Python Programming Class | Learn Python Programming (original) (raw)

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

Pricing

Face-to-face or remote-live: $2095

On-demand: $1495

Discounts: We offer multiple discount options. Click here for more information.

Duration

Face-to-face or remote-live: 4 Days

On-demand: Approximately 28 hours of coursework with personal facilitation, to be completed in a four week span.

Registration

Face-to-face: Click here to view our schedules and register for in-person sessions.

Remote-live: [Click here](../Register-Remote.php?Course=Python Programming) to register for live remote class sessions within a date range of your choosing.

On-demand: [Click here](../Register-On-Demand.php?Course=Python Programming) to register for on-demand training with personal facilitation, on a start date of your choosing.

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 Description

This hands on Python programming class 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 Python training 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.

Course Prerequisites

Prior scripting experience or knowledge of fundamental programming concepts required to learn Python programming.

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

Reviews

This is my third class and like the others, this class was great. I'm new to Python, but the class materials and instructor allowed for quick learning. Looking forward to using Python when I return home.
— J.M., W. M. Keck Observatory

The instructor is a really good technical instructor. This is the 2nd class I've taken and both have been excellent. It is a big investment in time and money, but it is worth it. I feel confident that I will get the opportunity to use Python for many practical applications.
— B.G., Vulcan Materials

Thank you so much for this experience! I definitely learned a lot and feel so much more equipped to tackle my job.
— D.H., Advisory Board Company

Course Schedule

Choose a city below to view a schedule and registration options. If you have any questions, please call us at 978-250-4299 between 9:00 am - 5:00 pm EST.

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