Upgrade the project to Python 3.7

README.md

@@ -18,13 +18,13 @@ full-semester course **[Introduction to Python & Programming](https://github.com
 ## Installation
 
 To follow this workshop on your own computer, a working installation of
-**Python 3.6** or higher is required.
+**Python 3.7** or higher is required.
 
 A popular and beginner friendly way is to install the [Anaconda Distribution](https://www.anaconda.com/distribution/)
 that not only ships Python but comes pre-packaged with a lot of third-party
 libraries from the so-called "scientific stack".
 Just go to the [download](https://www.anaconda.com/distribution/#download-section)
-section and install the latest version (i.e., *2019-10* with Python 3.7 at the
+section and install the latest version (i.e., *2020-02* with Python 3.7 at the
 time of this writing) for your operating system.
 
 Then, among others, you will find an entry "Jupyter Notebook" in your start

pyproject.toml

@@ -1,20 +1,20 @@
-[tool.poetry]
-name = "workshop-machine-learning-for-beginners"
-version = "0.1.0"
-description = "An introductory workshop on machine learning"
-authors = ["Alexander Hess <alexander@webartifex.biz>"]
-license = "MIT"
-
-[tool.poetry.dependencies]
-python = "^3.6"
-jupyter = "^1.0"
-numpy = "^1.17"
-matplotlib = "^3.1"
-pandas = "^0.25"
-scikit-learn = "^0.22"
-
-[tool.poetry.dev-dependencies]
-
 [build-system]
 requires = ["poetry>=0.12"]
 build-backend = "poetry.masonry.api"
+
+[tool.poetry]
+name = "workshop-machine-learning-for-beginners"
+version = "0.1.0"
+
+authors = ["Alexander Hess <alexander@webartifex.biz>"]
+description = "An introductory workshop on machine learning"
+license = "MIT"
+
+[tool.poetry.dependencies]
+python = "^3.7"
+
+jupyterlab = "^2.2.8"
+matplotlib = "^3.3.2"
+numpy = "^1.19.2"
+pandas = "^1.1.2"
+scikit-learn = "^0.23.2"