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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...

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Jupyter and the future of IPython — IPython | ipython.org Reviews

https://ipython.org

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...

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1

Installing IPython — IPython

http://ipython.org/install.html

There are multiple ways of installing IPython. This page contains simplified installation instructions that should work for most users. Our official documentation contains more detailed instructions. For manual installation targeted at advanced users and developers. If you are looking for installation documentation for the notebook and/or qtconsole, those are now part of Jupyter. I already have Python. I am getting started with Python. Download and install Continuum’s Anaconda.

2

0.11 Series — IPython 3.2.1 documentation

http://ipython.org/ipython-doc/stable/whatsnew/version0.11.html

What’s new in IPython. Development summary: moving to Git and Github. High-level parallel computing with ZeroMQ. Integration with Microsoft Visual Studio. Issues closed in the 0.12 development cycle. Issues closed in the 0.11 development cycle. Enter search terms or a module, class or function name. This documentation is for an old version of IPython. You can find docs for newer versions here. IPython 0.11 is a. With questions and feedback. Chris Fonnesbeck recently wrote an excellent post. In this appli...

3

Notebook docs have moved

http://ipython.org/ipython-doc/stable/interactive/htmlnotebook.html

The notebook docs have moved here.

4

Using IPython for parallel computing — IPython 3.2.1 documentation

http://ipython.org/ipython-doc/stable/parallel/index.html

Security in IPython notebooks. Overview and getting started. Enter search terms or a module, class or function name. This documentation is for an old version of IPython. You can find docs for newer versions here. Using IPython for parallel computing. Overview and getting started. Starting the IPython controller and engines. Configuring an IPython cluster. IPython on EC2 with StarCluster. IPython’s Direct interface. Starting the IPython controller and engines. Quick and easy parallelism.

5

Introducing IPython — IPython 3.2.1 documentation

http://ipython.org/ipython-doc/dev/interactive/tutorial.html

Using IPython for interactive work. The four most helpful commands. Define your own system aliases. Using IPython for interactive work. IPython Tips and Tricks. Enter search terms or a module, class or function name. This documentation is for an old version of IPython. You can find docs for newer versions here. Or look at examples in the IPython cookbook. If you’ve never used Python before, you might want to look at the official tutorial. Or an alternative, Dive into Python. The four most helpful commands.

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Analiza Sygnałów | bmtFx.com

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Bartosz Trzaskowski – Wizualizacje Architektoniczne, Wirtualne Wycieczki. Porównanie algorytmów detekcji fali V w badaniu słuchowych potencjałów wywołanych pnia mózgu. Porównanie algorytmów detekcji fali V w badaniu słuchowych potencjałów wywołanych pnia mózgu Bartosz Trzaskowski. Nowa Audiofonologia 2015; 4(2):43-52. W pracy przedstawione i porównane zostały wybrane systemy automatycznej detekcji słuchowych potencjałów wywołanych pnia mózgu, opisane w czasopismach naukowych przez różne zespoły badawcze.

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Fizyka Biomedyczna | bmtFx.com

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Bartosz Trzaskowski – Wizualizacje Architektoniczne, Wirtualne Wycieczki. Criteria for detection of transiently evoked otoacoustic emissions in schoolchildren. Criteria for detection of transiently evoked otoacoustic emissions in schoolchildren. Bartosz Trzaskowski, Edyta Pilka, W. Wiktor Jedrzejczak, Henryk Skarzynski. International Journal of Pediatric Otorhinolaryngology 79 (2015), pp. 1455-1461. Http:/ www.sciencedirect.com/science/article/pii/S0165587615003043. Transient evoked otoacoustic emissions.

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Performance Analysis with Performance Co-Pilot, iPython and pandas | Michele's Blog

http://www.isokongallery.com/posts/2014/12/performance-analysis-with-performance-co-pilot

Skip to main content. Performance Analysis with Performance Co-Pilot, iPython and pandas. One of many reasons to love Performance Co-Pilot. Is the fact that it is a fully fledged framework to do performance analysis. It makes it extremely simple to extend and to build anything on top of it. In this post we shall explore how simple it is to analyze your performance data using iPython. And the Quickstart guide. For this example I collected data over the course of a day with a 1 minute interval. Method, but...

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Tags - Beneath Data

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Tags for Beneath Data. Sat 04 October 2014. Does money buy wins in baseball? Tue 28 October 2014. Visualizing My Location History with Python, Shapely, and Basemap. Sun 10 January 2016. Email behavior analysis using Pandas. Sun 10 January 2016. Email behavior analysis using Pandas. Mon 22 September 2014. How I built this website using Pelican. Tue 28 October 2014. Visualizing My Location History with Python, Shapely, and Basemap. Tue 28 October 2014. Sat 04 October 2014. Does money buy wins in baseball?

