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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 FREE CHAPTER 2. Anaconda Installation 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

Installing Julia and linking it to Jupyter

The steps for installing Julia are as follows:

  1. First, we go to the following web page to download Julia: https://julialang.org/downloads/.
  2. As when downloading Anaconda, we have different versions depending on our system, as shown here:
  1. Again, based on your operating system (Windows, Mac, or Linux), choose the appropriate version and download the executable package.

  1. Clicking the executable, we can install the package and, in order to launch Julia, we simply click on Julia.exe.
  2. In it, we can type println("Hello World"), as shown:

Alternatively, for Windows, we can click All Programs | Julia. We can also copy and paste Julia to our desktop.

  1. In addition, another way to launch Julia is through a DOS window. However, before we can do so, we have to add the path to the directory that contains Julia.exe to our path. For example...
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