Book Image

Data Analysis with Python

By : David Taieb
Book Image

Data Analysis with Python

By: David Taieb

Overview of this book

Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.
Table of Contents (16 chapters)
Data Analysis with Python
Contributors
Preface
Other Books You May Enjoy
3
Accelerate your Data Analysis with Python Libraries
Index

Part 1 – Acquiring the data with Spark Structured Streaming


To acquire the data, we use Tweepy which provides an elegant Python client library to access the Twitter APIs. The APIs covered by Tweepy are very extensive and covering them in detail is beyond the scope of this book, but you can find the complete API reference at the Tweepy official website: http://tweepy.readthedocs.io/en/v3.6.0/cursor_tutorial.html.

You can install the Tweepy library directly from PyPi using the pip install command. The following command shows how to install it from a Notebook using the ! directive:

!pip install tweepy

Note

Note: The current Tweepy version used is 3.6.0. Do not forget to restart the kernel after installing the library.

Architecture diagram for the data pipeline

Before we start diving into each component of the data pipeline, it would be good to take a look at its overall architecture and understand the computation flow.

As shown in the following diagram, we start by creating a Tweepy stream that...