PYTHON: 2 BOOKS in 1

PYTHON: 2 BOOKS in 1
ePUB
  • eBook:
    PYTHON: 2 BOOKS in 1: Learn the art of computer programming with the most complete crash course for data science. Master as a pro machine learning, applied artificial intelligence & Arduino in 7 days
  • Author:
    Jason Test
  • Edition:
    -
  • Categories:
  • Data:
    September 27, 2020
  • ISBN:
    B08K9ZXGJC
  • ISBN-13:
    -
  • Language:
    English
  • Pages:
    160 pages
  • Format:
    ePUB

Book Description
Are you looking for a super-fast computer programming course?
Would you like to learn the Python Programming Language and machine learning in 7 days?
Do you want to increase your online business thanks to the web applications?

If so, keep reading: this bundle book is for you!

Finally on launch the most complete Python guide with 2 Manuscripts in 1 book:

1-Python for beginners
2-Python crash course

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.
I’d like to say that Python can be complicated, and the whole concept of Data Analysis can be daunting to starters. You have to take time and study the whole concept before you start to be proficiency.
But this book will be your guide: the following list is just a tiny fraction of what you will learn in this collection bundle.

1) Python for beginners

✓ The basics of Python programming
✓ Differences among programming languages
✓ Vba, SQL, R, Python
✓ Game creation with Pyhton
✓ Easy-to-follow steps for reading and writing codes.
✓ Control flow statements and Error handling
✓ 3 best strategies with NumPy, Pandas, Matplotlib
✓ Python design patterns
✓ 5 Most important Machine Learning Algorithms

2) Python Crash Course
• The basics of Python programming 
• Differences among programming languages: Vba, SQL, R, Python
• 4 reasons why Python is fundamental for Data Science
• Introduction to some Python libraries, including NumPy, Pandas, Matplotlib.
• Python design patterns
• Business application of  Python Data Analysis 
• Optimal tools and techniques for data mining
• Analysis of popular Python projects templates
• Game creation with Pyhton
Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding.
Examples  and step-by-step exercises will guide you during the code-writing learning process.

Content

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