Python 101 - Basics (PBS)

 

Course Overview

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.

Class is a combination of live instructor demo and hands-on labs.

Who should attend

  • 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

Prerequisites

Keyboard proficiency.

Course Objectives

  • 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

Follow On Courses

Outline: Python 101 - Basics (PBS)

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)

Prices & Delivery methods

Online Training

Duration
5 days

Price
  • Online Training: CAD 3,160
  • Online Training: US$ 2,395
Classroom Training

Duration
5 days

Price
  • Canada: CAD 3,160

Click on town name or "Online Training" to book Schedule

This is an Instructor-Led Classroom course
Guaranteed date:   We will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
*   This class is delivered by a partner.

United States

Guaranteed to Run Online Training 10:00 US/Eastern * Enroll
Online Training 10:00 US/Eastern * Enroll