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

## Definition

A _**list comprehension**_ is a way of computing a list from a sequence or an iterator. The sequence may be a **list**, a **tuple**, a **set**, the **keys of a dictionary**, or a **string**. 

## General structure

List comprehension statements are always enclosed inside square brackets, `[]`. The general structure that these statements follow fall in two categories:

- **[expression for variable in sequence]** returns a list of the expression values when each variable in the sequence is used in the expression.

A list comprehension may include an optional `if` test.

- **[expression for variable in sequence if condition]** returns a list of the expression values for each variable in the sequence that satisfies the condition used in the expression.

## List comprehension uses

List comprehensions are powerful and worth getting to know. Here are some simple use cases:

1. List comprehensions can be used to **apply** an expression to **every element** of a list. You can see this in the following example:

# Definition

A _**list comprehension**_ is a way of computing a list from a sequence or an iterator. The sequence may be a **list**, a **tuple**, a **set**, the **keys of a dictionary**, or a **string**. 

# General structure

List comprehension statements are always enclosed inside square brackets, `[]`. The general structure that these statements follow fall in two categories:

- **[expression for variable in sequence]** returns a list of the expression values when each variable in the sequence is used in the expression.

A list comprehension may include an optional `if` test.

- **[expression for variable in sequence if condition]** returns a list of the expression values for each variable in the sequence that satisfies the condition used in the expression.

# List comprehension uses

List comprehensions are powerful and worth getting to know. Here are some simple use cases:

1. List comprehensions can be used to **apply** an expression to **every element** of a list. You can see this in the following example:

Learn about list comprehensions in Python.

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

List Comprehensions

Definition