Real-World Python
A Hacker's Guide to Solving Problems with Code
$67.59
- Paperback
360 pages
- Release Date
5 November 2020
Summary
A project-based approach to learning Python programming for beginners. Intriguing projects teach you how to tackle challenging problems with code.
You’ve mastered the basics. Now you’re ready to explore some of Python’s more powerful tools. Real-World Python will show you how.
Through a series of hands-on projects, you’ll investigate and solve real-world problems using sophisticated computer vision, machine learning, data analysis, and language processing tools. You’ll be intr…
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: | 5 November 2020 |
| Weight: | 700g |
| Dimensions: | 235mm x 178mm |
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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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