Book Image

Hands-On Data Science with Anaconda

By : Yuxing Yan, James Yan
Book Image

Hands-On Data Science with Anaconda

By: Yuxing Yan, James Yan

Overview of this book

Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You’ll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You’ll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. Once you’re accustomed to all this, you’ll start with operations in data science such as cleaning, sorting, and data classification. You’ll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you’ll learn how to visualize data using the packages available for Julia, Python, and R.
Table of Contents (15 chapters)

Package management in Octave

We will use the Octave package called statistics as an example. First, we find the ZIP file for the package at https://octave.sourceforge.io/statistics/, as shown in the following screenshot:

Second, we set up our path to the directory containing the previously downloaded ZIP file. Third, we issue pkg install package_name, as shown:

> pkg install statistics-1.3.0.tar.gz 

For information about changes from previous versions of the statistics package, run news statistics. To get more information about the new version, we type news statistics as mentioned previously:

To load and unload a package, we have the following code:

>pkg load statistics 
>>pkg unload statistics 

As for all the other functions included in the statistics package, see https://octave.sourceforge.io/statistics/overview.html.

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