Python Real-World Projects: Craft your Python portfolio with deployable applications by Steven F. Lott ISBN 9781803246765, 1803246766 instant download

Python Real-World Projects: Craft your Python portfolio with deployable applications by Steven F. Lott ISBN 9781803246765, 1803246766 instant download

Develop Python applications using an enterprise-based approach with unit and acceptance tests by following agile methods to create a minimum viable product (MVP) and iteratively add features Key FeaturesMaster Python and related technologies by working on 12 hands-on projectsAccelerate your career by building a personal project portfolioExplore data acquisition, preparation, and analysis applicationsBook DescriptionIn 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. What you will learnExplore core deliverables for an application including documentation and test casesDiscover approaches to data acquisition such as file processing, RESTful APIs, and SQL queriesCreate a data inspection notebook to establish properties of source dataWrite applications to validate, clean, convert, and normalize source dataUse foundational graphical analysis techniques to visualize dataBuild basic univariate and multivariate statistical analysis toolsCreate reports from raw data using JupyterLab publication tools…