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

# Using `lambda` keyword
An __anonymous function__ is a _single-expression_ function, having no name. The `lambda` keyword is used to declare the anonymous function. It can have any number of arguments but can have only one expression as stated above. Look at the simple example below and see how an anonymous function works.
```python3
x = lambda a: a+5 # anonymous function
```
The above anonymous function takes one argument `a` and returns `a+5` (single expression). 

The above anonymous function is similar to the following regular function defined using the `def` keyword:
```python3
def x(a):
    return a+5
````
So, the `lambda` keyword offers us a compact form to declare functions, as compared to the `def` keyword. 

## Calling an anonymous function
Run the following program.

Learn how to create a function with no name 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

Anonymous Functions

Using `lambda` keyword

Data science with Data Structures

Build Your Own Matrix Library

Anonymous Functions

Using lambda keyword

Using `lambda` keyword