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

This section addresses _two_ common questions, and coding without knowing the answers to them is like skating on thin ice. Without any further delay, let's explore them together.

## Holding references or copies
We must know the difference between holding a reference to an item and holding a copy of an item. For example, if we have two variables `x` and `y`:
```python3
x = [1, 2, 3]
y = x
```
The line `y = x` means that `y` holds the reference to the same list as `x`. Tweaking `x` as:
```python3
x.append(4)
```
will also affect the variable `y`. Run the following program to witness this change.

This section addresses _two_ common questions, and coding without knowing the answers to them is like skating on thin ice. Without any further delay, let's explore them together.

# Holding references or copies
We must know the difference between holding a reference to an item and holding a copy of an item. For example, if we have two variables `x` and `y`:
```python3
x = [1, 2, 3]
y = x
```
The line `y = x` means that `y` holds the reference to the same list as `x`. Tweaking `x` as:
```python3
x.append(4)
```
will also affect the variable `y`. Run the following program to witness this change.

Learn the comparison among =, ==, and is operator in Python.

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

How Operators Treat the Variables?

Holding references or copies