Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning.

Course Overview

Though Python® has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development—all areas in which Python is widely used.

You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions.

Course Objectives

In this course, you will develop simple command-line programs in Python. You will:

• Set up Python and develop a simple application.
• Declare and perform operations on simple data types, including strings, numbers, and dates.
• Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets.
• Write conditional statements and loops.
• Define and use functions, classes, and modules.
• Manage files and directories through code.
• Deal with exceptions.

Target Audience and Prerequisites

To ensure your success in the course, Some experience programming in an object-oriented language is helpful, but even if you don’t have such experience, this course can be useful to those that are new to programming and you should have at least a foundational knowledge of personal computer use

Course Content

...

Lesson 1: Setting Up Python and Developing a Simple Application

• Topic A: Set Up the Development Environment
• Topic B: Write Python Statements
• Topic C: Create a Python Application
• Topic D: Prevent Errors

Lesson 2: Processing Simple Data Types

• Topic A: Process Strings and Integers
• Topic B: Process Decimals, Floats, and Mixed Number Types

Lesson 3: Processing Data Structures

• Topic A: Process Ordered Data Structures
• Topic B: Process Unordered Data Structures

Lesson 4: Writing Conditional Statements and Loops in Python

• Topic A: Write a Conditional Statement
• Topic B: Write a Loop

Lesson 5: Structuring Code for Reuse

• Topic A: Define and Call a Function
• Topic B: Define and Instantiate a Class
• Topic C: Import and Use a Module

Lesson 6: Writing Code to Process Files and Directories

• Topic A: Write to a Text File
• Topic B: Read from a Text File
• Topic C: Get the Contents of a Directory
• Topic D: Manage Files and Directories

Lesson 7: Dealing with Exceptions

• Topic A: Handle Exceptions
• Topic B: Raise Exceptions

Read more