You want to learn Python for data analysis using NumPy, Pandas, and IPython, and you don’t know how to start? You don’t need a big boring and expensive textbook. This book is the best one for everyone.
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Why this book?
Here are the reasons:
The author has explored everything about python for data analysis using pandas, NumPy, Ipython and Matplotlib libraries from the basics.
- A simple language has been used.
- Many examples have been given, both theoretically and programmatically.
- Screenshots showing program outputs have been added.
The book is written chronologically, in a step-by-step manner.
Book Objectives:
The Aims and Objectives of the Book:
- To help you understand why you should choose Python for data analysis tasks.
- To help you know the various data analysis libraries supported by Python and how to use them.
- To help you know how to analyze your business data and draw meaningful insights for effective decision making.
- To equip you with data analysis skills using Python programming language.
- To help you know where data analysis is applied today and how to use it in your everyday life.
Who is this Book is for? :
Here are the target readers for this book:
- Anybody who is a complete beginner to data analysis with Python or data analysis in general.
- Anybody who wants to advance their data analysis skills with Python programming language.
- Anybody who wants to know how to use data analysis for the benefit of their business or brand.
- Professionals in data science, computer programming, computer scientist.
- Professors, lecturers or tutors who are looking to find better ways to explain python for data analysis to their students in the simplest and easiest way.
- Students and academicia
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