Gain insights into advanced Python 3, learn the Pythonic Way, explore data structures, functional and object-oriented paradigms, and master iterables, generators, and coroutines through practical projects.

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This highly interactive and advanced course will give you insight into the most common Python tricks and tips. This course is for practicing Python programmers who are aiming for proficiency in Python 3. If you want to switch from Python 2 to Python 3, this is your go-to course. 

This course will help you learn the Pythonic Way of writing code and leveraging advanced robust features to become more proficient than the average developer. You’ll start by covering Python’s built-in data structures, and then you’ll move on to different programming paradigms like functional programming and object-oriented programming. 

In the latter half of the course, you’ll focus on iterables, generators, and coroutines. You’ll also have the opportunity to work on two projects to help strengthen what you learn. In all, this course is perfect for anyone who wants to become a confident and competent Pythonista by picking up the idioms and practical tips.

Mastering the Art of Programming in Python 3

# Chaining the iterators
Multiple iterators chained together can pipeline a series of operations. Python’s generator functions and generator expressions can help us build robust iterator chains in no time.  

## Example
Suppose we have a generator that produces numbers from __1__ to __10__ inclusively, and another generator that squares the numbers. If we want to square the numbers, we can pipeline the output of the generators.
```python3
def Counter():
    a = 1
    while a <= 10:
        yield a
        a += 1
```
The above generator function generates the number from __1__ to __10__.
```python3
def square(num):
    for n in num:
        yield n**2
```
The above generator function squares a number `num`.
Let's build a pipeline.

Learn pipelining with the generators in this lesson.

Introduction

Built-in Data Structures

Functional Programming

Project I: Data Science with Data Structures

Data science with Data Structures

Project I Review

Object-Oriented Idioms

Iterables and Generators

Coroutines

Project II: Build Your Own Matrix Module

Build Your Own Matrix Library

Project II Review

Meta-Programming

The End

Building Pipelines

Chaining the iterators

Example