Do your customers want to learn Python Programming well and fast?Do you want to make sure that by buying just one book they will come back to buy again and again?Then, You Need This Book in Your Library and... Your Customers Will Never Stop to Use and Gift It

? - WHY THIS BOOK CAN HELP YOUR CUSTOMERS

This Python Programming Crash Course is for you. This is the most complete Python guide with 2 Manuscripts in 1 book:

1- Python Programming For Beginners

2- Python for Data Analysis

A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.

In Manuscripts 1 "Python Programming For Beginners" you'll learn:

What is Python
How to install Python and what is the best distribution
What are data types and variables
How to work with numbers in Python
What operators there are in Python and when to use them
How to manipulate Strings
How to implement Program Flow Controls
How to implement loops in Python
What are Python lists, Tuples, Sets, Dictionaries, and how to use them
How to create modules and functions
How to program according to the Object-Oriented paradigm
How to create classes
What are and how to use Inheritance, Polymorphism, Abstraction, and Encapsulation

And much more...

In Manuscript 2 "Python for Data Analysis" you'll learn:

What Data Analysis is and why it is important
What are the different types of Data Analysis
What are the 6 key steps of the Data Analysis process that you should follow
What are the applications of Data Analysis and Analytics
How to set up the Python environment for Data Analysis
What are and how to use Python Data Structures
How to work with IPython/Jupyter Notebook
How to work with NumPy
How to visualize data with Matplotlib
What other visualization libraries are out there
Why is Big Data important and how to get the best out of it
How to leverage Neural Networks for Data Analysis

And much more...

Buy it NOW and let Your Customers get addicted to this amazing book

Python Programming Crash Course - pocket, Engelsk, 2021