• Python for Data Science

  • Comprehensive Guide of Tips and Tricks Using Python Data Science Theories
  • By: Ethan Williams
  • Narrated by: Dave Wright
  • Length: 7 hrs and 41 mins
  • 4.7 out of 5 stars (14 ratings)

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Publisher's Summary

Python for Data Science is a comprehensive guide about how to perform data science with Python. This book is for students, researchers, and developers who are technically minded and have a wide background in writing code as well as using numerical and computational tools. However, many of you may not wish to learn Python, but instead wish to learn the language in hopes of utilizing it as a means for computational and data-intensive science.

The aim of this book is not meant to serve as a kind of introduction to Python or even programming in general; we presume listeners will get their hands on this, already possess ample amount of knowledge in the Python language, which includes assigning variables, defining functions, controlling a program's flow, calling methods of objects, and other basic operations. Rather, the book was put together to assist users of Python to understand how to use the data science stack of Python – with libraries including NumPy, Pandas, Matplotlib and other such tools - with the aim of effectively manipulating, storing, and getting data insight.

In this book, we'll cover a variety of topics, including several libraries, such as NumPy that offers the ndarray for efficient manipulation and storage of dense data arrays in Python. Then you'll be able to learn how to manipulate data using Pandas, a library that offers the DataFrame object for efficient manipulation and storage of columnar/label data in Python.

After that, we'll talk about the Matplotlib library and how it provides a range of flexible data visualization capabilities in Python. Then we'll talk the types of machine learning involved including supervised and unsupervised learning. Lastly, we'll finish with multiple regression analysis, which is a combination of techniques that help us study the straight-line relations between two or more variables.

In addition, this book is backed by a series of examples and case studies to help clarify anything that is a little too hard for you to absorb. We are confident that you will make fine a data scientists going forward!

©2020 Ethan Williams (P)2020 Ethan Williams

What listeners say about Python for Data Science

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Excellent book

This book contains some very unique and powerful strategy concepts not found in any other books.

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Great book

This book phenomenal reason these book's tips are extremely useful.I would recommend this book to anybody.

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Informative book

The content is delivered well. However, the picky part of me wonders why they used a picture of an this topic on the book's front cover.

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Thanks to the author

Thanks to author for this incredible book. I found numerous helpful things inside the book. The direct for amateurs part is an unquestionable requirement perused the book is straightforward and composed well.Would prescribe this to companions without a doubt.

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Good to listen

The basics of this subject are well explained in this book. Shows examples in detailed but easy to follow chapters. Highly recommend!

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Useful book

Awesome introduction to practical guide! This book is impressive. I slanted such tremendous quantities of effective things from this book.

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Perfect book

This book was very informative and it helped me to be easier with preparing for the lesson. I highly recommend it for people who all are interested in listening books.

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Useful book

The book fascinated me every single page. Whatever gratitude to the writer and must be prescribed for this book.

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Easy to understand

This book phenomenal reason these book's tips are extremely useful.I would recommend this book to anybody.

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Pretty good

I am currently taking a Machine Learning course from Udacity and this book has proven to be a great reference guide for several projects and quizes. Although it does not go in depth in regards to machine learning (although almost half of the book is dedicated to it)

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  • Williamson
  • 04-25-20

best concept

Helpful tools to end binging. Follow up information that's made available is an important bonus. I highly recommend the book.

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  • Suresh
  • 04-23-20

recommended

I found this book very useful lots of great ideas and very easy step by step illustrations I would recommend it to anyone the book also arrived early

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  • Hardick
  • 04-23-20

useful guide

I am no artist, but this has the basic information and examples that I needed. Saw it for much more and checked with Amazon the the book. Got it. If you are looking for a good beginner book, it's the one.

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  • Dharif
  • 04-16-20

Great book

Still listening to it but really a good book for novice and more advanced users

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  • Hathif
  • 04-16-20

Best

Perfect. Do yourself a favor and buy this book when you buy your first audio book.

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  • Raji
  • 04-14-20

Good to listen

The book is concise and to the point. The author provides the book describes statistical tools in good detail, in my view experienced systems developers get more value from it than those who are just starting out.