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

12.4 Summary

This chapter integrated a number of application programs under the cover of a single RESTful API. To build a proper API, there were several important groups of skills:

  • Creating an OpenAPI specification.

  • Writing a web service application to implement the OpenAPI specification.

  • Using a processing pool to delegate long-running background tasks. In this example, we used concurrent.futures to create a future promise of results, and then compute those results.

The number of processes involved can be quite daunting. In addition to the web service, there is a processing pool, with a number of sub-processes to do the work of acquiring and cleaning data.

In many cases, additional tools are built to monitor the API to be sure it’s running properly. Further, it’s also common to allocate dedicated servers to this work, and configure supervisord to start the overall service and ensure the service continues to run properly.