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 the statistics module

Python also provides you with a statistics module. Here are some of the functions provided by the `import statistics` command:

* `mean(data)` : This is the mathematical “average” of the data, computed by adding the values and dividing their sum by the number of values.

* `median(data)` : This is the “middle” number of the data, meaning half the values are less than or equal to it and half are greater than or equal to it. If there are an even number of values, the result is the mean of the two middle values.
* `mode(data)` : This is the number that occurs most often in the data (or if a tie, the first such number).

Here’s an example of this:

Learn about the statistics module 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

Statistics

Introduction to the statistics module