Real-world python : a hacker's guide to solving problems with code / by Lee Vaughan.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781718500624
- 1718500629
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | Item holds | |
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Main Library | NonFiction | 005.133 V367 | Available | 33111010437834 |
Enhanced descriptions from Syndetics:
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 GodDetect asteroids and comets moving against a starfieldProgram a sentry gun to shoot your enemies and spare your friendsSelect landing sites for a Mars probe using real NASA mapsSend unbreakable messages based on a book codeSurvive a zombie outbreak using data scienceDiscover exoplanets and alien megastructures orbiting distant starsTest the hypothesis that we're all living in a computer simulationAnd 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!
Includes bibliographical references and index.
"A book of varied coding projects for readers who know a little Python already and want to expand their skills. Save shipwrecked sailors, discover exoplanets, and more, while gaining experience using free modules like OpenCV, NumPy, Pandas, NLTK, Bokeh, Beautiful Soup, and matplotlib"-- Provided by publisher.