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IPython Books - New edition of the IPython Minibook
http://ipython-books.github.io/minibook-new-edition
New edition of the IPython Minibook. November 01, 2015. The new edition of the IPython Minibook. Has just been released! What's new in this edition:. It makes a greater emphasis on data analysis with pandas and NumPy. There are clear step-by-step instructions for beginners with no programming experience. The code now uses Python 3. And the Jupyter Notebook. There is a new introduction to the Python language. Most of the contents have been rewritten, and almost all code examples are new.
IPython Books - New Microsoft C++ compiler for Python 2.7 on Windows
http://ipython-books.github.io/windows-compiler
New Microsoft C compiler for Python 2.7 on Windows. September 29, 2014. Compiling C extensions for Python on Windows used to be complicated. One had to install the adequate (unsupported) versions of Microsoft Visual Studio and the Windows compilers. Furthemore, it was necessary to invoke some commands on the command-line interface before running Python or IPython. In the end, installing non-pure-Python packages, or building non-pure-Python distributions for Windows users was a pain.
IPython Books - IPython Cookbook released
http://ipython-books.github.io/ipython-cookbook-released
September 26, 2014. My new book, IPython Interactive Computing and Visualization Cookbook. Has just been released! A sequel to my previous beginner-level book on Python for data analysis. This new 500-page book is a complete advanced-level guide to Python for data science. Here is a glimpse of the topics addressed in this book:. IPython notebook, interactive widgets. Best practices in interactive computing: version control, workflows with IPython, testing, debugging, continuous integration. This reposito...
IPython Books - IPython Minibook
http://ipython-books.github.io/minibook
Learning IPython for Interactive Computing and Data Visualization, second edition. Packt Publishing (175 pages, 25$, 10/2015). This book is a beginner-level introduction to Python for data analysis:. Interactive Python with IPython. Data analysis with pandas. Numerical computing with NumPy/SciPy. Data visualization with matplotlib. This book is a beginner-friendly introduction to IPython/Jupyter. All code examples are freely available on GitHub as Jupyter Notebooks. 1 Getting started with IPython. 52 Wri...
IPython Books - IPython Cookbook
http://ipython-books.github.io/cookbook
IPython Interactive Computing and Visualization Cookbook. Packt Publishing (520 pages, 30$, 09/2014). This advanced-level book covers a wide range of methods for data science with Python:. Interactive computing in the IPython notebook. High-performance computing with Python. Statistics, machine learning, data mining. Signal processing and mathematical modeling. Each recipe illustrates one method on one real-world example. Code for Python 3 (but works fine on Python 2.7). Getting started with Vispy. This ...
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Cyrille Rossant
http://cyrille.rossant.net/tag/maths
A mathematical proof that our world is in three dimensions. Everyone knows that our world is three-dimensional. It seems indeed obvious that there are three independent spatial directions, no less, no more. But can we really be sure? After all, everything we know about our world comes from our senses and from what our brains interprete. Does the fact that we. In 3D really proves that the world. Can we have a mathematical proof, based on experimental observations, that the world is three-dimensional?
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IPython Books
New edition of the IPython Minibook. The new edition of the IPython Minibook. Has just been released! Contains more than 100 recipes on numerical computing and data science with Python. The integrality of the code is freely available on GitHub. In addition, I have released several featured recipes. Prettyplotlib is no longer being developed. Prettyplotlib is covered in recipe 6.1. However, Olga Botvinnik. Is no longer actively developing this library. New Microsoft C compiler for Python 2.7 on Windows.
ipython.com - This website is for sale! - ipython Resources and Information.
The domain ipython.com. May be for sale by its owner! This page provided to the domain owner free. By Sedo's Domain Parking. Disclaimer: Domain owner and Sedo maintain no relationship with third party advertisers. Reference to any specific service or trade mark is not controlled by Sedo or domain owner and does not constitute or imply its association, endorsement or recommendation.
ipython
Hackpads are smart collaborative documents. Join Hackpad Now. I’m going to call X-cells cells on which action will be applied, that are marked or selected in a way or another. O-cells not selected or marked. From a notebook with no cells selected:. Shift J many times should Xed multiple cells. Shift-K after shift-J should deselect. Question in the case of disjoined Xed what happend if two Xed groups are joined? Mared the questionable cell with. If I go "up" or "down", do we deselect all? One option was to.
IT辰逸 - 热爱IT技术与互联网
垃圾金山 页面状态码 = 400 就自动跳转到hao123.com. 七月 24th, 2015. 一旦浏览器遇到非正常页面就帮你免费跳转到hao123， 搞得开发机一碰到500 就去看hao123了，最初我怀 … 阅读全文. 七月 9th, 2015. 基测磁盘用fio是个比较好的选择，比如压测和性能验证，它支持19不同类型的I/O类型 sync, mmap, … 阅读全文. 七月 2nd, 2015. Ansible可以使用host patterns来指定远程主机，用于命令行、playbook、ansible … 阅读全文. 六月 30th, 2015. Django 处理Ajax 跨域请求，代码如下 [crayon-55cfaecd1aae7640 … 阅读全文. 六月 30th, 2015. Ansible可以连接到多个主机并执行任务，显然它会去取一个配置文件，即 /etc/ansible/hosts … 阅读全文. 六月 29th, 2015. Ansible 是个比较轻量级的开源自动化工具，在目前来说，devops吵的风风火火，所以工具也是相当的多，如 … 阅读全文. 五月 3rd, 2015.
Jupyter and the future of IPython — IPython
IPython provides a rich architecture for interactive computing with:. A powerful interactive shell. A kernel for Jupyter. Support for interactive data visualization and use of GUI toolkits. Interpreters to load into your own projects. Easy to use, high performance tools for parallel computing. To get started with IPython in the Jupyter Notebook, see our official example collection. To learn more about IPython, you can download our talks and presentations. Or read our extensive documentation. These two re...
IPython Documentation — IPython 5.1.0 documentation
What’s new in IPython. Using IPython for interactive work. Developer’s guide for third party tools and libraries. Guide for IPython core Developers. Welcome to the official IPython documentation. IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are:. A powerful interactive Python shell. Kernel to work with Python code in Jupyter notebooks and other interactive frontends. Input history, persistent across sessions. Session logging and reloading.
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