Search Results for "ipython" - Page 2
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Showing 41 open source projects for "ipython"
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setuptestx
Support of unit tests on multiple platforms and implementations.
The 'setuptestx' supports a common call interface for the major implementations and releases of Python on various operating systems and their variants of distributions. The current provided implementations are: - CPython, IPython, PyPY : Python2.7, and Python3.5+ - IronPython, Jython : Python2.7 For the OS see *Tested Platforms* in the manuals. -
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setuplibcore
Internal functions to avoid dependency issues
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yz-next-apyref
Arno-Can's Python based API Reference Generator.
Multi-Syntax-Version and Multi-Implementation API reference documentation generator. Supports local and remote sources. -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. -
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pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook
PivotTable.js is a Javascript Pivot Table and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing libraries in the world, so it makes sense to interface with it. -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
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Rodeo
A data science IDE for Python
...It is an IDE that has been built especially for data science/Machine Learning in Python and you can also very simply think of it as a light weight alternative to the IPython Notebook. -
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100 numpy exercises
100 numpy exercises (with solutions)
...The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach. For extended exercises, make sure to read From Python to NumPy. Markdown and ipython notebook are created programmatically from the source data in source/exercises.ktx. To modify the content of these files, please change the text in the source and run the generators.py module with a python interpreter with the libraries under requirements.txt installed. The keyed text format (ktx) is a minimal human readable key-values to store text (markdown or others) indexed by keys. -
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Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial
...However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA) and hierarchical clustering (HC) plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. -
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IHaskell
A Haskell kernel for the Jupyter project
...For a tour of some IHaskell features, check out the demo Notebook. More example notebooks are available on the wiki. The wiki also has more extensive documentation of IHaskell features. IHaskell is based upon the IPython architecture and frontend, so learning about that will help. You can write your own extensions using the IPython javascript API, for instance. Use h to learn more about the modal interface IHaskell/IPython provides. IHaskell adds a few features on top of the IPython frontends, such as automatic character concealing (typing -> yields an arrow) and input cell folding (via the left and right arrow keys, or the buttons). ... -
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Powerline Fonts
Patched fonts for Powerline users
Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome, i3 and Qtile. Powerline fonts plugin offers fonts such as: 3270, Anonymice Powerline, Arimo Powerline, Cousine Powerline, D2Coding for Powerline, DejaVu Sans Mono for Powerline, Droid Sans Mono for Powerline, Droid Sans Mono Dotted for Powerline , Fira Mono for Powerline, Go Mono for Powerline, Hack, Inconsolata-dz for Powerline, Input Mono, Liberation Mono Powerline, ProFontWindows, Meslo for Powerline, Source Code Pro for Powerline, Meslo Dotted for Powerline, Monofur for Powerline, Noto Mono for Powerline, Symbol Neu Powerline, Tinos Powerline, Ubuntu Mono derivative Powerline, etc. -
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DeepDream
This repository contains IPython Notebook with sample code
DeepDream is a small, educational repository that accompanies Google’s original “Inceptionism” blog post by providing a runnable IPython/Jupyter notebook that demonstrates how to “dream” through a convolutional neural network. The notebook shows how to take a trained vision model and iteratively amplify patterns the network detects, producing the hallmark surreal, hallucinatory visuals. It walks through loading a pretrained network, selecting layers and channels to maximize, computing gradients with respect to the input image, and applying multi-scale “octave” processing to reveal fine and coarse patterns. ... -
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Jupyter notebook snippets menu
Adds a customizable menu item to Jupyter (IPython) notebooks
Adds a customizable menu item to Jupyter notebooks to insert snippets, boilerplate, and examples of code. This notebook extension adds a menu item (or multiple menu items, if desired) after the Help menu in Jupyter notebooks. This new menu contains little snippets of code that we all forget from time to time but don't want to google, or are just too lazy to type, or simply didn't know about. It can also be helpful for people just starting out with a programming language, who need some ideas... -
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babes
Big Agent-Based Economic Simulator
BABES is an agent based economic simulation package written in Python. It optionally uses iPython notebook and shell as a user interface. It is intended as a general framework for investigating economic flows and patterns based on different economic models. -
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This is an editor for the pylab package. This editor work with ipython shell and pylab, and it enables us to run a script file or selection lines easily. It is suitable for writing a small script for daily scientific/engineering/academic report.