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Python for Data Science For Dummies by [John Paul Mueller, Luca Massaron]

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John Paul Mueller

Luca Massaron

Python for Data Science For Dummies 2nd Edition, Kindle Edition

by John Paul Mueller (Author), Luca Massaron (Author) Format: Kindle Edition

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The fast and easy way to learn Python programming and statistics

Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.

Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud.

Get started with data science and Python
Visualize information
Wrangle data
Learn from data

The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

ISBN-13

978-1119547624
Edition

2
Sticky notes

On Kindle Scribe
Publisher

For Dummies
Publication date

Jan. 29 2019
Language

English
File size

11391 KB
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Product description

From the Inside Flap

Learn Python data analysis programming and statistics
Write code in the cloud with Google Colab™
Wrangle data and visualize information

Relax! Data science doesn't have to be scary

Curious about data science, but a bit intimidated? Don't be! This book shows you how to use Python to do all sorts of cool things with data science. You'll see how to install the Anaconda tool suite, so working with Python is a breeze. You'll discover Google Colab, which lets you write code in the cloud using your tablet. You'll find out how to perform all kinds of interesting calculations using the latest version of Python. And you'll learn to use the various libraries that enable scientific statistical analysis, plotting and graphing, and much more.

Inside...

Python set-up for data science

Working with Jupyter Notebook

Conditioning and shaping data

Graphing with MatPlotLib

Ways to analyze your data

Getting more from Python

Useful data science algorithms

Ten essential data resources

--This text refers to the paperback edition.

From the Back Cover

Learn Python data analysis programming and statistics
Write code in the cloud with Google Colab™
Wrangle data and visualize information

Relax! Data science doesn't have to be scary

Curious about data science, but a bit intimidated? Don't be! This book shows you how to use Python to do all sorts of cool things with data science. You'll see how to install the Anaconda tool suite, so working with Python is a breeze. You'll discover Google Colab, which lets you write code in the cloud using your tablet. You'll find out how to perform all kinds of interesting calculations using the latest version of Python. And you'll learn to use the various libraries that enable scientific statistical analysis, plotting and graphing, and much more.

Inside...

Python set-up for data science

Working with Jupyter Notebook

Conditioning and shaping data

Graphing with MatPlotLib

Ways to analyze your data

Getting more from Python

Useful data science algorithms

Ten essential data resources

--This text refers to the paperback edition.

Product details

ASIN ‏ : ‎ B07N8K87CS
Publisher ‏ : ‎ For Dummies; 2 edition (Jan. 29 2019)
Language ‏ : ‎ English
File size ‏ : ‎ 11391 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Sticky notes ‏ : ‎ On Kindle Scribe
Print length ‏ : ‎ 465 pages
Page numbers source ISBN ‏ : ‎ 1119547628

Best Sellers Rank: #610,443 in Kindle Store (See Top 100 in Kindle Store)
- #920 in Python (Books)
- #1,000 in Computer Programming (Kindle Store)
- #2,208 in Programming Languages Textbooks

Customer Reviews:
200 ratings

About the authors

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John Paul Mueller
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John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 117 books and over 600 articles to date. He has also written his second children's book recently, Tail of the Wuggly Bump. His technical topics range from networking to artificial intelligence and from database management to heads down programming. His most recent book is "Machine Learning for Dummies, 2nd Edition." His technical editing skills have helped over 70 authors refine the content of their manuscripts. You can reach John on the Internet at John@JohnMuellerBooks.com and his Web site at: http://www.johnmuellerbooks.com. Make sure to read his blog at http://blog.johnmuellerbooks.com to obtain the latest book information, updates, and extra materials.
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Luca Massaron
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Luca Massaron is a data scientist and a research director specialized in multivariate statistical analysis, machine learning and customer insight with over a decade of experience in solving real world problems and in generating value for stakeholders by applying reasoning, statistics, data mining and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of top ten data scientist at competitions held by kaggle.com, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and non-experts. Favouring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essential.
See more on the author's page

