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Quantum Physics with Python: Step by step guide to master machine learning and computer programming. Learn the deepest secrets of the law of attraction and Q mechanics - Brossura

 
9789918608867: Quantum Physics with Python: Step by step guide to master machine learning and computer programming. Learn the deepest secrets of the law of attraction and Q mechanics

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"Your Client Will Appreciate This fabulous guide with unique contents"


"Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning" 

Are you looking for a super-fast computer programming course?

Would you like to learn the Python Programming Language in 7 days?

Do you want to increase your business thanks to the web applications?

Finally on launch the most complete Python+Quantum Physics guide with 3 Manuscripts in 1 book!

This is a challenging tool to find real help with many unique contents that indirectly will answer to your doubts:

1-Python for Data Science

2-Python Crash Course

3-Quantum Physics for Beginners


QUANTUM PHYSICS WITH PYTHON will introduce you many selected practices for coding.

You will discover as a beginner the world of data science, machine learning and artificial intelligence.

The following list is just a tiny fraction of what you will learn in this collection bundle.


1) PYTHON CRASH COURSE

✓3 reasons why Python is fundamental for Data Science

✓How to use Python Data Analysis in your business

✓ How to set up the Python environment for Data Science

✓Most important Machine Learning Algorithms


2) PYTHON FOR DATA SCIENCE 

✓ A Proven Method to Write your First Program in 7 Days

✓The One Thing You Need to Debug your Codes in Python

✓5 Practical exercises to start programming


3) QUANTUM PHYSICS FOR BEGINNERS 

✓The law and principles of quantum physics and the law of attraction;

✓The power of quantum

✓Differences between Quantum cryptography and Quantum computers

Examples and step-by-step guides will guide you during the code-writing learning process.  



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  • EditoreIndependently Published
  • Data di pubblicazione2021
  • ISBN 10 9918608862
  • ISBN 13 9789918608867
  • RilegaturaCopertina flessibile
  • LinguaInglese
  • Numero di pagine392

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Editore: Independently Published, 2021
ISBN 10: 9918608862 ISBN 13: 9789918608867
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