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Add TeamCity integration (#33)
* Refactor gradle tasks and ignore failing test. * Add conda package and upload * Add PyPi package and upload * Refactored build.gradle * Use build.number from TC * Added protected upload task * Disable autodeploy to master by default * Versioning improvements * Catch Keyboard interrupt to avoid stacktrace on cancelling Jupyter * Added info about packages to README
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readme.md README.md

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[![Build Status](https://travis-ci.com/Kotlin/kotlin-jupyter.svg?branch=master)](https://travis-ci.com/Kotlin/kotlin-jupyter) <br/>
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[![PyPI](https://img.shields.io/pypi/v/kotlin-jupyter-kernel?label=PyPi)](https://pypi.org/project/kotlin-jupyter-kernel/)
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[![Anaconda](https://img.shields.io/conda/v/jetbrains/kotlin-jupyter-kernel?label=Anaconda)](https://anaconda.org/jetbrains/kotlin-jupyter-kernel)
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[![GitHub](https://img.shields.io/github/license/Kotlin/kotlin-jupyter)](https://www.apache.org/licenses/LICENSE-2.0)
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# Kotlin kernel for IPython/Jupyter
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There are two ways to install kernel:
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### Conda package
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### Conda/PyPi packages
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If you have `conda` installed, just run:
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If you have `conda` installed, just run the following command to install stable package version:
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`conda install kotlin-jupyter-kernel -c jetbrains`
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`conda install -c jetbrains kotlin-jupyter-kernel` ([package home](https://anaconda.org/jetbrains/kotlin-jupyter-kernel))
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To install conda package from the dev channel:
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`conda install -c jetbrains-dev kotlin-jupyter-kernel` ([package home](https://anaconda.org/jetbrains-dev/kotlin-jupyter-kernel))
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You can also install this package through `pip` (stable and dev channels accordingly):
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`pip install kotlin-jupyter-kernel` ([package home](https://pypi.org/project/kotlin-jupyter-kernel/))
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`pip install -i https://test.pypi.org/simple/ kotlin-jupyter-kernel` ([package home](https://test.pypi.org/project/kotlin-jupyter-kernel/))
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### From sources
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2. ['libraries'](libraries) folder at the latest master branch of `https://github.com/Kotlin/kotlin-jupyter` repository
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3. Kernel installation directory
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If you don't want some library to be updated automatically, put fixed version of its library descriptor into local settings folder.
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If you don't want some library to be updated automatically, put fixed version of its library descriptor into local settings folder.

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