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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 1980sโand named after Monty Pythonโthat'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. Review: Slowly working through the book. I am impressed with what I have seen thus far. - 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. Review: Don't expect to learn anything but you will have downloaded lots of stuff - 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 desertcart make that part of the process very simple.
| Best Sellers Rank | 1,201,077 in Books ( See Top 100 in Books ) 1,101 in Programming Languages & Tools 1,724 in Introduction to Programming |
| Customer Reviews | 4.4 out of 5 stars 256 Reviews |
T**W
Slowly working through the book. I am impressed with what I have seen thus far.
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.
S**H
Don't expect to learn anything but you will have downloaded lots of stuff
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.
N**A
This book is a must-have for every student of data science
This book is a must-have for every student of data science
H**N
Best Book for Beginners!
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.
D**A
Excellent Book and Price
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.
G**Y
Perfect gift for my son
Loved by my son, good service
K**V
Easy to learn
Good and understandable book also sources code is given in this book.
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