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Mastering the Art of Programming in Python 3
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Learn advanced Python 3 techniques, explore built-in data structures, and delve into functional and object-oriented programming. Discover iterables, generators, and coroutines through projects.

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Overview

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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.

This highly interactive and advanced course will give you insight into the most common Python tricks and tips. This course is fo...Show More

Content

73 Lessons2 Projects8 Quizzes8 Challenges

Introduction

1 Lessons

Get familiar with advanced Python 3 features and practical programming techniques for proficiency.

What is This Course About?

Built-in Data Structures

14 Lessons

Unpack the core of Python's built-in data structures for clean, efficient code.

List Comprehensions

Tuples

Challenge: Read the Line Segments

Solution Review: Read the Line Segments

Namedtuple: An Extension of Tuple

Stacks and Queues

Challenge: Prefix to Postfix Conversion

Solution Review: Prefix to Postfix Conversion

Sets

Counter: A High-Performance Container

Dictionaries

Challenge: Count with Dictionary

Solution Review: Count with Dictionary

Quiz: Built-in Data Structures

Functional Programming

11 Lessons

Master the steps to leverage first-class functions, decorators, closures, and anonymous functions in Python.

First-Class Functions

Functions with Optional Arguments

Decorators

Closures

Challenge: Decode the Message

Solution Review: Decode the Message

Anonymous Functions

Challenge: Square the Factorials

Solution Review: Square the Factorials

Functional Behavior of an Object

Quiz: Functional Programming

Project I: Data Science with Data Structures

2 Lessons

Apply your skills to process and analyze datasets using Python for real-world data science tasks.

Reading a Dataset with Data Structures

Time to Code

Data science with Data Structures

Project

Project I Review

3 Lessons

Solve problems in data analysis, task automation, and dataset refinement using Python programming.

Solution: Task I to Task IV

Solution: Task V to Task VIII

Quiz: Test Yourself

Object-Oriented Idioms

13 Lessons

See how it works in object references, copying, methods, exceptions, and operator overloading in Python.

How Operators Treat the Variables?

Shallow Copy vs Deep Copy

Pass by Reference

Exception Classes

Class Variable vs Instance Variable

Class, Instance and Static Methods

Abstract Base Classes

Challenge: Devise a Shape System

Solution Review: Devise a Shape

Operator Overloading

Challenge: Overload the Operators for Vectors

Solution Review: Overload the Operators for Vectors

Quiz: Object-Oriented Idioms

Iterables and Generators

13 Lessons

Build on concepts of iterables, iterators, generators, and context managers to enhance Python fluency.

Iterables in Python

Iterators in Python

Challenge: Create a Fibonacci Iterator

Solution Review: Create a Fibonacci Iterator

Generators in Python

Challenge: Generate Fibonacci Series with Generator

Solution Review: Generate Fibonacci Series with Generator

Quiz 1: Regulating the Control Flow

Generator Expressions

The Potency of else Block

Building Pipelines

Context Manager Protocol

Quiz 2: Regulating the Control Flow

Coroutines

6 Lessons

Learn how to use Python coroutines for asynchronous programming and exception handling.

Introduction to Coroutines

Challenge: Coroutine to Compute Running Maximum

Solution Review: Coroutine to Compute Running Maximum

Priming a Coroutine

Handling the Exceptions

Quiz: Coroutines

Project II: Build Your Own Matrix Module

1 Lessons

Get started with building a Matrix module in Python using object-oriented programming.

Matrix with Python

Build Your Own Matrix Library

Project

10.

Project II Review

2 Lessons

Work your way through implementing matrix operations with Python, including addition, multiplication, and coroutines.

Solution: Task I to Task IV

Solution: Task V to Task VIII

Build Data-centric Dashboards Using Dash

Project

11.

Meta-Programming

6 Lessons

Enhance your skills in metaprogramming with dynamic classes, custom metaclasses, and performance tracking.

Introduction to Meta-Programming

Dynamic Classes

Custom Meta-Classes

Challenge: Time My Functions

Solution Review: Time My Functions

Quiz: Meta-Programming

12.

The End

1 Lessons

Take a look at key Python programming topics and further learning paths.

Conclusion

Time Series Analysis and Visualization Using Python and Plotly

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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