Introduction to Python 2.5 Programming

Details

The Python programming language was developed to provide a way to develop code that's easy to create and understand. While Python contains the same basic structures as other languages, it also offers unique functionality that makes your life as a programmer easier.

This course first covers basic programming structures and then moves on to more advanced topics. By the end of the course, you'll have the foundational knowledge you need to create a variety of Python files, whether they be short scripts, full programs, or graphical user interfaces.

Enrollment Options:

Instructor-Led
6 Weeks Access Course Code: ipy
Start Dates* Mar 13 | Apr 17 | May 15 | Jun 19
*Choose start date in cart

$129.99

USD

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Syllabus

Welcome to Python!

Two things that make Python attractive are that it's a free download and that it comes with a free development environment, IDLE. In the first lesson, you'll start off right by going on a brief tour of both the language and the environment. You'll see that with IDLE, you can either execute individual statements directly at the interpreter's prompt or save your commands in a program file to be run later. By the end of Lesson 1, you'll be fully prepared to work in IDLE using either method.

Get Interactive With Variables and User Input

Programs aren't terribly useful unless you have some way to store values in memory. In Lesson 2, you'll get up to speed with Python variables, and then you'll learn how to use these variables to get input from the user. With this, you'll be able to write Python code to make your programs interactive, making them more useful and a lot more interesting.

Decisions, Decisions

There are many times when you'll want one set of statements run in one situation and another set run in a different situation. For that, you'll need to use Python's if decision structure. In Lesson 3, you'll practice with Python's if syntax and learn how to write both simple and complex conditions to select which statements should be run.

Looping (And Looping and Looping)

Keeping with the theme of programming structures, this lesson is all about the repetition structure. You'll learn how to write both while and for loops in Python so that your statements can be repeated over and over until some condition is met. You'll also learn some looping features that are unique to Python that help to make your programs more powerful.

Modular Programming With Functions

Modular programming gives you the ability to write code once, give it a name, and then call on it by name at a later time. In Lesson 5, you'll learn how to write modular programs by creating functions. You'll also learn how to pass data into the functions and then to return values back, building on this knowledge as you proceed through the course.

Introduction to Object-Oriented Programming

Building on the concept of modular programming, next you'll explore object-oriented programming. This is a popular technique, and in Lesson 6, you'll get an introduction to how it's done in Python. You'll learn how to create a class definition and place variables and functions inside. Then later, you'll use this class to create some objects and work with them to solve simple problems.

Creating Graphics With Tkinter

It's now time to take some of the topics that have been covered and apply them to something a little more creative. In this lesson, you'll explore Python graphics, where you'll create and work with simple shapes and even get a chance to write programs that simulate animation so that you can watch your shapes move across the screen.

Python Data Structures 1: Lists and Tuples

Now that you're comfortable with the decision and repetition structures, as well as ways to organize your code, it's time to turn to ways of managing your data. In this lesson, you'll look at two of Python's basic data structures: lists and tuples. You'll learn how to create these types of variables and use them to manage data for your programs.

Python Data Structures 2: Dictionaries

While lists and tuples are useful structures, they put the burden on you to keep track of your data's position within the structure. However, the dictionary structure gives you the ability to associate a word with each piece of data. In this lesson, you'll learn how to use dictionaries to write useful programs in fewer lines of code that'll execute in a shorter amount of time.

Working With External Data Files

Programs that work with data in memory are great. However, it's also important to be able to save the data in a file for later use. In Lesson 10, you'll learn how to read from and write to data files. You'll also learn about Python's shelve feature, which is a database-like file that allows for quick and easy access to large amounts of data.

Handling Python Exceptions

Programs sometimes encounter problems as they execute. In object-oriented terms, you'd call this an exception. If the exception isn't handled, the program will crash. In this lesson, you'll learn about Python's exceptions and learn how to handle them to keep the program up and running, even when something unexpected happens.

GUIs With Tkinter

You'll finish the course by exercising the creative part of your brain again. This time, you'll learn how to create a graphical user interface (GUI) in Python. You'll learn how to display text with labels and get user data with text boxes, buttons, radio buttons, and check boxes. Now you'll be able to integrate all the conceptual material that you learned in the course with an attractive, easy to use interface to make for useful, interactive programs.

Requirements

Hardware Requirements:

  • This course can be taken on either a PC or Mac.

Software Requirements:

  • PC: Windows 8 or newer.
  • Mac: OS X Snow Leopard 10.6 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible.

Other:

  • Email capabilities and access to a personal email account.

Prerequisites

There are no prerequisites to take this course.

Instructor

Mike Orsega has a Bachelor's Degree in Physics from Pennsylvania State University and a Master's Degree in Applied Math from the University of Georgia. He is currently working on a Ph.D. in Computer Science at the University of Tennessee. Mike teaches programming both online and in the classroom and has more than five years of online teaching experience in subjects ranging from basic computer literacy to C# and Alice programming.

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