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Amr T Hands-On Machine Learning with scikit-learn Python 2020

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21 MB
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3
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Files
2
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at 11:56am GMT+1
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Infohash
b1d4cb11a1e6a38f2e495999bee67ca4487d011d
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Description
Textbook in PDF format

Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs. Each tiny project teaches you a new programming concept, from the basics of lists and strings right through to regular expressions and randomness.
Summary
A long journey is really a lot of little steps. The same is true when you’re learning Python, so you may as well have some fun along the way! Written in a lighthearted style with entertaining exercises that build powerful skills, Tiny Python Projects takes you from amateur to Pythonista as you create 22 bitesize programs. Each tiny project teaches you a new programming concept, from the basics of lists and strings right through to regular expressions and randomness. Along the way you’ll also discover how testing can make you a better programmer in any language.
About the technology
Who says learning to program has to be boring? The 21 activities in this book teach Python fundamentals through puzzles and games. Not only will you be entertained with every exercise, but you’ll learn about text manipulation, basic algorithms, and lists and dictionaries as you go. It’s the ideal way for any Python newbie to gain confidence and experience.
About the book
The projects are tiny, but the rewards are big: each chapter in Tiny Python Projects challenges you with a new Python program, including a password creator, a word rhymer, and a Shakespearean insult generator. As you complete these entertaining exercises, you’ll graduate from a Python beginner to a confident programmer—and you’ll have a good time doing it!
What's inside
Write command-line Python programs
Manipulate Python data structures
Use and control randomness
Write and run tests for programs and functions
Download testing suites for each project

File list
  • Amr T Hands-On Machine Learning with scikit-learn Python 2020
  • Amr T. Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits 2020.pdf 12.4 MB
  • Code.rar 8.2 MB

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