Python Programming Seminar

Presented by Hands-On Technology Transfer

Hands On Technology Transfer Computer Training

Bring this seminar on-site to your facility for groups of 10 or more.

This hands on Python programming course shows how to rapidly develop and maintain effective Python programs.

Course 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 learn to identify and correct problems through unit testing and exception handling. 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 and XML files. Students will be able to create Python scripts that assist with system administration, web services and web applications. Students will learn how to create GUI based Python programs to gracefully interact with the user.

Comprehensive hands on exercises are integrated throughout to reinforce learning and develop real competency.

Course Prerequisites: Prior scripting experience or knowledge of fundamental programming concepts.

What You Will Learn

Python Language Syntax
Flow Control Constructs
Python Program Deployment
Organizing Code Using Functions
Programming for User Interaction
Database Connectivity
Using Regular Expressions to Manipulate Data
Processing XML Files
Web Application Programming
Exception Handling
GUI Programming Concepts

Workshop Agenda

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 Creating and Executing Python Programs Using IDLE 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
Unit Testing and Debugging Using docstrings to Document Code Instrumenting Code with print Statements Testing Programs with PyUnit Creating Tests with the TestCase Object Organizing Tests with the TestSuite Object Working with pdb (Python Debugger)	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
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	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
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	GUI Programming GUI Programming Concepts GUI Programming Frameworks Installing the Tkinter Framework Using Tkinter to Create GUIs Using Tkinter Widgets
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	Working with XML Data Discussing Python XML Processing Modules Importing the ElementTree API Parsing XML Documents Searching XML Documents for Specific Nodes Creating XML Documents Using XML to Exchange Data Between Python Programs
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	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	Web Application Programming Using Web and Network Programming Modules Understanding Service Oriented Architecture (SOA) Connecting to Web Services Creating an HTTP Client Working with HTTP Servers

More Seminar Information

Hands-On Technology Transfer
Summary	This hands on Python programming course shows how to rapidly develop and maintain effective Python programs.
Delivery Method	Seminar
Also Available As	On-Site Training
Who Should Attend	Programmers