Python Basics

Python is an interpreted, object-oriented, high-level language that gets work done in a hurry! Python can improve all professionals ability to do work and is freely available on all major platforms without a charge. 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.

    No classes are currenty scheduled for this course.

    Call (919) 283-1653 to get a class scheduled online or in your area!

  1. Introduction to Python
    • Installing Python 2.7+
    • Installing Python 3.x
    • Preparing to write Python
    • Preparing to write a Python file (*.py) - Text Editors
    • Executing a Python file
    • Python Enhancement Proposals
    • How to “speak” Python
    • Python Statements and Control Flow
    • Python Interpreter
    • Overview of the Standard Library

  2. Version Controlling Code
    • 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
    • Objects
    • Methods
    • Built in Functions
    • Functions and Arguments
    • Print()
    • 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
    • Dictionaries
    • Python Dictionaries
    • Keys and Values
    • Dictionary Building
    • Dictionary Methods
    • Tuples
    • Python Time Tuples
    • Dictionaries vs Lists vs Tuples
    • Translating JSON to Pythonic Lists, Dictionaries and Tuples

  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. Python List Comprehension
    • Basic List Comprehensions
    • Compound List Comprehensions

  13. Creating Python Functions
    • Function Basics
    • Defining Functions
    • Function Polymorphism
    • Argument Defaults
    • Lambdas
    • What is if __name__ == “__main__”
    • Local Variables
    • Variable Masking
    • Creating functions using Sorted() and sort()
    • Preventing Variable Modifications
    • Argument Matching Methods

  14. Modules & Packages
    • Pip and pip3
    • Module Basics
    • Packages
    • Virtual environments
    • Defined modules
    • Import modules
    • From import statements
    • Namespace

  15. Python Scope
    • Naming conventions
    • Local scope
    • Global scope
    • Nested scope

  16. 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

  17. (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)

In this course, students will learn how to get started with Python, including an overview of the Standard Library, and popular 3rd party libraries. Lessons include version control with git, storing data in list and dictionaries, working with objects and methods, conditionals, looping, creating functions, and building classes. Highly relevant labs enhance these skills as students learn how to use JSON pulled from APIs, manipulate Excel spreadsheets, create feature rich charts and graphs, and parse log files with the Python regular expression library.

Lab 1 - Using vim
Lab 2 - Using leafpad
Lab 3 - Making a Github account
Lab 4 - Using & Installing Python
Lab 5 - The Shebang Line
Lab 6 - Starting to Use Print()
Lab 7 - Collecting Input()
Lab 8 - Working with Lists
Lab 9 - List Objects and Methods
Lab 10 - Lists of Lists
Lab 11 - Python Dictionaries
Lab 12 - Getting dir(obj) help() and pydoc
Lab 13 - String Methods
Lab 14 - Copying Files and Folders
Lab 15 - Moving and Renaming Files and Folders
Lab 16 - Testing if conditionals
Lab 17 - IPv4 Testing with if
Lab 18 - Writing your own if-logic script
Lab 19 - Using while, if, elif, else (Monty Python)
Lab 20 - Troubleshooting while, if, elif, else
Lab 21 - Starting to Learn Loops
Lab 22 - Looping with for
Lab 23 - for loops and range()
Lab 24 - Migrating 2.x to 3.x py
Lab 25 - Parsing Log Files
Lab 26 - Write to Files
Lab 27 - Read from Files
Lab 28 - Creating Functions
Lab 29 - Best Practice and pylint
Lab 30 - pip and import
Lab 31 - Exploring Network Interfaces
Lab 32 - Defining Functions
Lab 33 - Scripting Commands with Python
Lab 34 - Producing Graphs and Charts
Lab 35 - os.walk() the Directory Tree
Lab 36 - Python and Excel
Lab 37 - Python, APIs, and JSON
Lab 38 - Searching with Regular Expressions
Lab 39 - Creating objects in Python from "Scratch"
Lab 40 - Inheritance
Lab 41 - Using Classes

 

This course is an appropriate introduction to students of any background looking to get started with Python. System administrators, network engineers, managers, and those with development skills in other programming languages will find the lessons and labs highly relevant to their disciplines.

Ready to Advance Your Career?

CONTACT US NOW!