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

## Introduction to generators

Generators are functions that return an iterator. One kind of **generator** looks just like a list comprehension, except that the enclosing brackets are replaced by parentheses. Generators may be used wherever an iterator may be used, in a `for` loop for example. 

Here’s an example. It will print **e e a o**.

word = 'generator'
g = (c for c in word if c in 'aeiou') # similar to list comprehension

for i in g: 
 print(i, end=' ') # prints e e a o

Here's how the code above works:

* **At line 2**, inside the parenthesis, the `for` loop iterates through the word `generator`. Then, using an `if` statement, it extracts all the vowels from the word. 

* Since we are using parenthesis here, `g` contains a generator rather than a value or a list. 
* At **line 4**, the `for` loop iterates over the generator and gives access to each of its values.
* This provides us with the result `e e a o`, which are the vowels present in the word `generator`.  

> **Caution**: After a generator returns all its values, it is “used up.” If the above `for` loop were called a second time, it would not print anything, because the variable `g` would hold an empty generator.

## Python generators with yield 

You can write functions that act as generators, by using `yield` instead of `return`. Here is an example generator for powers of **2**:

# Introduction to generators

Generators are functions that return an iterator. One kind of **generator** looks just like a list comprehension, except that the enclosing brackets are replaced by parentheses. Generators may be used wherever an iterator may be used, in a `for` loop for example. 

Here’s an example. It will print **e e a o**.

Here's how the code above works:

* **At line 2**, inside the parenthesis, the `for` loop iterates through the word `generator`. Then, using an `if` statement, it extracts all the vowels from the word. 

* Since we are using parenthesis here, `g` contains a generator rather than a value or a list. 
* At **line 4**, the `for` loop iterates over the generator and gives access to each of its values.
* This provides us with the result `e e a o`, which are the vowels present in the word `generator`.  

> **Caution**: After a generator returns all its values, it is “used up.” If the above `for` loop were called a second time, it would not print anything, because the variable `g` would hold an empty generator.

# Python generators with yield 

You can write functions that act as generators, by using `yield` instead of `return`. Here is an example generator for powers of **2**:

You’ll learn about the concept of generators 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

Generators

Introduction to generators