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Python for Data Science For Dummies (For Dummies (Computer/Tech))
Ebook Free Python for Data Science For Dummies (For Dummies (Computer/Tech))
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From the Back Cover
Learn to: Take advantage of Python data analysis programming Work with Python objects, functions, modules, and libraries Apply statistical concepts such as probability and random distributions Use NumPy, SciPy, Scikit-learn, and Pandas libraries Wow 'em with your mastery of Python for managing and analyzing data! Python is a programming language perfectly suited for data science. Even if it's brand new to you, this straightforward guide will help you learn to use Python programming to acquire, organize, process, and analyze large amounts of information and identify trends and patterns. From installing Python to performing cross-validation, learn with this book! See why Python works for data science — tour the data science pipeline and learn about Python's basic capabilities Get set up — install Python, download datasets and example code, and start working with numbers and logic, creating functions, and storing and indexing data Make it visual — explore MatPlotLib and create graphs, pie and bar charts, histograms, and advanced scatterplots Delve deeper — venture into classes and multiprocessing, define descriptive statistics for numeric data, and use applied visualization Advanced data wrangling — examine solutions to dimensionality reduction, perform hierarchical clustering, and learn to detect outliers in your data Make data tell you something — work with linear models and perform cross-validation, selection, and optimization Open the book and find: Fundamentals of Python data analysis programming All about the Python development environment How to use random distributions and regression models Advice on accessing data from the web What to do with NumPy, pandas, and SciPy Tips on working with HTML pages How to create interactive graphical representations Ten essential data resources To download the source code files for the examples in this book, go to www.Dummies.com/extras/pythonfordatascience
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About the Author
John Paul Mueller, consultant, application developer, writer, and technical editor, has written over 600 articles and 97 books. His topics range from programming to home security. Luca Massaron is a data scientist and a research director specializing in multivariate statistical analysis, machine learning, and customer insight. He is a pioneer of Web audience analysis in Italy and was named one of the top ten data scientists at competitions by kaggle.com.
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Product details
Series: For Dummies (Computer/Tech)
Paperback: 432 pages
Publisher: For Dummies; 1 edition (July 7, 2015)
Language: English
ISBN-10: 1118844181
ISBN-13: 978-1118844182
Product Dimensions:
7.3 x 1.1 x 9.1 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Average Customer Review:
3.6 out of 5 stars
18 customer reviews
Amazon Best Sellers Rank:
#75,275 in Books (See Top 100 in Books)
This book is for python 2 not 3. That's okay, I have both versions but I couldn't get the examples in this book to work. It was really not helpful at all.
The book was published in 2015 and the code samples are obsolete (often using deprecated code). The explanations tend to gloss over the hard parts and dwell on the obvious.
I guess I've been a data scientist without knowing it because there have so far been very few new things introduced in this bookLots of "padding" chapters. For example-If you know a bit of python, you can skip section I. If you don't know python, you'll need another book for that!The examples in section ii are really useful, but kind of basic. It leaves me wanting moreI skimmed section iii, since it was basically the helpfile to the software used in this book. The types of visuals are important to know, but very basic. I was hoping to encounter something new here!I'm about to start section iv, but I'm not too hopeful.
Need to explain with examples
It really helped me get up to speed quickly on numerical processing in Python 2.7
I was taking Data Mining at my University when I decided that I wanted to get a bit of help and get an edge on the subject so I was ahead of the class. This book helped explain everything and even had the output of the code to show what each code block would do. I ended up searching around on the author's website and he does have all of the source code in a zip file. Easy book to help you start understanding Data Science.
There's nothing dummy about this book. Offers clear and useful explanations and code and gives you extra bowl results.
Reading through it with the other Python books -
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