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 17
Next Steps

The journey from raw data to useful information has only begun. There are often many more steps to getting insights that can be used to support enterprise decision-making. From here, the reader needs to take the initiative to extend these projects, or consider other projects. Some readers will want to demonstrate their grasp of Python while others will go more deeply into the area of exploratory data analysis.

Python is used for so many different things that it seems difficult to even suggest a direction for deeper understanding of the language, the libraries, and the various ways Python is used.

In this chapter, we’ll touch on a few more topics related to exploratory data analysis. The projects in this book are only a tiny fraction of the kinds of problems that need to be solved on a daily basis.

Every analyst needs to balance the time between understanding the enterprise data being processed, searching for better ways to model the data, and effective...