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Getting Started with Python Data Analysis

You're reading from  Getting Started with Python Data Analysis

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781785285110
Pages 188 pages
Edition 1st Edition
Languages

Table of Contents (15) Chapters

Getting Started with Python Data Analysis
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Introducing Data Analysis and Libraries 2. NumPy Arrays and Vectorized Computation 3. Data Analysis with Pandas 4. Data Visualization 5. Time Series 6. Interacting with Databases 7. Data Analysis Application Examples 8. Machine Learning Models with scikit-learn Index

About the Reviewers

Dong Chao is both a machine learning hacker and a programmer. He’s currently conduct research on some Natural Language Processing field (sentiment analysis on sequences data) with deep learning in Tsinghua University. Before that he worked in XiaoMi one year ago, which is one of the biggest mobile communication companies in the world. He also likes functional programming and has some experience in Haskell and OCaml.

Hai Minh Nguyen is currently a postdoctoral researcher at Rutgers University. He focuses on studying modified nucleic acid and designing Python interfaces for C++ and the Fortran library for Amber, a popular bimolecular simulation package. One of his notable achievements is the development of a pytraj program, a frontend of a C++ library that is designed to perform analysis of simulation data (https://github.com/pytraj/pytraj).

Kenneth Emeka Odoh presented a Python conference talk at Pycon, Finland, in 2012, where he spoke about Data Visualization in Django to a packed audience. He currently works as a graduate researcher at the University of Regina, Canada, in the field of visual analytics. He is a polyglot with experience in developing applications in C, C++, Python, and Java programming languages.

He has strong algorithmic and data mining skills. He is also a MOOC addict, as he spends time learning new courses about the latest technology.

Currently, he is a masters student in the Department of Computer Science, and will graduate in the fall of 2015. For more information, visit https://ca.linkedin.com/in/kenluck2001. He has written a few research papers in the field of visual analytics for a number of conferences and journals.

When Kenneth is not writing source code, you can find him singing at the Campion College chant choir.

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