Python Programming: 2 Books in 1: Python for Beginners and for Data Analysis. The Ultimate Crash Course with Hands-on Exercises, Step-by-Step Guidance ... to Data Analysis.

by Andrew Park

Master the world of Python and Data Analysis with this incredible 2-in-1 Bundle.

If you want to learn Python Programming in one week (or less) and learn it well, with useful applications to Data Analysis, then keep reading.

Python is considered to be among the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language.

That’s why one of the best real-world applications is Data Analysis.

Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.

This bundle explains every single detail that you must know to start using Python and underlines the main steps that are needed to correctly implement Data Analysis.

In book one, PYTHON FOR BEGINNERS, you will learn about:

How to install Python What are the different Python Data Types and Variables Basic Operators of Python Language Data Structures and Functions Conditional and Loops in Python Object-Oriented Programming (OOP), Inheritance and Polymorphism Essential Programming Tools and Exception Handling Working with Files An application to Decision Trees And Much More!

In book two, PYTHON FOR DATA ANALYSIS, you will learn:

What Data Analysis is all about and why businesses are investing in this sector The 5 steps of a Data Analysis The 7 Python libraries that make Python one of the best choices for Data Analysis Pandas, Jupyter and PyTorch Neural Network How Data Visualization and Matplotlib can help you to understand the data you are working with. Some of the main industries that are using data to improve their business with 14 real-world applications And So Much More!

Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.

Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.

This book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts.

256 pages, Kindle Edition

Published January 15, 2020

Reviews

[Hilary Smith · Rating 5 out of 5]

Collection of books to start with

The Collection has easy projects to cement what I learned through reading. My brother is considering going back to school for software programming and I thought this collection would be a great introduction. I figured if I can do it he won't have a problem with it. I recommend anyone considering any type of computer programming read these books. If only to get a glimpse of what you'll be learning.

[Onawa Brewer · Rating 5 out of 5]

Top-notch help

If you are interested in learning Python programming methods this book is a good place to start. Park gives before and after examples with easy to follow instructions.