Idris Python Data Analysis

Learn how to apply powerful data analysis techniques with popular open source Python modules
1. Auflage 2014
ISBN: 978-1-78355-336-5
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 348 Seiten

No detailed description available for "Python Data Analysis".

Autoren/Hrsg.

Idris, Ivan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Getting Started
- 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 of the Python ecosystem and Cloud Computing
- Performance Tuning, Profiling and Concurrency
- Appendix A
- Appendix B
- Appendix C
- Preface

Über Autor(innen)

Idris Ivan:

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.