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

Mock Exam - verschiedene Themen

New Mock Exam

New Mock exam und Auffrischung von Slicing in Listen