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Statistical Application Development with R and Python

You're reading from   Statistical Application Development with R and Python Develop applications using data processing, statistical models, and CART

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781788621199
Length 432 pages
Edition 2nd Edition
Languages
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Author (1):
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Prabhanjan Narayanachar Tattar Prabhanjan Narayanachar Tattar
Author Profile Icon Prabhanjan Narayanachar Tattar
Prabhanjan Narayanachar Tattar
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Table of Contents (12) Chapters Close

Preface 1. Data Characteristics FREE CHAPTER 2. Import/Export Data 3. Data Visualization 4. Exploratory Analysis 5. Statistical Inference 6. Linear Regression Analysis 7. Logistic Regression Model 8. Regression Models with Regularization 9. Classification and Regression Trees 10. CART and Beyond Index

IDEs for R and Python

The Integrated Development Environment or IDE- most users do not use the software frontend these days. IDEs are convenient for many reasons and the uninitiated reader can search for the keyword. In very simple terms, the IDE may be thought of as the showroom and the core software as the factory. The RStudio appears to be the most popular IDE for R and Jupyter Notebook for Python.

The website for RStudio is https://www.rstudio.com/ and for Jupyter Notebook, it is http://jupyter.org/. The authors of the RStudio version are shown in the following screenshot:

IDEs for R and Python

We will not delve into details on the IDEs and the role they play. It is good enough to use them. More details about the importance of IDEs can be easily obtained on the web, and especially Wikipedia. An important Python distribution is Anaconda and there are lots of funny stories about the Anaconda-Python predators and how their names fascinate the software programmers. The Anaconda distribution is available at https://www.continuum.io/downloads and we recommend the reader to use the same. All the Python programs are run on the Jupyter Notebook IDE. The authors of the Anaconda Prompt are shown in the following screenshot:

IDEs for R and Python

The code in the jupyter notebook has not yet run. And if you enter that on your Anaconda Prompt and hit the return key, the IDE will be started. The frontend of the Jupyter notebook, which will be opened in your default internet browser, looks like the following:

IDEs for R and Python

Now, an important question is the need of different IDEs for different software. Of course, it is not necessary. The R software can be integrated with the Anaconda distribution, particularly with options later in the Jupyter IDE. Towards this, we need to run the code conda install -c r r-essentials in the Anaconda Prompt. Now, if you click on the New drop-down button, you will see two options under the Notebook: one is Python 3 and the other is R. Thus, you can now run Python as well as R in the Jupyter Notebook IDE:

IDEs for R and Python

Python Idle is also another popular IDE and the Windows version looks like this:

IDEs for R and Python
You have been reading a chapter from
Statistical Application Development with R and Python - Second Edition
Published in: Aug 2017
Publisher:
ISBN-13: 9781788621199
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