ANN: New edition of the IPython minibook
Hi all, The second edition of the book *Learning IPython for Interactive Computing and Data Visualization* has been released (Packt Publishing). The book now targets Python 3, IPython 4, and the Jupyter Notebook. There is a new introduction to the Python programming language for complete beginners, as well as new code examples covering pandas and NumPy for data analysis and numerical computing. There are also contents for more advanced users, like parallel computing with IPython and high-performance computing with Numba and Cython. All code examples are available on GitHub as Jupyter notebooks. You'll find more information here: * IPython Books website: <http://ipython-books.github.io/> * Book page on Packt's website: <https://www.packtpub.com/big-data-and-business-intelligence/learning-ipython...> * GitHub repo: <https://github.com/ipython-books/minibook-2nd-code> Cyrille
Fantastic and *many* congrats!!! On Sun, Nov 22, 2015 at 11:26 AM, Cyrille Rossant <cyrille.rossant@gmail.com> wrote:
Hi all,
The second edition of the book *Learning IPython for Interactive Computing and Data Visualization* has been released (Packt Publishing).
The book now targets Python 3, IPython 4, and the Jupyter Notebook. There is a new introduction to the Python programming language for complete beginners, as well as new code examples covering pandas and NumPy for data analysis and numerical computing. There are also contents for more advanced users, like parallel computing with IPython and high-performance computing with Numba and Cython.
All code examples are available on GitHub as Jupyter notebooks.
You'll find more information here:
* IPython Books website: <http://ipython-books.github.io/> * Book page on Packt's website: <https://www.packtpub.com/big-data-and-business-intelligence/learning-ipython...> * GitHub repo: <https://github.com/ipython-books/minibook-2nd-code>
Cyrille
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Awesome, congratulations!! Please don't forget to submit a PR to update the links/images on the site :) On Sun, Nov 22, 2015 at 11:26 AM, Cyrille Rossant <cyrille.rossant@gmail.com
wrote:
Hi all,
The second edition of the book *Learning IPython for Interactive Computing and Data Visualization* has been released (Packt Publishing).
The book now targets Python 3, IPython 4, and the Jupyter Notebook. There is a new introduction to the Python programming language for complete beginners, as well as new code examples covering pandas and NumPy for data analysis and numerical computing. There are also contents for more advanced users, like parallel computing with IPython and high-performance computing with Numba and Cython.
All code examples are available on GitHub as Jupyter notebooks.
You'll find more information here:
* IPython Books website: <http://ipython-books.github.io/> * Book page on Packt's website: < https://www.packtpub.com/big-data-and-business-intelligence/learning-ipython...
* GitHub repo: <https://github.com/ipython-books/minibook-2nd-code>
Cyrille _______________________________________________ IPython-dev mailing list IPython-dev@scipy.org https://mail.scipy.org/mailman/listinfo/ipython-dev
-- Fernando Perez (@fperez_org; http://fperez.org) fperez.net-at-gmail: mailing lists only (I ignore this when swamped!) fernando.perez-at-berkeley: contact me here for any direct mail
Actually, just saw there was already a PR open, just merged it, thanks! On Sun, Nov 22, 2015 at 10:02 PM, Fernando Perez <fperez.net@gmail.com> wrote:
Awesome, congratulations!!
Please don't forget to submit a PR to update the links/images on the site :)
On Sun, Nov 22, 2015 at 11:26 AM, Cyrille Rossant < cyrille.rossant@gmail.com> wrote:
Hi all,
The second edition of the book *Learning IPython for Interactive Computing and Data Visualization* has been released (Packt Publishing).
The book now targets Python 3, IPython 4, and the Jupyter Notebook. There is a new introduction to the Python programming language for complete beginners, as well as new code examples covering pandas and NumPy for data analysis and numerical computing. There are also contents for more advanced users, like parallel computing with IPython and high-performance computing with Numba and Cython.
All code examples are available on GitHub as Jupyter notebooks.
You'll find more information here:
* IPython Books website: <http://ipython-books.github.io/> * Book page on Packt's website: < https://www.packtpub.com/big-data-and-business-intelligence/learning-ipython...
* GitHub repo: <https://github.com/ipython-books/minibook-2nd-code>
Cyrille _______________________________________________ IPython-dev mailing list IPython-dev@scipy.org https://mail.scipy.org/mailman/listinfo/ipython-dev
-- Fernando Perez (@fperez_org; http://fperez.org) fperez.net-at-gmail: mailing lists only (I ignore this when swamped!) fernando.perez-at-berkeley: contact me here for any direct mail
-- Fernando Perez (@fperez_org; http://fperez.org) fperez.net-at-gmail: mailing lists only (I ignore this when swamped!) fernando.perez-at-berkeley: contact me here for any direct mail
participants (3)
-
Brian Granger -
Cyrille Rossant -
Fernando Perez