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

First-class functions allow us to abstract away and pass around the behavior in our programs.

First-class functions allow us to abstract away and pass around the behavior in our programs.

What is the output of the following program?
```python3
def outer(x):

 def inner1(y): 
 return y+5

 def inner2(y): 
 return y+10

 if x <=50:
 return inner1 
 else:
 return inner2 

x = 75
call = outer(x) 

print(call(x)) 
```

What is the output of the following program?
<pre><code class="language-python3">def outer(x):

 def inner1(y): 
 return y+5

 def inner2(y): 
 return y+10

 if x &lt;=50:
 return inner1 
 else:
 return inner2 

x = 75
call = outer(x) 

print(call(x)) 
</code></pre>

What is the output of the following program?
```python3
def function(n):
  return lambda a : a - n

call = function(5)

print(call(4))
```

What is the output of the following program?
<pre><code class="language-python3">def function(n):
 return lambda a : a - n

call = function(5)

print(call(4))
</code></pre>

Closures can be nested, and they can capture and carry some of the parent function’s state with them.

A function may need to deal with external variables that are non-global when it is nested in another function.

An anonymous function cannot access non-global variables that are defined outside of its body.

Which of the following statements are true?

Which of the following statements are true?

The lambda function isn't bounded to a name.

The lambda function can't use regular Python statements.

The lambda function requires an explicit `return` statement.

Which of the following statements is false about _anonymous_ functions?

Which of the following statements is false about anonymous functions?

Choose one possible correct answer.

Choose one possible correct answer.

We hope that you performed well in the quiz.

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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

Quiz: Functional Programming