Unleash the power of Python for your data analysis projectswith For Dummies!
Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to take advantage ofPython programming to acquire, organize, process, and analyze largeamounts of information and use basic statistics concepts toidentify trends and patterns. You’ll get familiar with thePython development environment, manipulate data, design compellingvisualizations, and solve scientific computing challenges as youwork your way through this user-friendly guide.
Covers the fundamentals of Python data analysis programming andstatistics to help you build a solid foundation in data scienceconcepts like probability, random distributions, hypothesistesting, and regression models
Explains objects, functions, modules, and libraries and theirrole 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 guideto getting a grip on data overload and doing interesting thingswith the oodles of information you uncover.
Web Client Programming with Perl If you've ever wanted to learn more about Web protocols so you could build custom client-side tools to automate tasks--or just so you have a better understanding of what's happening behind the scenes--then Web Client Programming with Perl is the book for you. Wong explains HTTP (Hypertext Transfer Protocol) requests and socket calls, then... PHP in Action: Objects, Design, Agility To keep programming productive and enjoyable, state-of-the-art practices and principles are essential. Object-oriented programming and design help manage complexity by keeping components cleanly separated. Unit testing helps prevent endless, exhausting debugging sessions. Refactoring keeps code supple and readable. PHP offers all this-and more.
Parallel Programming with Microsoft Visual Studio 2010 Step by Step
Parallel programming truly redefines the programming model for multicore architecture,
which has become commonplace. For this reason, parallel programming has been elevated to
a core technology in the Microsoft .NET Framework 4. In this version of the .NET Framework,
the Task Parallel Library (TPL) and the System.Threading.Tasks...
Discover over 80 recipes to learn how to build and test PHP applications efficiently using the PhpStorm IDE
About This Book
Learn to plan, construct, test, and run your applications with ease using PHPStorm
Improve the speed and efficiency of web application development using the PHPStorm...
Python 3 Text Processing with NLTK 3 Cookbook
Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0
About This Book
Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
Learn how to do custom sentiment analysis and named entity...