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Books > Computers & Technology > Programming Languages > Python > B00TWK3RHW
  1. Python for Data Science For Dummies (For Dummies (Computers))
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  2. Python for Data Science For Dummies (For Dummies (Computers))

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Unleash the power of Python for your data analysis projects with For Dummies!

Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide.

  • Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models
  • Explains objects, functions, modules, and libraries and their role in data analysis
  • Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib

Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

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For Dummies
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Most Helpful Customer Reviews

I guess I've been a data scientist without knowing it because there have so far been very few new things introduced in this book
Lots 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 more

I 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.
It really helped me get up to speed quickly on numerical processing in Python 2.7
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