:: Home - Training - Programming - Python (MLP104)

 

Course Length:
4 Days
Course Description:
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, the IDLE environment, control flow constructs, I/O, sequences, collections, mappings, classes, GUIs, modules, regular expressions, and debugging. The course is supplemented with many hands on labs using either Linux or Windows.
Who Should Attend:
This course is designed for anyone who needs to learn how to write programs in Python.
Benefits of Attendance:
Upon completion of this course, students will be able to:
  • Execute Python code in a variety of environments
  • Use correct Python syntax in Python programs
  • Use the correct Python control flow construct
  • Write Python programs using various collection data types
  • Write home grown Python functions
  • Use many of the standard Python modules such as os, sys, math, and time
  • Trap various errors via the Python Exception Handling model
  • Use the IO model in Python to read and write disk files
  • Create their own classes and use existing Python classs
  • Understand and use the Object Oriented paradigm in Python programs
  • Use the Python Regular Expression capabilities for data verification
  • Write Graphical User Interfaces via the use of the Tkinter module
Prerequisites:
Students should have taken the Software Development for Non-Programmers course or have some experience with at least one programming language. Typically, students in this course will have already programmed in either C, C++, Java, Perl, Ruby, VB, or anything equivalent to these languages.
Course Outline:
  • Chapter 1: An Introduction to Python
    1. Introductory Remarks about Python
    2. Strengths and Weaknesses
    3. A Brief History of Python
    4. Python Versions
    5. Installing Python
    6. Environment Variables
    7. Executing Python from the Command Line
    8. IDLE
    9. Editing Python Files
    10. Getting Help
    11. Dynamic Types
    12. Python Reserved Words
    13. Naming Conventions
  • Chapter 2: Basic Python Syntax
    1. Introduction
    2. Basic Syntax
    3. Comments
    4. String Values
    5. String Operations
    6. The String format Method
    7. String Slicing
    8. String Operators
    9. Numeric Data Types
    10. Conversions
    11. Simple Input and Output
    12. The print Function
  • Chapter 3: Language Components
    1. Introduction
    2. Control Flow and Syntax
    3. Indenting
    4. The if Statement
    5. Relational Operators
    6. Logical Operators
    7. True or False
    8. Bit Wise Operators
    9. The while Loop
    10. The for Loop
  • Chapter 4: Collections
    1. Introduction
    2. Lists
    3. Dynamic Lists
    4. Sets
    5. Dictionaries
    6. Tuples
    7. Copying Collections
  • Chapter 5: Functions
    1. Introduction
    2. Defining Your Own Functions
    3. Parameters
    4. Documentation
    5. Keyword and Optional Parameters
    6. Passing Collections to a Function
    7. Variable Number of Arguments
    8. Scope
    9. Functions - First Class Citizens
    10. Some Advanced List Functions
    11. Lambda
    12. Modules
    13. Standard Modules - sys
    14. Standard Modules - math
    15. Standard Modules - time
    16. The dir() Function
  • Chapter 6: Exceptions
    1. Errors
    2. Run Time Errors
    3. The Exception Model
    4. Exception Hierarchy
    5. Handling Multiple Exceptions
    6. raise
    7. assert
    8. Writing Your Own Exception Classes
  • Chapter 7: Input and Output
    1. Introduction
    2. Data Streams
    3. Creating Your Own Data Streams
    4. Access Modes
    5. Writing Data to a File
    6. Reading Data From a File
    7. Additional File Methods
    8. Using Pipes as Data Streams
    9. Handling IO Exceptions
    10. Working with Directories
    11. Metadata
    12. The Pickle Module
  • Chapter 8: Classes in Python
    1. Classes in Python
    2. Principles of Object Orientation
    3. Creating Classes
    4. Instance Methods
    5. File Organization
    6. Pydoc
    7. Special Methods
    8. Class Variables
    9. Inheritance
    10. Polymorphism
    11. Type Identification
    12. Custom Exception Classes
  • Chapter 9: Regular Expressions
    1. Introduction
    2. Simple Character Matches
    3. Character and Character Classes
    4. Quantifiers
    5. Greedy Matches
    6. Grouping
    7. The re Module
    8. Substituting
    9. Splitting
    10. Compiling Regular Expressions
    11. Flags
  • Chapter 10: Writing GUI's in Python
    1. Introduction
    2. Components and Events
    3. An Example GUI
    4. The root Component
    5. Adding a Button
    6. Entry Widgets
    7. Text Widgets
    8. Checkbuttons
    9. Radiobuttons
    10. Listboxes
    11. Frames
    12. Menus
    13. Binding Events to Widgets
 
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