Python data analysis: learn how to apply powerful data analysis techniques with popular open source Python modules

✍ Scribed by Idris, Ivan

• Publisher: Packt Publishing Ltd
• Year: 2014
• Tongue: English
• Leaves: 348
• Series: Community experience distilled
• Category: Library

✦ Synopsis

Getting started with Python libraries -- NumPy arrays -- Statistics and linear algebra -- pandas primer -- Retrieving, processing, and storing data -- Data visualization -- Signal processing and time series -- Working with databases -- Analyzing textual data and social media -- Predictive analytics and machine learning -- Environments outside the Python ecosystem and cloud computing -- Performance tuning, profiling, and concurrency -- Appendix A : key concepts -- Appendix B : useful functions -- Appendix C : online resources.

✦ Table of Contents

Getting started with Python libraries --
NumPy arrays --
Statistics and linear algebra --
pandas primer --
Retrieving, processing, and storing data --
Data visualization --
Signal processing and time series --
Working with databases --
Analyzing textual data and social media --
Predictive analytics and machine learning --
Environments outside the Python ecosystem and cloud computing --
Performance tuning, profiling, and concurrency --
Appendix A : key concepts --
Appendix B : useful functions --
Appendix C : online resources.

✦ Subjects

Programming languages (Electronic computers);Python (Computer program language)