Dec 13, 2020 · Dec 13, 2020 · Dec 13, 2020 · Dec 13, 2020 · Dec 13, 2020
diff --git a/.github/build.yml → .github/workflows/build.yml b/.github/build.yml → .github/workflows/build.yml
diff --git a/README.md b/README.md
 # Python Snippets

 These __Python Snippets__ are tested with Python 3.6.x.All snippetsare
 These __Python Snippets__ are tested with Python 3.7.x.andare
 available as Jupyter notebooks (http://jupyter.org/).


 ##Get started...
 To get started create a virtual environment and install the required packages.
 ##Getting Started
 All the required Python packages can be installed with `pipenv`.

 - Juypter Notebook
 - pandas
 - geojson
 - beautifulsoup4
 - feedparser
 - scikit-image
 - matplotlib
 ### Project Setup
 First you nee to install `pipenv`.

 ```bash
 $ pip install --user pipenv
 ```

 Install all the required packages

 ```bash
 $ pipenv install --dev
 ```

 ### Run the Notebook
 You can start `jupyter-lab` to play around with the Juypter notebooks.


 ```bash
 pipenv run jupyter-lab
 ```

 ### Run the Tests (nbval)
 To test the Jupyter notebooks this project uses [nbval](https://github.com/computationalmodelling/nbval), which is a `py.test`
 plugin for validating Jupyter notebooks.

 ### Conda
 The following example shows how to create an environment with _"conda"_
 (http://conda.pydata.org/) and Python 3.6 with
 the required packages.

 This will check all Jupyter notebooks for errors.

 ```bash
 conda create -n py36-ps python=3.6
 pipenv run py.test --nbval-lax
 ```

 ### Upgrade Python Packages
 Check which packages have changed.

 source activate py36-ps
 ```
 pipenv update --outdated
 ```

 This will upgrade everything.

 ```bash
 pipenv update
 ```

 ```
 ## CI Build (GitHub Actions)
 - ![CI Build](https://github.com/rueedlinger/python-snippets/workflows/CI%20Build/badge.svg)

 ## The Python Snippets
 The Python snippets are organized by topic.
Original file line number	Diff line number	Diff line change
		@@ -1,32 +1,59 @@
		# Python Snippets

		These __Python Snippets__ are tested with Python 3.6.x.All snippetsare
		These __Python Snippets__ are tested with Python 3.7.x.andare
		available as Jupyter notebooks (http://jupyter.org/).


		##Get started...
		To get started create a virtual environment and install the required packages.
		##Getting Started
		All the required Python packages can be installed with `pipenv`.

		- Juypter Notebook
		- pandas
		- geojson
		- beautifulsoup4
		- feedparser
		- scikit-image
		- matplotlib
		### Project Setup
		First you nee to install `pipenv`.

		```bash
		$ pip install --user pipenv
		```

		Install all the required packages

		```bash
		$ pipenv install --dev
		```

		### Run the Notebook
		You can start `jupyter-lab` to play around with the Juypter notebooks.


		```bash
		pipenv run jupyter-lab
		```

		### Run the Tests (nbval)
		To test the Jupyter notebooks this project uses [nbval](https://github.com/computationalmodelling/nbval), which is a `py.test`
		plugin for validating Jupyter notebooks.

		### Conda
		The following example shows how to create an environment with _"conda"_
		(http://conda.pydata.org/) and Python 3.6 with
		the required packages.

		This will check all Jupyter notebooks for errors.

		```bash
		conda create -n py36-ps python=3.6
		pipenv run py.test --nbval-lax
		```

		### Upgrade Python Packages
		Check which packages have changed.

		source activate py36-ps
		```
		pipenv update --outdated
		```

		This will upgrade everything.

		```bash
		pipenv update
		```

		```
		## CI Build (GitHub Actions)
		- ![CI Build](https://github.com/rueedlinger/python-snippets/workflows/CI%20Build/badge.svg)

		## The Python Snippets
		The Python snippets are organized by topic.
Expand Down