Updated Python version

README.md

 # Constructivist Machine Learning (conML)
 
 ### Dependencies
-- Python >= 3.6
+- Python >= 3.7.4
 - (optional) conda or virtualenv
 
 ### Installation
-0. Install your favorite virtual environment and activate it. Run all commands inside your virtual
+0. Install your favorite virtual environment and activate it, e.g. conda (recommended) or virtualenv. Run all commands inside your virtual
    enviroment.
 
 1. Move into your project folder and install all dependencies.
@@ -19,11 +19,11 @@ python setup.py install
 ```
 ### Documentation
 
-You'll find the documentation at [readthedocs](https://conml.readthedocs.io/en/latest/).
+You'll find the documentation at [here](https://git.informatik.uni-leipzig.de/ml-group/conml/python/-/wikis/home).
 
 ### Quick Start
 
-#### Define main ingredients
+#### 1. Define main ingredients
 
 1. Begin by importing the conML module:
 
@@ -91,7 +91,7 @@ def generate_blocks():
         yield df.iloc[start:start+block_size]
 ```
 
-#### Starting the knowledge search
+#### 2. Starting the knowledge search
 
 After defining the individual components and the block generator the knowledge search can be
 started. Use a contextmanager to get a KnowlegeSearcher object. After every block processing, the
@@ -109,7 +109,7 @@ with conML.knowledge_searcher(*components, stdout=True) as searcher:
         haldes.append(halde)
 ```
 
-#### Saving the knowledge database
+#### 3. Saving the knowledge database
 Now that you have successfully completed the knowledge search save the database on your harddrive.
 
 ```python