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Make notebooks more prominent

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Jake VanderPlas 2016-11-17 17:43:18 -08:00
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@ -7,10 +7,20 @@ Supplemental materials for my OReilly project, the
See also the free companion project, [A Whirlwind Tour of Python](https://github.com/jakevdp/WhirlwindTourOfPython).
This repository will contain the full listing of IPython notebooks used to create the book, including all text and code. I am currently editing these, and will post them as I make my way through. See the content here:
### [Preface](notebooks/00.00-Preface.ipynb)
### 1. [IPython: Beyond Normal Python](notebooks/01.00-IPython-Beyond-Normal-Python.ipynb)
### 2. Introduction to NumPy *(coming soon)*
### 3. Data Manipulation with Pandas *(coming soon)*
### 4. Visualization with Matplotlib *(coming soon)*
### 5. Machine Learning *(coming soon)*
## Code Listings
All the code from the book can be found in [code_listings](code_listings).
Until the notebooks are finished, you can see all the code from the book
in [code_listings](code_listings).
The code is in IPython notebooks, organized by book chapter and section.
All code from this book was tested with Python 3.4-3.5, though it should be
near 100% compatible with Python 2.7 as well.
@ -23,19 +33,6 @@ Most figures are generated by the code within the text; those few that are not
can be found in the online-only [Figure Appendix](figure_appendix/06.00-Figure-Code.ipynb)
## Full Notebooks
The full notebooks, containing the entire text of the book, are being edited and will be made available in [notebooks](notebooks).
### Contents:
#### [Preface](notebooks/00.00-Preface.ipynb)
#### 1. [IPython: Beyond Normal Python](notebooks/01.00-IPython-Beyond-Normal-Python.ipynb)
#### 2. Introduction to NumPy *(coming soon)*
#### 3. Data Manipulation with Pandas *(coming soon)*
#### 4. Visualization with Matplotlib *(coming soon)*
#### 5. Machine Learning *(coming soon)*
## License
The code here is released under the [MIT license](LICENSE-CODE). Read more at the [Open Source Initiative](https://opensource.org/licenses/MIT).