Python 101 – Basics

Introduction to Python

• Installing Python 3.x
• Preparing to write Python
• Preparing to write a Python file (*.py) – Text Editors
• Executing a Python file
• Python Enhancement Proposals (PEPs)
• Python Statements and Control Flow
• Python Interpreter
• Overview of the Standard Library

Version Controlling Code with Git

• Overview of Git
• Git commands
• Set up a GitHub account
• GitHub essentials
• README course requirements
• How to Set up a repo
• Issue a Pull request
• How to use “Issues” for peer review

Basics of Programming

• Functions and purpose of main()
• Objects
• Methods
• Built in Functions
• Arguments
• Controlling standard out
• White spacing basic rules
• String Literal Escape Sequences
• Python Variables
• Naming Conventions & Rules
• Types as Objects
• Sequence Types
• List Iteration
• List Enumeration
• Sequence Assignments
• Mutable vs Immutable Objects
• Assignment Shorthand

Python Basic Variables and Data Types

• Numeric Types
• Operators and Precedence / Arithmetic Expressions
• Integers
• Floating points

String Types

• Generating Strings in Python
• Common String Methods
• Formatting String Output
• Booleans
• Printing and formatting strings
• Scripting with input()
• About raw_input()

Lists & Dictionaries & Tuples

• Lists
• Mixed Lists
• Common List Methods
• Other List Operations
• An overview on and construction of dictionaries
• Keys and Values
• Dictionary Methods
• Tuples
• Python Time Tuples
• Dictionaries vs Lists vs Tuples
• Translating JSON to Pythonic data

If, elif, else

• Relational Operators
• Logical operators
• Comparison Operations
• “simple” if Statement
• If else statements
• If elif
• Nested if statement

Looping with “while”

• While usage
• Count controlled loop
• Event controlled loop
• Continue
• Break

Looping with “for”

• The for Loop
• For iteration examples
• Looping across data sets
• Looping across lists of lists
• Looping across lists of dictionaries

Understanding Iterators

• The range() Function
• Taking the range() of len()
• Iterable Objects
• The iter() Function
• Looping with dictionaries
• Looping with lists

Getting Data In and Out of Python

• Opening Files
• Working with Files
• Read data from files
• Controlling Output Location
• Intro to working with APIs
• What is a “REST”ful API?
• APIs and JSON

Creating Python Functions

• Function Basics
• Defining Functions
• Function Polymorphism
• Argument Defaults
• Lambdas
• What is if name == “main”
• Local Variables
• Variable Masking
• Preventing Variable Modifications
• Argument Matching Methods
• Basic List Comprehensions

Modules & Packages

• Pip and pip3
• Module Basics
• Packages
• Virtual environments
• Defined modules
• Import modules
• From import statements
• Some useful modules to know
• RESTful APIs and requests
• Dataframes with pandas
• Graphing with matplotlib

Python Scope

• Naming conventions
• Local scope
• Global scope
• Nested scope

Object Oriented Python

• About OOP
• The Class Statements
• Defining a class
• Class Inheritance
• Classes as Objects
• Using Dictionaries
• Understanding self
• Class fields and constructors
• Data structures
• Subclasses (Inheritance)
• Multiple Inheritance
• Static methods

(Optional) Regular Expression

• import re library
• Writing regular expression
• Searching for data in files
• Using Regular Expression to search data sets
• Searching for data in Wireshark Traces (Python and *.pcaps)