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

# Introduction to unit test methods

The following are some of the methods available in `unittest`, most of which are self-explanatory.

* `assertEqual(a, b)`

* `assertNotEqual(a, b)`
* `assertAlmostEqual(a, b)` for floating point numbers
* `assertAlmostEqual(a, b, places)`
* `assertTrue(x)`
* `assertFalse(x)`
* `assertIs(a, b)` tests for identity
* `assertIsNot(a, b)`
* `assertIsNone(x)`
* `assertIsNotNone(x)`
* `assertIn(a, b)`
* `assertNotIn(a, b)`
* `assertIsInstance(a, b)`
* `assertNotInstance(a, b)`
* `assertRaises(exception, function, arguments)`

All calls to these methods must be prefixed with `self.`.

Each of these methods has an optional final parameter, which may be any expression. The final parameter is used as a message in the `AssertionError` to provide any necessary additional information.

You’ll learn about the unit test methods available in Python in this lesson.

Introduction

The Absolute Bare Minimum

Better Tools

Classes

Getting Fancy

Testing

Graphical User Interfaces

Modules

Appendix

I Guess We're Doing Python Now Exam

Unit Test Methods

Introduction to unit test methods