Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Python Data Analysis, Second Edition
  • Toc
  • feedback
Python Data Analysis, Second Edition

Python Data Analysis, Second Edition

By : Idris
4 (4)
close
Python Data Analysis, Second Edition

Python Data Analysis, Second Edition

4 (4)
By: Idris

Overview of this book

Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.
Table of Contents (16 chapters)
close
13
A. Key Concepts
15
C. Online Resources

Installing rpy2 package

The R programming language is popular among statisticians. It is written in C and Fortran and is available under the GNU General Public License (GPL). R has support for modeling, statistical tests, time-series analysis, classification, visualization, and clustering. The Comprehensive R Archive Network (CRAN) and other repository websites offer thousands of R packages for various tasks.

Note

Download R from http://www.r-project.org/.

The rpy2 package facilitates interfacing with R from Python. Install rpy2 as follows with pip:

$ pip3 install rpy2

Note

If you already have rpy2 installed, follow the instructions on http://rpy.sourceforge.net/rpy2/doc-dev/html/overview.html as upgrading is not a straightforward process.

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete