Introduction to Python 3 Programming (Practical Programming for Beginners)

Outline

Chapter 1. Python 3 Introduction

• What is Python?
• Python Documentation
• Where Can I Use Python?
• Which version of Python am I running?
• Running Python Programs
• Python Shell
• Dev Tools and REPLs
• IPython
• Jupyter
• Hands-On Exercise
• The Anaconda Python Distribution
• Summary

Chapter 2. Python Variables and Types

• Variables and Types
• More on Variables
• Assigning Multiple Values to Multiple Variables
• More on Types
• Variable Scopes
• The Layout of Python Programs
• Comments and Triple-Delimited String Literals
• Sample Python Code
• PEP8
• Getting Help on Python Objects
• Null (None)
• Strings
• Finding Index of a Substring
• String Splitting
• Raw String Literals
• String Formatting and Interpolation
• String Public Method Names
• The Boolean Type
• Boolean Operators
• Relational Operators
• Numbers
• "Easy Numbers"
• Looking Up the Runtime Type of a Variable
• Divisions
• Assignment-with-Operation
• Hands-On Exercise
• Dates and Times
• Hands-On Exercise
• Summary

Chapter 3. Control Statements and Data Collections

• Control Flow with The if-elif-else Triad
• An if-elif-else Example
• Conditional Expressions (a.k.a. Ternary Operator)
• The While-Break-Continue Triad
• The for Loop
• The range() Function
• Examples of Using range()
• The try-except-finally Construct
• Hands-On Exercise
• The assert Expression
• Lists
• Main List Methods
• List Comprehension
• Zipping Lists
• Enumerate
• Hands-On Exercise
• Dictionaries
• Working with Dictionaries
• Other Dictionary Methods
• Sets
• Set Methods
• Set Operations
• Set Operations Examples
• Finding Unique Elements in a List
• Common Collection Functions and Operators
• Hands-On Exercise
• Tuples
• Unpacking Tuples
• Hands-On Exercise
• Summary

Chapter 4. Functions and Modules

• Built-in Functions
• Functions
• The "Call by Sharing" Parameter Passing
• Global and Local Variable Scopes
• Default Parameters
• Named Parameters
• Dealing with Arbitrary Number of Parameters
• Keyword Function Parameters
• Hands-On Exercise
• What is Functional Programming (FP)?
• Concept: Pure Functions
• Concept: Recursion
• Concept: Higher-Order Functions
• Lambda Functions in Python
• Examples of Using Lambdas
• Lambdas in the Sorted Function
• Hands-On Exercise
• Python Modules
• Importing Modules
• Installing Modules
• Listing Methods in a Module
• Creating Your Own Modules
• Creating a Module's Entry Point
• Summary

Chapter 5. Working with File I/O and Useful Modules

• Reading Command-Line Parameters
• Hands-On Exercise (N/A in DCC)
• Working with Files
• Reading and Writing Files
• Hands-On Exercise
• Hands-On Exercise
• Random Numbers
• Hands-On Exercise
• Regular Expressions
• The re Object Methods
• Using Regular Expressions Examples
• Hands-On Exercise
• Summary

Lab Exercises

• Lab 1. Understanding Jupyter Notebooks
• Lab 2. Python Variables
• Lab 3. Dates and Times
• Lab 4. The if, for, and try Constructs
• Lab 5. Understanding Lists
• Lab 6. Dictionaries
• Lab 7. Sets
• Lab 8. Tuples
• Lab 9. Functions
• Lab 10. Functional Programming
• Lab 11. Reading Command-Line Parameters
• Lab 12. File I/O
• Lab 13. Using HTTP and JSON
• Lab 14. Random Numbers
• Lab 15. Regular Expressions