- NumPy Cookbook
- Table of Contents
- NumPy Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Winding Along with IPython
- 2. Advanced Indexing and Array Concepts
- 3. Get to Grips with Commonly Used Functions
- 4. Connecting NumPy with the Rest of the World
- Introduction
- Using the buffer protocol
- Using the array interface
- Exchanging data with MATLAB and Octave
- Installing RPy2
- Interfacing with R
- Installing JPype
- Sending a NumPy array to JPype
- Installing Google App Engine
- Deploying NumPy code in the Google cloud
- Running NumPy code in a Python Anywhere web console
- Setting up PiCloud
- 5. Audio and Image Processing
- 6. Special Arrays and Universal Functions
- 7. Profiling and Debugging
- 8. Quality Assurance
- 9. Speed Up Code with Cython
- 10. Fun with Scikits
- Introduction
- Installing scikits-learn
- Loading an example dataset
- Clustering Dow Jones stocks with scikits-learn
- Installing scikits-statsmodels
- Performing a normality test with scikits-statsmodels
- Installing scikits-image
- Detecting corners
- Detecting edges
- Installing Pandas
- Estimating stock returns correlation with Pandas
- Loading data as pandas objects from statsmodels
- Resampling time series data
- Index
Author
Ivan Idris
Reviewers
Alexandre Devert
Ludovico Fischer
Ryan R. Rosario
Acquisition Editor
Usha Iyer
Lead Technical Editor
Ankita Shashi
Technical Editors
Merin Jose
Rohit Rajgor
Farhaan Shaikh
Nitee Shetty
Copy Editor
Insiya Morbiwala
Project Coordinator
Vishal Bodwani
Proofreader
Clyde Jenkins
Indexer
Monica Ajmera Mehta
Production Coordinators
Arvindkumar Gupta
Manu Joseph
Cover Work
Arvindkumar Gupta
Manu Joseph
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