Introduction to Python Training

• Create working Python scripts following best practices
• Use Python data types appropriately
• Read and write files with both text and binary data
• Get familiar with the standard library and its work-saving modules
• Use statements and control structures
• Create professional Python applications to a basic level
• Learn to work with functions such as modules and classes
• Know when to use collections such as lists, dictionaries, and sets

• 1. An Introduction to Python
• A Brief History of Python
• Python Versions
• Installing Python
• Environment Variables
• Executing Python from the Command Line
• IDLE
• Editing Python Files
• Python Documentation
• Getting Help
• Dynamic Types
• Python Reserved Words
• Naming Conventions
• 2. Basic Python Syntax
• Basic Syntax
• Comments
• String Values
• String Methods
• The format Method
• String Operators
• Numeric Data Types
• Conversion Functions
• Simple Input and Output
• The % Method
• The print Function
• 3. Language Components
• Indenting Requirements
• The if Statement
• Relational Operators
• Logical Operators
• Bitwise Operators
• The while Loop
• break and continue
• The for Loop
• 4. Collections
• Lists
• Tuples
• Sets
• Dictionaries
• Sorting Dictionaries
• Copying Collections
• 5. Functions
• Defining Your Own Functions
• Parameters
• Function Documentation
• Keyword and Optional Parameters
• Passing Collections to a Function
• Variable Number of Arguments
• Scope
• Functions – “First Class Citizens”
• Passing Functions to a Function
• Mapping Functions in a Dictionary
• Lambda
• Inner Functions
• Closures
• 6. Modules
• Modules
• Standard Modules – sys
• Standard Modules – math
• Standard Modules – time
• The dir Function
• 7. Exceptions
• Errors
• Run Time Errors
• The Exception Model
• Exception Hierarchy
• Handling Multiple Exceptions
• raise
• assert
• Writing Your Own Exception Classes
• 8. Input and Output
• Data Streams
• Creating Your Own Data Streams
• Access Modes
• Writing Data to a File
• Reading Data From a File
• Additional File Methods
• Using Pipes as Data Streams
• Handling IO Exceptions
• Working with Directories
• Metadata
• The pickle Module
• 9. Classes in Python
• Classes in Python
• Principles of Object Orientation
• Creating Classes
• Instance Methods
• File Organization
• Special Methods
• Class Variables
• Inheritance
• Polymorphism
• Type Identification
• Custom Exception Classes
• 10. Regular Expressions
• Simple Character Matches
• Special Characters
• Character Classes
• Quantifiers
• The Dot Character
• Greedy Matches
• Grouping
• Matching at Beginning or End
• Match Objects
• Substituting
• Splitting a String
• Compiling Regular Expressions
• Flags

Anyone interested in learning Python with experience with at least one programming language. The course is supplemented with many hands-on labs, solutions, and code examples.

Optimally, students will have experience with at least one programming or scripting language e.g., C, C++, Java, etc. This being said, students with a technical inclination with experience developing projects like spreadsheets, SPSS scripts, Bash scripts, or macros are welcome to join.

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