Python is an interpreted, object-oriented, high-level language that empowers you to automate your work so it can be completed predictably and accurately. This freely available language is installed on all major platforms without a charge. Given Python’s vast libraries, you’ll have a head start programming most tasks.

Be it system admins, network, cloud, or storage engineers, all lessons in our courseware are highly relevant for scripting within the workplace, including; data retrieval and storage from the local system, working with RESTful APIs, and decoding JSON.

●     This course is an appropriate introduction to students of any background looking to get started with Python

●     System Administrators

●     Network Administrators and Engineers

●     DevOps Engineers

●     Management, Directors, VPs

Keyboard proficiency

●     Current Python3 Standard Library

●     Popular 3rd party libraries

●     Version control with git

●     Git integration with popular SCM (GitHub)

●     Parsing and building files

●     Pull JSON from API queries

●     Manipulate Excel and other popular formats with pandas dataframes

●     Building feature rich charts and graphs

●     Searching with Regular Expressions (regex)

●     Best practice techniques

1. 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

2. 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

3. 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

4. Python Basic Variables and Data Types

○     Numeric Types

○     Operators and Precedence / Arithmetic Expressions

○     Integers

○     Floating points

5. String Types

○     Generating Strings in Python

○     Common String Methods

○     Formatting String Output

○     Booleans

○     Printing and formatting strings

○     Scripting with input()

○     About raw_input()

6. 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

7. If, elif, else

○     Relational Operators

○     Logical operators

○     Comparison Operations

○     “simple” if Statement

○     If else statements

○     If elif

○     Nested if statement

8. Looping with “while”

○     While usage

○     Count controlled loop

○     Event controlled loop

○     Continue

○     Break

9. Looping with “for”

○     The for Loop

○     For iteration examples

○     Looping across data sets

○     Looping across lists of lists

○     Looping across lists of dictionaries

10. Understanding Iterators

○     The range() Function

○     Taking the range() of len()

○     Iterable Objects

○     The iter() Function

○     Looping with dictionaries

○     Looping with lists

11. 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

12. 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

13. 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

14. Python Scope

○     Naming conventions

○     Local scope

○     Global scope

○     Nested scope

15. 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

16. (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)