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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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Introduction to the datadotworld Python package

To install the datadotworld Python package, follow these steps:

  1. First, we have to install the package. To do so, we could try one of the following lines:
conda install datadotworld 
pip install datadotworld 
  1. After the package is successfully installed, we can use the dir() function to list all its functions, as shown in this screenshot:
  1. A user has to get an APK token at https://data.world/settings/advaned in order to run a Python program. Without such a token, we might get the following error message if we run a datadotworld function:
  1. According to the error message, we must run the following configure command:
  1. Now we can use the Python package as shown in the following Python program:
import datadotworld as dw 
name='jonloyens/an-intro-to-dataworld-dataset' 
results = dw.query(name, 
    'SELECT * FROM...

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