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Key benefits

Master Python and related technologies by working on 12 hands-on projects

Accelerate your career by building a personal project portfolio

Explore data acquisition, preparation, and analysis applications

Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is for beginner-to-intermediate level Python programmers looking to enhance their resume by adding a portfolio of 12 practical projects. A basic understanding of the Python language and its aligned technologies is a must. The book helps you polish your Python skills and project-building prowess without delving into basic Python fundamentals.

What you will learn

Explore core deliverables for an application including documentation and test cases

Discover approaches to data acquisition such as file processing, RESTful APIs, and SQL queries

Create a data inspection notebook to establish properties of source data

Write applications to validate, clean, convert, and normalize source data

Use foundational graphical analysis techniques to visualize data

Build basic univariate and multivariate statistical analysis tools

Create reports from raw data using JupyterLab publication tools

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Tiny Oct 10, 2023

This book was a truly different learning experience. Rather than focusing on some principles with small projects, it is massive project after massive project. The approach to building nd learning items is awesome, and could be an excellent reference for those developing exclusively in Python. Even without that emphasis, the access to the GitHub pieces to explore and template. It always helps me to be able to look through how others solve problems, and this did exactly that for me. If the hardest part of coding for you is getting started with that template, you could definitely use this book.

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Konstantin Mazanik Nov 14, 2023

Overall, it is a great book! Not for beginners, this book is for experienced programmers who want to improve their skills by completing professional-level Python projects. It’s also for developers who need to display their skills by demonstrating a portfolio of work. The included projects require a wide variety of skills, including software and data architecture, design, Python programming and test design. You can download the code bundle for the book on GitHub.This book is all about data handling. The great and unique feature of the book is that it provides big project after another big project. Starting with Acquiring Data From Sources, the first six projects will cover projects to acquire data for analytic processing from a variety of sources. Next topic Inspect and Survey includes five projects to inspect data to make sure it’s usable, and diagnose odd problems, outliers, and exceptions. The general analytics pipeline moves on to Cleaning, Converting, and Normalizing. There are eight projects that tackle these closely-related problems. The useful results begin with Presenting Summaries. There’s a lot of variability here, so only two project ideas included. This book winds up with two small projects covering some basics of Statistical Modeling. Author encourages you to continue your study of Python applications in the data science realm.Completion of the projects will place you on another level in Python. Enjoy the challenge in every project!

POE Oct 09, 2023

The projects presented in the book are presented with a focus on how to approach them. The projects are not completed, they are meant to help the reader get started and finish on their own based on the approaches detailed in the book. This is not the normal programming book that provides all source code and then explains it – this requires more from the reader. Personally, I think this is a great approach. We learn to program by programming and this book will push you to the limit.

K Lavanya Nov 10, 2023

"Python Real World Objects" appears to provide a practical, project-based approach to mastering data handling in Python. It walks us through the full data analytics pipeline, from data acquisition to statistical modeling. With its focus on real-world applications and step-by-step projects, the book offers valuable insights to enhance our skills.The gradual project methodology used in the book, together with the incorporation of concepts such as online APIs and JSON Schema, helped me to become familiar with the complexities of processing data at the business level.

AlbertoEG Oct 19, 2024

Unprofessional content formatting/layout. Repetitive content. Incomplete code provided.It seems like the text has been automatically generated and then adapted or revised.I don't understand the other reviews, with 5 stars. They encouraged me to buy this book, but now I feel deceived.

Python Real-World Projects: Craft your Python portfolio with deployable applications

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