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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 help

  1. In Chapter 1, Ecosystem of Anaconda, we showed that we could go to the link https://docs.anaconda.com/anaconda/user-guide/.
  2. After clicking the link, we would see four entries, shown here:
  1. We could type conda help to find information about the usages of Conda. In Windows, click All Programs | Anaconda | Anaconda Prompt. In the Prompt, type conda help, as shown here:
  1. To find all packages associated with a Conda environment, we could issue the conda list command.
  2. Since the number of packages is quite large, a better solution is to generate a text file. We could issue conda list >c:/temp/list.txt:
  1. The first several lines from the output file called list.txt are shown:
  1. We could write an R program to read this text file:
> x<-read.csv('c:/temp/list.txt',skip=2) 
> head(x) 
X_ipyw_jlab_nb_ext_conf....0.1.0............py36ha9200a3_0 
1...
You have been reading a chapter from
Hands-On Data Science with Anaconda
Published in: May 2018
Publisher: Packt
ISBN-13: 9781788831192
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