Gain insights into Python by exploring basic to advanced concepts, including loops, classes, and GUIs with Tkinter. Delve into testing and become a productive Python programmer.

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In this course, you will get a comprehensive overview of Python. You will start by laying the foundation and learning the introductory topics like operators, conditional statements, functions, loops, assignment statements, and more. You will then move onto more advanced topics such as classes and inheritance, iterators, list comprehensions, and dictionaries. Along with this, you will also get to explore the concept of testing and take a look at how GUI applications can be designed using Tkinter, Python's standard GUI library. 

By the time you're done, you'll be able to hit the ground running and be equipped with the tools that will allow you to be productive in Python.

Python 3: From Beginner to Advanced

# Object notation

Lists and strings (which you have already seen) and sets and dictionaries (which are coming up soon) are objects. There is special terminology for talking about objects:

* A **method** is a function defined on an object.
* You don’t “call” methods. You send _messages to an object_. This is unwieldy, so I like to say you _talk to_ objects.

Along with this, there is a special notation for using objects:

1. Name the object you are talking to.
2. Put a period (`.`).
3. Write the method name, along with any arguments (comma separated and in parentheses).

For example, if `s` is the string _`Hello World`_, then `s.lower()` is the string _`hello world`_. You can think of this as saying, “Hey `s`, give me a lowercase version of yourself.”

In this lesson, we will look at several different types of objects. 

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

Objects

Object notation