Add TeamCity integration

.gitignore

@@ -1,6 +1,8 @@
 .idea/
 out/
 build/
+distrib-build/
+artifacts/
 .gradle/
 *.iml
 **/.ipynb*

readme.md → README.md

@@ -1,4 +1,6 @@
-[![Build Status](https://travis-ci.com/Kotlin/kotlin-jupyter.svg?branch=master)](https://travis-ci.com/Kotlin/kotlin-jupyter) <br/>
+[![PyPI](https://img.shields.io/pypi/v/kotlin-jupyter-kernel?label=PyPi)](https://pypi.org/project/kotlin-jupyter-kernel/)
+[![Anaconda](https://img.shields.io/conda/v/jetbrains/kotlin-jupyter-kernel?label=Anaconda)](https://anaconda.org/jetbrains/kotlin-jupyter-kernel)
+[![GitHub](https://img.shields.io/github/license/Kotlin/kotlin-jupyter)](https://www.apache.org/licenses/LICENSE-2.0)
 
 # Kotlin kernel for IPython/Jupyter
 
@@ -18,11 +20,21 @@ Try samples online: [![Binder](https://mybinder.org/badge_logo.svg)](https://myb
 
 There are two ways to install kernel:
 
-### Conda package
+### Conda/PyPi packages
 
-If you have `conda` installed, just run:
+If you have `conda` installed, just run the following command to install stable package version:
 
-`conda install kotlin-jupyter-kernel -c jetbrains`
+`conda install -c jetbrains kotlin-jupyter-kernel` ([package home](https://anaconda.org/jetbrains/kotlin-jupyter-kernel))
+
+To install conda package from the dev channel:
+
+`conda install -c jetbrains-dev kotlin-jupyter-kernel` ([package home](https://anaconda.org/jetbrains-dev/kotlin-jupyter-kernel))
+
+You can also install this package through `pip` (stable and dev channels accordingly):
+
+`pip install kotlin-jupyter-kernel` ([package home](https://pypi.org/project/kotlin-jupyter-kernel/))
+
+`pip install -i https://test.pypi.org/simple/ kotlin-jupyter-kernel` ([package home](https://test.pypi.org/project/kotlin-jupyter-kernel/))
 
 ### From sources
 
@@ -165,4 +177,4 @@ If a library descriptor with the same name is found in several locations, the fo
 2. ['libraries'](libraries) folder at the latest master branch of `https://github.com/Kotlin/kotlin-jupyter` repository
 3. Kernel installation directory
 
-If you don't want some library to be updated automatically, put fixed version of its library descriptor into local settings folder.
+If you don't want some library to be updated automatically, put fixed version of its library descriptor into local settings folder.