PublishedWiley, July 2015 |
ISBN9781118844182 |
FormatSoftcover, 432 pages |
Dimensions23.4cm × 19cm × 2.7cm |
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.
