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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

Conda – the package manager

After we launch Anaconda Prompt and issue conda help, we will see the following output:

From the previous help menu, we know that we can install, update, and uninstall a package. Usually, we can use conda to install a package. However, we may receive an error message (see the following example):

To update conda itself, we use conda update -n base conda command, as shown here:

We could find more information about specific Python packages by using the search function, as shown here:

The following table lists several of the most used commands:

Command
Explanation

Conda help

Conda info

Get help about the usages of conda

conda update -n base conda

Get information related to conda, such as the current version, base environment and the related websites

conda search matplotlib

Find all versions about this specific Python package...

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