Course Description
Short Course | 18 hours | 1.8 CEUs | $1,995
Python is a dynamic, strongly typed, object-oriented, multipurpose scripting language for the web. In this hands-on course students first learn the basics of writing and running Python scripts and then move into more advanced topics like file operations, regular expressions, working with binary data, and how to use Python modules. Topics include basic Python language components, the IDLE environment, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions.
Python - Introduction can apply to either Python Programming Certificate, or the Data Analyst I Professional Certificate.
PYT100 is the first course in the Python Programming Certificate. To complete the certificate students will also enroll in PYT200, & PYT300. Click on each course link for more details and to add to cart.
OR
PYT100 is taken as part of the Data Analyst I Professional Certificate. To complete the certificate students will also enroll in TAB100, BID615, & SQL100. Click on each course link for more details and to add to cart.
Course Outline
- Python Overview
- 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
- 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
- Language Components
- Indenting Requirements
- The if Statement
- Relational and Logical Operators
- Bit Wise Operators
- The while Loop
- break and continue
- The for Loop
- Collections
- Lists
- Tuples
- Sets
- Dictionaries
- Sorting Dictionaries
- Copying Collections
- 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
- Map
- Filter
- Mapping Functions in a Dictionary
- Lambda
- Inner Functions
- Closures
- Modules
- Modules
- Standard Modules - sys
- Standard Modules - math
- Standard Modules - time
- The dir Function
- Exceptions
- Errors
- Run Time Errors
- The Exception Model
- Exception Hierarchy
- Handling Multiple Exceptions
- Raise
- Assert
- 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
- 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
- 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
Prerequisites
- Programming/Scripting Experience recommended.
Duration
18 Hours | 3 Days or 6 Nights
Applies Towards the Following Certificates
- Data Analyst I Professional Certificate : Required
- Programming with Python Certificate : 48 Hour Certificate
- Software Engineering - Programming Certificate : 60 Hour Certificate
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.