Develop Python applications using an enterprise approach with unit and acceptance tests, following agile methodologies to create a minimally viable product and iteratively adding features. Key Features Build two dozen projects to demonstrate mastery of Python and related technologies Build a personal project portfolio that can be an important adjunct to a resume or CV Learn about data acquisition, preparation, and analysis applications Book DescriptionIn today's job market, a project portfolio often outshines a traditional resume for developers. This guide empowers you to grasp crucial Python concepts while building complete modules and applications that resonate in real-world scenarios. With two dozen meticulously designed projects, showcase your Python mastery and refine your skills further. Tailored for those with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. Harness both the standard library and key external projects like Jupyter Lab, pydantic, pytest, and requests. Embrace an enterprise-oriented methodology, including unit and acceptance testing, and an agile development approach. Dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features. Whether you're a developer with a working knowledge of Python programming, looking for projects to demonstrate their skills or a developer who want more background in building complete applications that include comprehensive test cases and documentation. his book's practical approach empowers you to craft deployable projects that exhibit your Python proficiency, paving the way for a successful career.What you will learn Core deliverables for an application including documentation and test cases Some approaches to data acquisition including file processing, RESTful APIs, and SQL queries Creating a data inspection notebook to establish properties of source data Writing applications to validate, clean, convert, and normalize source data Use some foundational graphical analysis techniques to visualize data Build basic univariate and multivariate statistical analysis tools Create reports from raw data using Jupyter Lab publication tools Who this book is forBeginner to Intermediate level Python Programmers. It is an outright projects book and it assumes the reader to understand basic programming concepts which they have studied during the college times and basic Python understanding like Syntax and writing simple programs. Rest of the book can be interactive project. People knowing programing and seeking jobs can be an ideal readers of the book.

About the Author
Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him residing on a boat, often anchored along the vibrant east coast of the US. He tries to live by the words "Don't come home until you have a story."


Book Information
ISBN 9781803246765
Author Steven F. Lott
Format Paperback
Page Count 478
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited