Python Programming

Duration: 4 Days (Face-to-Face or Remote-Live), or 28 hours of coursework with personal facilitation over a four week span (On-Demand)

US Price: $2095 (Face-to-Face or Remote-Live), or $1495 (On-Demand)

Delivery Options: Attend face-to-face in the classroom, remote-live or via on-demand training

Registration: Click here to view upcoming schedules and register for face-to-face sessions, click here to register for live remote attendance sessions, or click here to register for on-demand training with a start date that is convenient for you.

View the course schedule

Description

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.

Prerequisites

Prior scripting experience or knowledge of fundamental programming concepts.

Course Overview

Introduction to Python 3 Origin and Goals of Python Overview of Python Features 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 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 Creating Recursive 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 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 Embedding SQLite Databases in Applications Best Practices for Data Management Storing Data in Local Databases Discussing and Understanding the DB API Understanding and Using Common SQL Statements Connecting to a SQLite Database Using Cursors to interact with Data from a Database Implementing Error Handling with Database Connections