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Hands-On Data Science with Anaconda

Hands-On Data Science with Anaconda

By : Yuxing Yan, Yan
2.6 (5)
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Hands-On Data Science with Anaconda

Hands-On Data Science with Anaconda

2.6 (5)
By: Yuxing Yan, 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)
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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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