Learning IPython for Interactive Computing and Data Visualization is a new book from Packt that will help readers to considerably improve their productivity during interactive Python sessions. The book covers all aspects of IPython, from the highly powerful interactive Python console to the numerical and visualization features that are commonly associated with IPython.
About the author:
Cyrille Rossant is a French researcher in quantitative neuroscience. He graduated from the Ecole Normale Supérieure, Paris and holds a Master’s degree and a Ph.D. in Mathematics and Computer Science. He uses IPython regularly to model and simulate the brain and to analyze experimental data. He has also created scientific Python packages, including Playdoh and Galry.
Learning IPython for Interactive Computing and Data Visualization will show readers how IPython performs efficient vectorized computations through examples covering numerical simulations with NumPy, data analysis with Pandas, and visualization with Matplotlib.
From this book, readers will also discover how IPython can easily be used to optimize code with parallel computing and dynamic compilation in C with Cython.
Python developers who use Python as a scripting language or for software development, and are interested in learning IPython for increasing their productivity during interactive sessions in the console, will find this book a useful read. For more information please visit the book page at http://www.packtpub.com/learning-ipython-for-interactive-computing-and-data-visualization/book
|Learning IPython for Interactive Computing and Data Visualization|
| A practical step-by-step tutorial which will help you to replace the Python console with the powerful IPython command-line interface
For more information, please visit: http://www.packtpub.com/learning-ipython-for-interactive-computing-and-data-visualization/book