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. You’ll learn how to harness the potential of the standard library and key external projects like JupyterLab, Pydantic, pytest, and requests. You’ll also gain experience with enterprise-oriented methodologies, including unit and acceptance testing, and an agile development approach. Additionally, you’ll dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features. By the end of this book, you’ll be armed with a myriad of practical Python projects and all set to accelerate your career as a Python programmer.
Table of Contents (20 chapters)
19
Index

Chapter 1
Project Zero: A Template for Other Projects

This is a book of projects. To make each project a good portfolio piece, we’ll treat each project as an enterprise software product. You can build something that could be posted to a company’s (or organization’s) internal repository.

For this book, we’ll define some standards that will apply to all of these projects. The standards will identify deliverables as a combination of files, modules, applications, notebooks, and documentation files. While each enterprise is unique, the standards described here are consistent with my experience as a consultant with a variety of enterprises.

We want to draw an informal boundary to avoid some of the steps required to post to the PyPI website. Our emphasis is on a product with test cases and enough documentation to explain what it does. We don’t want to go all the way to creating a project in PyPI. This allows us to avoid the complications of a build system...