The Modern Python Challenge

Course Curriculum

Chapter 1: Implement Data Structures Using the Collections Module

Lecture 1: Course Overview

Lecture 2: namedtuple

Lecture 3: Deque

Lecture 4: Defaultdict

Lecture 5: Counter

Lecture 6: Setting up a character index application

Lecture 7: Completing the Character Index

Chapter 2: Data Analysis with Pandas

Lecture 1: Analyzing Car Data

Lecture 2: Finding the Most Common Word

Lecture 3: Reading Data Files

Lecture 4: Movie Data Analysis

Lecture 5: Downloading and Transforming Data

Lecture 6: Filtering Data

Chapter 3: Handling Various Data Formats and Databases

Lecture 1: Using ElementTree to Parse XML

Lecture 2: Converting Dict to namedtuple/JSON

Lecture 3: Parsing a CSV File and Creating a Bar Chart

Lecture 4: Using the IPinfo API to Lookup IP Country

Lecture 5: Turning Messy CSV into JSON

Lecture 6: Working with Relational Databases

Lecture 7: Analyzing NBA Data with SQLite3

Chapter 4: Working with Dates and Time Zones

Lecture 1: Date and Time Module Overview

Lecture 2: Formatting Dates Intermediate Level

Lecture 3: Parsing and Converting

Lecture 4: Working Between Time Zones

Lecture 5: Humanizing a Date and Time

Lecture 6: Calculating Time

Lecture 7: Finding a Holiday Date

Chapter 5: Decorators and Context Managers

Lecture 1: Introducing the Python Decorator

Lecture 2: Writing a Decorator with Arguments

Lecture 3: Writing a login_required Decorator

Lecture 4: Writing a Number Validation Decorator Advanced Level

Lecture 5: Writing a Context Manager

Lecture 6: Writing a Retry Decorator

Chapter 6: Working with Itertools Module

Lecture 1: Fix a Truncating Zip Function with zip_longest

Lecture 2: Calculating the Running Average of a Sequence

Lecture 3: Finding the Number Pairs Summing Up X

Lecture 4: Finding Combinations

Lecture 5: Finding Words from the English Language

Lecture 6: Grouping Data

Chapter 7: Fundamental Concepts in Object-Oriented Programming in Python

Lecture 1: Making a Class and Property

Lecture 2: Representation Methods

Lecture 3: Saving the Object Class

Lecture 4: Subclassing with dict

Lecture 5: Inheritance

Lecture 6: Advanced Properties

Chapter 8: Writing Regular Expressions in Python

Lecture 1: Overview of Regular Expressions Beginner Level

Lecture 2: Extracting Digits Out of a String Intermediate Level

Lecture 3: Replacing Characters in a String

Lecture 4: Finding Quotes and Extracting Them from a Text Advanced Level

Lecture 5: Validating Password

Lecture 6: Replacing Repeated Words

Chapter 9: Working with Strings in Python

Lecture 1: Slicing Strings Beginner Level

Lecture 2: Rotating String Characters

Lecture 3: Replacing Characters

Lecture 4: Removing Punctuation Characters from a Longer String

Lecture 5: Converting Hexadecimal Numbers to RGB Intermediate Level

Lecture 6: Check If Two Strings Are Anagrams

Chapter 10: Web Scraping with Python

Lecture 1: Introduction to Beautiful Soup Intermediate Level

Lecture 2: Viewing Source Code

Lecture 3: Extracting Hyperlinks from the Source Code

Lecture 4: Get List of the Most Recommended Books

Lecture 5: Scraping and Cleaning

Lecture 6: Editing Webpages

Chapter 11: Design Patterns

Lecture 1: Implementing Factory Method

Lecture 2: Creating HTML Page with Abstract Factory Pattern

Lecture 3: Implementing Singleton Pattern

Lecture 4: Implementing Builder Pattern

Lecture 5: Implementing Object Pool Pattern

Chapter 12: Network Programming with Python

Lecture 1: Writing a Basic Server

Lecture 2: Write Client

Lecture 3: Socket Functions

Lecture 4: Downloading an Image

Lecture 5: Network Discovery