Objectives

After completion of this course, you will learn how to :

• Understand how Python functions and what it’s useful for
• Understand Python’s place in the realm of programming dialects
• Work with and control strings in Python
• Perform math tasks with Python
• Work with Python arrangements: records, clusters, word references, and sets
• Collect client info and yield results
• Perform stream control preparing in Python
• Write to and read from records utilizing Python
• Write works in Python
• Handle special cases in Python
• Work with dates and times in Python

Outline

Module 1: Python Basics

• Running Python
• Hello, World!
• Literals
• Python Comments
• Variables
• WRiting a Python Module
• print Function
• Collecting User Input
• Getting Help
• Lab : Exercises in this Lesson
• Hello, World
• Exploring Types
• A Simple Python Script

Module 2: Functions and Modules

• Defining Functions
• Variable Scope
• Global Variables
• Function Parameters
• Returning Values
• Importing Modules
• Lab : Exercises in this Lesson
• A Function with Parameters
• Parameters with Default Values

Module 3: Math

• Arithmetic Operators
• Assignment Operators
• Built-in Math Functions
• The math Module
• The randon Module
• Lab : Exercises in this Lesson
• Floor and Modulus
• How Many Pizzas Do We Need

Module 4: Python Strings

• Quotation Marks and Special Characters
• String Indexing
• Slicing Strings
• Concatentaion and Repetition
• Common String Methods
• String Formatting
• Formatted String Literals (f-strings)
• Built-in String Functions
• Lab : Exercises in this Lesson
• Indexing Strings
• Slicing Strings
• Repetition
• Playing with Formatting
• Getting Acquainted with f-strings
• Outputting Tab-delimited Text

Module 5: Iterables: Sequences, Dictionaries, and Sets

• Definitions
• Sequences
• Unpacking Sequences
• Dictionaries
• The len Function
• Sets
• *args and **kwargs
• Lab : Exercises in this Lesson
• Remove and Return Random Element
• Simple Rock, Paper, Scissors Game
• Slicing Sequences
• Creating a Dictionary from User Input

Module 6: Flow Control

• Conditional Statements
• Loops in Python
• break and continue
• The enumerate() Function
• Generators
• List Comprehensions
• Lab : Exercises in this Lesson
• All True and Any True
• Word Guessing Game
• Find the Needle
• Rolling Dice

Module 7: Virtual Environments

• Virtual Environmen
• Lab : Exercises in this Lesson
• Working with a Virtual Environment

Module 8: Regular Expressions

• Regular Expression Syntax
• Python’s Handling of Regular Expressions

Module 9: Unicode and Encoding

• Bits and Bytes
• Hexadecimal Numbers
• Encoding
• Lab : Exercises in this Lesson
• Converting Numbers between Number Systems
• Finding Confusables

Module 10: File Processing

• Opening Files
• The os and os.path Modules
• Lab : Exercises in this Lesson
• Finding Text in a File
• Writing to FilesList CreatorAfter completing this module, students will be able to:Read files on the operating system.
• Create and write to files on the operating system.
• Access and work with directories on the operating system.
• Work with the os and os.path modules.

Module 11: Handling

• Wildcard except Clauses
• Getting Information on Exceptions
• The else Clause
• The finally Clause
• Using Exceptions for Flow Control
• Raising your Own Exceptions
• Exception Hierarchy
• Lab : Excercises in this Lesson
• Raising Exceptions
• Running Sum

Module 12: Python Dates and Times

• Understanding Time
• The time Module
• The datetime Module
• Lab : Exercises in this Lesson
• Report on Amtrack Departure Times

Module 13: Running Python Scripts from the Command Line

• sys.arg
• sys.path
• Lab : Exercises in this Lesson
• Migrating Settings by using Windows Easy Transfer
• Configuring a Reference Image of Windows 7
• Configuring a Reference Image

Target Audience

This course is planned for understudies who need to learn Python. Some programming experience is useful yet not required.

Prerequisites

• Some programming experience is useful, yet not required.