Real-World Python, 9781718500624
Paperback
Tackle real-world problems and build fun, geeky Python projects.

Real-World Python

a hacker's guide to solving problems with code

$82.43

  • Paperback

    360 pages

  • Release Date

    4 November 2020

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Summary

Unleash Your Inner Pythonista: Real-World Projects to Ignite Your Skills

You’ve mastered the basics, now it’s time to unleash the power of Python! Real-World Python takes you beyond the fundamentals with a project-based approach designed to solve intriguing and challenging problems.

Through hands-on projects, you’ll dive into:

  • Sophisticated computer vision
  • Machine learning
  • Data analysis
  • Language processing

You’…

Book Details

ISBN-13:9781718500624
ISBN-10:1718500629
Author:Lee Vaughan
Publisher:No Starch Press,US
Imprint:No Starch Press,US
Format:Paperback
Number of Pages:360
Release Date:4 November 2020
Weight:700g
Dimensions:235mm x 178mm
What They're Saying

Critics Review

“Python programmers with a little bit of experience, looking for a fun challenge that relates to real-world examples, should read [this book].” –Geek Tech Stuff

“Python programmers with a little bit of experience, looking for a fun challenge that relates to real-world examples, should read [this book].”—Geek Tech Stuff“I recommend this book for all Python learners!” —Kelly Paredes, Teaching Python podcast“This is the most amazing book anyone could pick up if they are unsure about what machine learning job they should focus on.”—Ian Mizer, Atlanta Python Programmers Group“Read this book and do the work. You will find yourself building programs that address real-world problems and readying yourself to attack similarly challenging problems in whatever field you are working.” —Sandra Henry-Stocker, Linux journalist, NetworkWorld (IDG)

About The Author

Lee Vaughan

Lee Vaughan is a programmer, pop culture enthusiast, educator, and author of Impractical Python Projects (No Starch Press). As a former executive-level scientist at ExxonMobil, he spent decades constructing and reviewing complex computer models, developed and tested software, and trained geoscientists and engineers.

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