Python Programming

Course details

About this Course

This hands on Python programming course shows how to rapidly develop and maintain effective Python programs. The course includes thorough coverage of Python syntax, built in data types and control constructs. The course takes a practical approach to creating and organizing Python programs using functions, packages, modules and classes as part of Python's object-oriented paradigm. Attendees will use regular expressions to rapidly process data captured from users and from the file system. Attendees will learn how to use Python to create scripts that manipulate data, automate tasks, perform error handling and store and retrieve data by using relational databases. Students will be able to create Python scripts that assist with system administration. Comprehensive hands on exercises are integrated throughout to reinforce learning and develop real competency.

At Course Completion
After completing this course, students will learn:

• Working with Python's built-in objects
• Reading and writing files
• Creating variables and objects in Python
• Communicating with databases
• Creating structured data with lists, tuples, sets and dictionaries
• Performing conversion operations on numbers
• Using conditional constructs to control flow of execution
• Writing clear and concise regular expressions
• Organizing code with functions and classes
• Creating object-oriented Python programs
• Using exceptions to gracefully handle errors

COURSE DETAILS

• Introduction to Python 3
• Origin and Goals of Python
• Overview of Python Features

OUTLINE
 Getting and Installing Python
 Accessing Python Documentation: Python Enhancement Proposals (PEP)
 Python's Strengths
 Using Python with Other Programming Languages
Using Python
 Executing Python Programs from the Command Line
 Python Command Line Options
 Environment Variables that Influence Python
 Creating Python GUI Applications
 Standalone vs. Web-Enabled Interfaces
 The Python Standard Library
Language Fundamentals

• Python's Lexical Analyzer
• Using Whitespace to Structure Programs
• Identifiers and Keywords
• Python's Execution Model
• Naming Objects and Binding
• Python's Data Model
• Immutable and Mutable Objects
• Values
• Types
• Creating and Using Variables

Flow Control Constructs

• if/elif/else Statements
• Creating Loops with while and for
• Understanding Iterators
• Returning Values with return Statements
• Loop Modification with break and continue
• Returning Generator Iterators with the yield Statement
• Retrieving Iterators with next()

Expressions

• Unary and Binary Arithmetic Operations
• Comparison and Boolean Operations
• Conditional Expressions
• Lambda Expressions
• Order of Operations and Operator Evaluation
• Expression Lists
• Assignment Operations
• Exception Handling

OUTLINE

• Types of Python Exceptions
• Handling Exceptions with try/except/finally
• Triggering Exceptions with raise
• Defining New Exception Types
• Implementing Exception Handling in Functions, Methods and Classes
• Working with the Regular Expression Error Exception

Using the String Object

• Using ASCII and Unicode Strings
• Manipulating Strings with String Methods
• Using the format() Function to Format Strings
• Using Escape Sequences
• Working with Raw Strings

Organizing Code

• Defining Functions
• Calling Functions
• Creating Anonymous Functions
• Altering Function Functionality with Decorator Functions
• Creating Classes with the class Statement
• Creating Objects as Class Instances
• Using Preexisting Classes as the Basis of a New Class
• Using Modules to Group Related Functions, Classes and Variables
• Locating and Importing Modules
• Using Packages to Group Modules Together Arrays, Collections and Dictionaries
• Sequenced Data Structures
• Arrays
• Collections
• Dictionaries
• Creating and Accessing Lists
• Manipulating Lists
• Creating and Accessing Tuples
• Understanding the Differences Between Lists and Tuples
• Using Dictionaries to Create Data Records
• Manipulating Dictionaries Using Dictionary Methods
• Creating Sets
• Performing Set Operations
• Union
• Intersect
• Difference

OUTLINE

• Differences Between Sets and Dictionaries
• Using Generators to Return Iterators

Working with Arguments

• Passing Arguments to Functions by Reference and by Value
• Defining Functions with Required Arguments
• Defining Functions with Default Arguments
• Defining Flexible Functions that Take Variable Length Arguments

Regular Expressions

• Regular Expression Syntax
• Using Regular Expressions in Python
• Altering Regular Expression Processing with Regular Expression Modifiers
• Using Regular Expression Operators
• Scanning Through Strings Using the search() and match() Methods
• Creating Reusable Patterns by Using the compile() Method

Object Oriented Programming Concepts

• The Object Oriented Programming Paradigm
• Encapsulating Information
• Classes vs. Instances of Objects
• Built-in Class Attributes
• Implementing Class Inheritance
• Using Objects in Code

I/O Handling

• Sending Output to STDOUT Using the print() Method
• Reading Input with the input() Method
• Creating File Objects with the open() Method
• Controlling File Access Modes
• Working with File Object Attributes
• Closing File Objects with the close()Method
• Reading and Writing to File Objects with read() and write()
• Using File Processing Functions from the OS Module
• Data Management

Updated on 15 December, 2023