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Hands-On Data Science with Anaconda

You're reading from   Hands-On Data Science with Anaconda Utilize the right mix of tools to create high-performance data science applications

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788831192
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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James Yan James Yan
Author Profile Icon James Yan
James Yan
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Table of Contents (15) Chapters Close

Preface 1. Ecosystem of Anaconda 2. Anaconda Installation FREE CHAPTER 3. Data Basics 4. Data Visualization 5. Statistical Modeling in Anaconda 6. Managing Packages 7. Optimization in Anaconda 8. Unsupervised Learning in Anaconda 9. Supervised Learning in Anaconda 10. Predictive Data Analytics – Modeling and Validation 11. Anaconda Cloud 12. Distributed Computing, Parallel Computing, and HPCC 13. References 14. Other Books You May Enjoy

Finding all R packages

For R-related packages, go to http://r-project.org first. Click on CRAN and choose a mirror location, then click Packages on the left-hand side. We can see two lists, as shown here:

On February 22, 2018, there are 12,173 R packages available. The first list contains all available packages sorted by their publication dates (that is, the dates they updated, or published if they were never updated). The second list is sorted by their names. If we just want to find relevant packages, either list will be fine. For example, for the first list, here is a snapshot of a few lines:

The first column shows when the packages were last updated, or published if no updates were available. The second column shows the names of the packages, while the last column offers a short description of the usage for each package. We can use keywords to find the packages we want...

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