Books like R for Dummies by Joris Meys


First publish date: 2012
Subjects: Statistics, Data processing, Mathematical statistics, Programming languages (Electronic computers), R (Computer program language)
Authors: Joris Meys
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R for Dummies by Joris Meys

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Books similar to R for Dummies (17 similar books)

Learning Python by 8421195|Mark Lutz book cover

πŸ“˜ Learning Python
 by Mark Lutz

Describes the features of the Python 2.5 programming language, covering such topics as types and operations, statements and syntax, functions, modules, classes and OOP, and exceptions and tools.

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Python For Data Analysis by 11676239|Wes McKinney book cover

πŸ“˜ Python For Data Analysis


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Python For Data Analysis by 11676239|Wes McKinney book cover

πŸ“˜ Python For Data Analysis


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Automate the Boring Stuff with Python by 11633125|Al Sweigart book cover

πŸ“˜ Automate the Boring Stuff with Python

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by handβ€”no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: - Search for text in a file or across multiple files - Create, update, move, and rename files and folders - Search the Web and download online content - Update and format data in Excel spreadsheets of any size - Split, merge, watermark, and encrypt PDFs - Send reminder emails and text notifications - Fill out online forms Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.[ (Source)][1] [1]: http://www.amazon.com/Automate-Boring-Stuff-Python-Programming/dp/1593275994

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Automate the Boring Stuff with Python by 11633125|Al Sweigart book cover

πŸ“˜ Automate the Boring Stuff with Python

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by handβ€”no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: - Search for text in a file or across multiple files - Create, update, move, and rename files and folders - Search the Web and download online content - Update and format data in Excel spreadsheets of any size - Split, merge, watermark, and encrypt PDFs - Send reminder emails and text notifications - Fill out online forms Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks. Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.[ (Source)][1] [1]: http://www.amazon.com/Automate-Boring-Stuff-Python-Programming/dp/1593275994

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Think Python by 11187844|Allen B. Downey book cover

πŸ“˜ Think Python

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics.

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SQL for Dummies by 6800491|Allen G. Taylor book cover

πŸ“˜ SQL for Dummies

Learn SQL the fun and easy way -- no programming experience needed! SQL For Dummies, 7th Edition, shows programmers and web developers how to use SQL to build relational databases and get valuable information from them. This book covers the core features of the SQL language. Topics covered include how to use SQL to structure a DBMS and implement a database design; secure a database; and retrieve information from a database. This edition will be revised to reflect the new enhancements of SQL/XML:2008. The latest update of the perennial bestselling SQL For Dummies, which has sold more than 210,000 units in six editions. SQL is the most popular database language in the world Covers creating, accessing, manipulating, maintaining, and storing information in relational database management systems (DBMS) such as Access, Oracle, SQL Server, and MySQL. Includes new content on using SQL with XML to power data-driven web sites and using SQL with Access 2010 Whether you're daunted by database development or a system admin star, SQL For Dummies, 7th Dummies will have you working your web site in no time at all.The EPUB format of this title may not be compatible for use on all handheld devices.

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Introduction to Machine Learning with Python by 11655721|Andreas C. Mueller book cover

πŸ“˜ Introduction to Machine Learning with Python


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Hands-On Machine Learning with Scikit-Learn and TensorFlow by 8245430|Aurélien Géron book cover

πŸ“˜ Hands-On Machine Learning with Scikit-Learn and TensorFlow

xx, 543 pages : 24 cm

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Data science from scratch by 11605057|Joel Grus book cover

πŸ“˜ Data science from scratch
 by Joel Grus


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Data science from scratch by 11605057|Joel Grus book cover

πŸ“˜ Data science from scratch
 by Joel Grus


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R for data analysis by 7124098|Mike McGrath book cover

πŸ“˜ R for data analysis

R for Data Analysis in easy steps contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding.Bythe end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming. --Amazon.com

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Statistics For Dummies by 12266616|Deborah J. Rumsey book cover

πŸ“˜ Statistics For Dummies


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Time series analysis by 11607455|Jonathan D. Cryer book cover

πŸ“˜ Time series analysis

This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.

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A Beginner's Guide to R by 6971219|Alain F. Zuur book cover

πŸ“˜ A Beginner's Guide to R


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R Packages by 11494465|Hadley Wickham book cover

πŸ“˜ R Packages


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The Data Science Handbook by 13456456|Carl Shan book cover

πŸ“˜ The Data Science Handbook
 by Carl Shan


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Some Other Similar Books

Learn Python the Hard Way by Zed A. Shaw
Data Visualization with Python and JavaScript by Kiril E. Tzanev
Intro to Machine Learning with Python by Andreas C. MΓΌller & Sarah Guido
Data Analysis Using R by Osvaldo A. Martin
Practical Statistics for Data Scientists by Peter Bruce and Andrew Bruce

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