
Learning IPython for Interactive Computing and Data Visualization
Résumé
A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface
Use the IPython notebook to modernize the way you interact with Python
Perform highly efficient computations with NumPy and Pandas
Optimize your code using parallel computing and Cython
L'auteur - Cyrille Rossant
Dr. Cyrille Rossant is a French researcher in computational neuroscience. A graduate of the Ecole Normale Supérieure, Paris, where he studied Mathematics and Computer Science, he has also worked at Princeton University and University College London. He is interested in all kinds of relationships between brains and computers, including models of neural processing, high-performance simulations of neural networks, and analysis of neurophysiological data. He has also worked on parallel computing and high-performance visualization technologies for Python, and he is a core developer of Vispy, a visualization package. He is the author of Learning IPython for Interactive Computing and Data Visualization, Packt Publishing, the prequel of this cookbook.
Sommaire
- Preface
- Chapter 1: Getting Started with IPython
- Chapter 2: Interactive Work with IPython
- Chapter 3: Numerical Computing with IPython
- Chapter 4: Interactive Plotting and Graphical Interfaces
- Chapter 5: High-Performance and Parallel Computing
- Chapter 6: Customizing IPython
- Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Packt publishing |
Auteur(s) | Cyrille Rossant |
Parution | 01/04/2013 |
Nb. de pages | 138 |
Format | 23 x 19 |
Couverture | Broché |
Intérieur | Noir et Blanc |
EAN13 | 9781782169932 |
ISBN13 | 978-1-7821-6993-2 |
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