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Scott Tsai's Blog: Exploring the Gdb Python API with IPython

http://blog.scottt.tw/2012/01/exploring-gdb-python-api-with-ipython_31.html

Tuesday, January 31, 2012. Exploring the Gdb Python API with IPython. Exploring the Gdb Python API with IPython. I've found a way to explore GDB's nice Python API. In a comfortable programming environment with Python name completion by using IPython. Save the following content in $HOME/bin/gdbipy. Usr/bin/gdb - python # vim: set filetype=python: from IPython.zmq.ipkernel import IPKernelApp app = IPKernelApp.instance() app.initialize([]) app.start(). In another terminal, run:. Here's an example session:.

spyder-ide.blogspot.com spyder-ide.blogspot.com

spyder: New enhanced scientific Python interpreter

http://spyder-ide.blogspot.com/2011/09/new-enhanced-scientific-python.html

Spyder is a free open-source development environment for the Python programming language providing MATLAB-like features in a simple and light-weighted software, available for all major platforms (Windows, Linux, MacOS X). Sunday, September 11, 2011. New enhanced scientific Python interpreter. The scientific startup script mentionned in my previous post was integrated in Spyder's development version (under the name scientific startup.py. September 11, 2011 at 10:27 AM. To load your it. Glad you like it!

ktashiro.net ktashiro.net

Mac OSX への Python 導入メモ | これは日記ではない

http://ktashiro.net/archives/157

Mac OSX への Python 導入メモ – これは日記ではない. London (Nov., 6-10, 2016). Mac OSX への Python 導入メモ. IPython をインストールしようと思っても公式サイト https:/ ipython.org/. に行ったら、Anaconda パッケージのインストールを強く推奨すると書かれていたので、素直に Anaconda パッケージ 4.2.0 for OSX / Python 3.5 version をインストールした。 Pandas とか MatPlotLib とか個別にインストールしないといけないのかと思っていたら、Anaconda に全部入ってた 。 Web で調べたところ MatPlotLib に日本語フォントが無いのが原因 ( ; ということだったので、下記サイトを参考にして IPA 日本語フォントをインストールした。 Http:/ kaisk.hatenadiary.com/entry/2015/02/15/215831. 伊藤裕一 速習 Python 3 上 プログラミングの基礎編.

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Tips for Customizing Your IPython and Pandas Display - Practical Business Python

http://pbpython.com/ipython-pandas-display-tips.html

Taking care of business, one python script at a time. Mon 04 May 2015. Tips for Customizing Your IPython and Pandas Display. Posted by Chris Moffitt. The combination of IPython. Makes it easy to interact with and display your data. Not surprisingly, these tools are easy to customize and configure for your own needs. This article summarizes some of the most useful and interesting options. For this particular post, I will show the detailed examples in a Notebook. Please see the Notebook. Vote on Hacker News.

python-para-impacientes.blogspot.com python-para-impacientes.blogspot.com

Python 3 para impacientes: Threading: programación con hilos (y II)

http://python-para-impacientes.blogspot.com/2016/12/threading-programacion-con-hilos-y-ii.html

Python 3 para impacientes. Simple es mejor que complejo" (Tim Peters). Viernes, 30 de diciembre de 2016. Threading: programación con hilos (y II). Es un tipo de hilo especial que permite ajustar el comienzo de su ejecución con un tiempo de espera. Además, mientras transcurre este tiempo de espera es posible cancelar su ejecución. Un temporizador es un objeto de la subclase Timer. Que deriva de la clase Thread. Y como sucede con sus ancestros admite el paso de argumentos:. Por otro lado, el método wait().

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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.

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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.

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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.

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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.

ipython.org ipython.org

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.readthedocs.io ipython.readthedocs.io

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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ipythonblocks

Ipythonblocks : code color. Ipythonblocks is a tool for practicing Python. It works in the IPython Notebook. And gives learners a grid of colors to manipulate while practicing. Statements, and other aspects of Python. It's a lot of fun! Ipythonblocks.org is a place to post grids so you can share your work. You're putting so much work into learning to program, you should be able to show it off! With ipythonblocks you can post your grids and the code you used to make them. Learn how!

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ipython console_ipython spark_ipython pycharm

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iPythonic

Welcome to iPythonic World. Twitter messages not available." — iPythonic. Use the form below to search the site:. Still not finding what you're looking for? Drop a comment on a post or contact us so we can take care of it! A few highly recommended friends. All entries, chronologically. Thanks for dropping by! Feel free to join the discussion by leaving comments, and stay updated by subscribing to the RSS feed.

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IPythonQt

I will implement a Qt-based Graphical User Interface (GUI) to execute Python code with an interpreter that runs in a separate process and the two systems (GUI frontend and interpreter kernel) communicating via the ZeroMQ Messaging library. Monday, August 9, 2010. IPythonQt end of GSoC status. Enthought approved some funding for our mentors to develop the basis of this big projects that are rising. Yay! There're some changes also in the kernel by Fernando and Bryan. Yesterday I was beginning the tooltip a...