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Customer reviews

4.3 out of 5

200 global ratings

5 star		62%
4 star		21%
3 star		10%
2 star		3%
1 star		4%

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Top reviews from Canada

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Danielle B. Fonseca

Excellent Book and Price

Reviewed in Canada 🇨🇦 on May 11, 2020

Verified Purchase

Excellent book. Lots of examples and good explanation in relation to the codes and results. However, it is necessary to explain the inputs when using database from the libraries (e.g. load_digits, boston_data) when they are presented at first time. The chapter of clustering very confuse, it is necessary to start with small examples. The book should have colours and better quality of paper, but for the price is fair enough.

Reviewed in Canada 🇨🇦 on May 15, 2022

Verified Purchase

The first 60 pages are among the worst I've ever encountered, bouncing randomly among topics, so that you often don't know what you're reading without a guess. The writing is verbose, saying very little, paragraph after paragraph. To shrink it down, they used a tiny font and minimal line spacing, making it difficult to read or to highlight the few useful bits. The list of failings goes on and on. This is a horrible book.

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Top reviews from other countries

Stuart Walsh

Don't expect to learn anything but you will have downloaded lots of stuff

Reviewed in the United Kingdom 🇬🇧 on January 28, 2023

Verified Purchase

I bought this because the Data Science Bootcamp was / is just a little bit too tough going (what did I expect?!) and I wanted to learn with a few more gentle examples and explanations before stampeding towards the hard-core Data Science. Therefore I ordered this to ease me into Data Science with Python. The book is very liberally padded with very little information about DS. You have to get to the page 100 and something before data is even mentioned in the context of analysing it. Also, it has the hallmark of an amateur who doesn't really know what they're doing or talking about stamped all over it. Forget about the endless URLs where you can download all sorts of IDEs or DS frameworks. Gloss over where, before downloading a piece of software for the Mac you are told to read the Terms and Conditions "...to make sure you understand them" Ignore the fact that PyCharm (only one of the most used Python IDEs in the World) is never mentioned.
Whenever a programming book gives example of tables that are pitifully small, hard-coded and contain data such as 'Apples', 'Pears' 'Oranges' 'Bananas', you know you are in the hands of an amateur.
Nobody in the history of professional data science has every hard-coded a 6x6 dimensioned table containing a list of 4 fruits for them to use that list to use it and obtain meaningful results. Nobody. Ever.
Don't waste your money buying this bilge or your time when you have to send it back - But Amazon make that part of the process very simple.

TfW

Slowly working through the book. I am impressed with what I have seen thus far.

Reviewed in the United Kingdom 🇬🇧 on April 1, 2022

Verified Purchase

The books written by John Mueller et al are very easy to read and are great primers for budding Python Data Analytics/Data Scientists. I look forward to finishing this, my second book from John on Python Programming and will look forward to any future titles that he writes on this subject.

Devendra Kumar

Good book for starters

Reviewed in India 🇮🇳 on June 28, 2020

Verified Purchase

Got this book from Amazon in time with reasonable price and discount. Content wise, the book covers sufficient material to get you started. But you definitely need to go beyond (after reading this book) if you are serious about learning data science with Python. The authors could have done a great job had they provided some exercises at the end of every chapter.

2 people found this helpful

Aditi

*********just theoretical******

Reviewed in India 🇮🇳 on January 6, 2021

Verified Purchase

No coding/ programming fundamental details. If someone looking for just theoretical then can buy else please don’t waste your time & money.

3 people found this helpful

Hamdan

Best Book for Beginners!

Reviewed in India 🇮🇳 on March 21, 2021

Verified Purchase

It's one of the best book if you are starting from scratch and want to become like a Pro. It's for everyone whether you may be a student / professor / an employee.

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Follow the Authors

Python for Data Science For Dummies 2nd Edition, Kindle Edition

Product description

From the Inside Flap

From the Back Cover

About the Author

Product details

About the authors

John Paul Mueller

Luca Massaron

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