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.

python3.tar.gz

python3

python3-copy

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

A coroutine is defined as a generator function with `yield` in its body.

The first call is `next()` because the generator hasn’t started, so it’s not waiting
in a `yield` and we can’t send it any data initially.

A coroutine can be in one of three states.

Which state(s) can be held by a coroutine?

<p>Which state(s) can be held by a coroutine?</p>


The output is: __StopIteration: Result(count=3, average=15.5)__.

It's yielding values with each activation.

Identify the correct statement(s) for the following program.
```python3
from collections import namedtuple
Result = namedtuple('Result', 'count average')
def averager(): 
  total = 0.0
  count = 0 
  average = None 
  while True:
    term = yield
    if term is None:
      break
    total += term
    count += 1
    average = total/count
  return Result(count, average)

coro_avg = averager()
next(coro_avg)
coro_avg.send(10)
coro_avg.send(30)
coro_avg.send(6.5)
coro_avg.send(None)
```

<p>Identify the correct statement(s) for the following program.</p>
<pre><code class="language-python3">from collections import namedtuple
Result = namedtuple('Result', 'count average')
def averager(): 
  total = 0.0
  count = 0 
  average = None 
  while True:
    term = yield
    if term is None:
      break
    total += term
    count += 1
    average = total/count
  return Result(count, average)

coro_avg = averager()
next(coro_avg)
coro_avg.send(10)
coro_avg.send(30)
coro_avg.send(6.5)
coro_avg.send(None)
</code></pre>


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: Coroutines