Python syntax, making comments using #, executing command lines, the print() function and its parameters with examples, a brief overview of data types with examples of commonly used ones, a brief intro to creating a variable, and data type casting

Download the PDF with simple step-by-step instructions and examples on:

Integers, Float, String, Lists, Dictionaries, Tuples, Sets, and Boolean variables 

Addition, Subtraction, Multiplication, Division (float division), Division (floor division), Modulus operator, and Exponents

Defining logic symbols, if statements, if else statements, for loops, while loops, nested loops, break statement, continue statement, and pass statement

Creating a function, calling the function, parameters and arguments (with integer and string examples), N parameters for N arguments, passing unknown argument examples using *, passing arguments using key=value syntax, passing unknown keyword arguments using **, establishing default parameter value in function, passing lists as arguments, return values and statements in functions, pass statements in functions, and recursion functions

The statistical functions overviewed are mean, fmean, geometric mean, harmonic mean, median, median low, median high, median grouped, mode, multimode, quantiles, population standard deviation, population variance, sample standard deviation, and sample variance. Includes formulas for certain functions. 

Create Series from a list, dictionary or scalar value; create a DataFrame from series, lists, and dictionaries; how to change the labels on an index; how to utilize functions such as loc/ iloc, describe, len, index, columns, head, tail, and extracting specific indices.