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Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?
If yes, then this Python Crash Course is for you. This is the most complete Python guide with 2 Manuscripts in 1 book:
1-Python For Beginners
2- Python Programming
A great opportunity: Simplicity, Best Order and Selection of topics to Learn Fast and Selected Practice Exercises and Examples.
In Manuscripts 1 "Python 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 programming" 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...
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