Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and Answer from Beginners to Advanced

Oscar Scratch

ISBN 10: 1696532051 / ISBN 13: 9781696532051

Published by Independently Published, 2019

About this Item

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 358.

Seller Inventory # C9781696532051

Bibliographic Details

• Title: Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and Answer from Beginners to Advanced
• Publisher: Independently Published
• Publication Date: 2019
• Language: English
• ISBN 10: 1696532051
• ISBN 13: 9781696532051
• Binding: Paperback / softback
• Condition: New
• Weight: 358 grams

About this title

Synopsis

If you want to learn from scratch how to use python simply, then keep reading.

Did you ever think that programming code is not something for you?

Did you ever think that it can’t be simple and smart?

Put away your credentials and get prepared to immerse yourself in a basic crash course of data analysis, Pandas and Numpy even if you are a beginner with no knowledge about programming.

Python is a high-level programming language, released for the first time in 1991 by its creator Guido van Rossum, a Dutch programmer currently operating in Dropbox. Python is used by thousands of people to do things from the power of Instagram, to building video games with the PyGame library.

Often programming is seen as something complicated:

·         we fear the effort that goes into learning a new programming language

·         the books available on Python Programming are too complicated to        understand and learn

·         it is difficult to find information that really improve your knowledge

For these reasons, this book can help you to start from zero with data analysis.

In This book you will find out:

·         Why python data analysis is so important and how to use it for the benefit of your business or brand.

·         How to Bridge your data analysis with the power of programming

·         How to improve your skills using Python programming language.

·         How data analysis is applied today and how to use it in your everyday life.

·         What Numpy is and its characteristics

·         What Panda is and its characteristics

Even if you‘ve never studied programming code or computer technology, thanks to this book you can learn and apply Python techniques in just 21 days.

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