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

PyMongo and MongoDB


MongoDB (humongous) is a NoSQL document-oriented database. The documents are stored in the BSON format, which is JSON-like. You can download a MongoDB distribution from http://www.mongodb.org/downloads. Installing should be just a matter of unpacking a compressed archive. The version at the time of writing was 3.4.0. In the bin directory of the distribution, we will find the mongod file, which starts the server. MongoDB expects to find a /data/db directory. This is the directory where data is stored. We can specify another directory from the command line as follows:

$ mkdir /tmp/db

Start the database from the directory containing its binary executables:

./mongod --dbpath /tmp/db

We need to keep this process running to be able to query the database. PyMongo is a Python driver for MongoDB. Install PyMongo as follows:

$ pip3 install pymongo

Connect to the MongoDB test database:

from pymongo import MongoClient 
client = MongoClient() 
db = client.test_database 

Remember that...