UNIX Training
Python Programming
Overview
Python is an Object Oriented rapid development language deployed in many scenarios in the modern world.
This Python Programming course is designed to give delegates the knowledge to develop / maintain Python scripts using the current version (V3) of Python.
There are many similarities between Python V2 and Python V3 so the skills gained on this course will allow the delegate to develop their own skills further using Python V2 or V3 to support the maintenance of scripts.
Prerequisites
Familiarisation with programming concepts is useful, this knowledge can be obtained by attendance on the Concepts of Programming course.
Objectives
Knowledge of Python to write, maintain and understand Python scripts.
Outline
Course Contents - DAY 1
Course Introduction
- Administration and Course Materials
- Course Structure and Agenda
- Delegate and Trainer Introductions
Session 1: INTRODUCTION TO PYTHON
- What is PYTHON and why PYTHON is useful
- Installing Python
- The IDLE editor
- A simple PYTHON Program
Session 2: PYTHON BASICS
- How to run PYTHON programs on UNIX and Windows platform
- Lines and Indentation
- Multiple line Statements
- Quotation Marks
- Reserved Words in Python
- Python Suites
- Input
- Output
- Working with Files
- Labs
Session 3: PYTHON VARIABLES
- Assignments
- Data Types
- Numbers
- Strings
- Lists
- Tuples
- Dictionaries
- Labs
Session 4: PYTHON OPERATORS
- Arithmetic Operators
- Comparison Operators
- Assignment Operators
- Bitwise Operators
- Logical Operators
- Membership Operators
- Identity Operators
- Operator Precedence
- Labs
Course Contents - DAY 2
Session 5: CONDITIONAL AND CONTROL STATEMENTS
- if elif else constructs
- while and for Loops
- Iteration
- Labs
Session 6: FUNCTIONS
- Creating Functions
- Def Statement
- Calling functions
- Scoping variables
- Passing arguments
- Labs
Session 7: MODULES
- What is a module
- Standard modules
- How to define and code a module
- Using import
- Argument passing and return values from a module
- Labs
Session 8: PATTERN MATCHING
- The re module
- How pattern matching works
- Pattern matching operators
- Pattern matching special characters
- Labs Part 1
- Pattern matching options
- Pattern substitution
- Pattern tagging
- Translation
- Labs Part 2
Course Contents - DAY 3
Session 9: Python OO
- Why use OO
- Creating a simple class
- Inheritance
- Passing data into a class
- More complex classes
- Labs
Session 10: EXCEPTIONS
- What are exceptions
- Default Handler
- catch/try/raise Statements
- Class Based Exceptions
- What Not To Do
- Labs
Session 11: WORKING WITH EMAIL
- Simple emails
- HTML Emails
- Working with Attachments
- Labs
Session 12: WORKING WITH DATABASES
- Python and Databases
- Connecting to MySQL Database
- Working with tables /Records