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.

complete.tar.gz

InputN-copy

Error-copy

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

Definitions of **functional programming** differ, but in general functional programming means

* Functions are objects, and they can be treated like any other value.
* Variables are **single assignment**. Once given a value, they are never changed.
* All functions are **pure**. The value returned by a function depends only on the arguments given to it, and if called again with the same arguments, it will produce the same value. This excludes any use of global variables or other external factors, such as the system clock.

Functional programming is widely regarded as an ivory-tower technique, not suitable for day-to-day programming. This is not the place to challenge that viewpoint, other than to note that all modern programming languages support functional programming to a greater or lesser extent.

## The functions are objects viewpoint

In this lesson, we consider only the first point above: **that functions are objects**. We will consider only a single example of such a use.

In the following example, the biggest function will find the largest value in a list of values:

# Definition

Definitions of **functional programming** differ, but in general functional programming means

* Functions are objects, and they can be treated like any other value.
* Variables are **single assignment**. Once given a value, they are never changed.
* All functions are **pure**. The value returned by a function depends only on the arguments given to it, and if called again with the same arguments, it will produce the same value. This excludes any use of global variables or other external factors, such as the system clock.

Functional programming is widely regarded as an ivory-tower technique, not suitable for day-to-day programming. This is not the place to challenge that viewpoint, other than to note that all modern programming languages support functional programming to a greater or lesser extent.

# The functions are objects viewpoint

In this lesson, we consider only the first point above: **that functions are objects**. We will consider only a single example of such a use.

In the following example, the biggest function will find the largest value in a list of values:

Learn about the concept of functional programming 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

Functional Programming

Definition

The functions are objects viewpoint