Data Management and Visualization

Anaconda und Jupyter Notebook Setup, Python Grundlage: Variablen, Data Typen: integer, float, string, Operatoren: +,-,*,/,//,% (Zahl gerade?),**, Zuweisungen: =,+=,-=,*=,etc., print Befehl, Strings, Property, slicing, upper, lower

Sequence Data types: Lists, Tuples and strings, Sets, Dictionaries, Conditional statements: if; if-else;if-elif-else, range, loops: for

nested lists, Numpy: Sum of vectors and matrices, Element-wise multiplication of vectors and matrices, Dot-Product of vectors and matrices, Pandas: reading datasets, creating data frames from dictionaries, loc and iloc

printing in Python, Loops with while, Write your own function, Plots in Python, Creating new variables with Pandas, Comprehensive Programming