Real-world Python: A Hacker's Guide to Solving Problems With Code

Vaughan, Lee

ISBN 10: 1718500629 / ISBN 13: 9781718500624

Editore: No Starch Pr, 2020

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370 pages. 9.00x6.75x1.00 inches. In Stock. Codice articolo __1718500629

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Titolo: Real-world Python: A Hacker's Guide to ...

Casa editrice: No Starch Pr

Data di pubblicazione: 2020

Legatura: Paperback

Condizione: Brand New

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Riassunto:

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 introduced to important modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, Requests, HoloViews, Tkinter, turtle, matplotlib, and more. You'll create complete, working programs and think through intriguing projects that show you how to:

Save shipwrecked sailors with an algorithm designed to prove the existence of God

Detect asteroids and comets moving against a starfield

Program a sentry gun to shoot your enemies and spare your friends

Select landing sites for a Mars probe using real NASA maps

Send unbreakable messages based on a book code

Survive a zombie outbreak using data science

Discover exoplanets and alien megastructures orbiting distant stars

Test the hypothesis that we're all living in a computer simulation

And more!

If you're tired of learning the bare essentials of Python Programming with isolated snippets of code, you'll relish the relevant and geeky fun of Real-World Python!

Informazioni sull?autore:

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.