Book Image

Python Data Analysis - Second Edition

By : Ivan Idris
Book Image

Python Data Analysis - Second Edition

By: Ivan 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 (22 chapters)
Python Data Analysis - Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Key Concepts
Online Resources

Apache Cassandra


Apache Cassandra mixes features of key-value and traditional relational databases. In a conventional relational database, the columns of a table are fixed. In Cassandra, however, rows within the same table can have different columns. Cassandra is, therefore, column-oriented, since it allows a flexible schema for each row. Columns are organized in so-called column families, which are equivalent to tables in relational databases. Joins and subqueries are not possible with Cassandra. Cassandra can be downloaded from http://cassandra.apache.org/download/. We used Cassandra version 3.9 at the time of writing this book. Please refer to http://wiki.apache.org/cassandra/GettingStarted to get started:

  1. Run the server from the command line as follows:

    $ bin/cassandra-f
    
  2. Create the directories listed in conf/cassandra.yaml or tweak them as follows:

    data_file_directories:
    /tmp/lib/cassandra/data
    commitlog_directory: /tmp/lib/cassandra/commitlog
    saved_caches_directory: /tmp/lib/cassandra...