Learn Practical Python 3 for Beginners (2018)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Why Choose This Course?

Lecture 2: What is Python?

Lecture 3: Resources + How to ask Questions? (IMPORTANT!)

Lecture 4: Installing Jupyter Notebook with Python

Lecture 5: Command Terminal (PC and MAC)

Lecture 6: Overview of Jupyter Notebook (PC + MAC Short-cuts)

Chapter 2: BASICS

Lecture 1: Variables and Mathematical Operators

Lecture 2: Comparison Operators

Lecture 3: Strings and Len

Lecture 4: Slice, Split and Join.

Lecture 5: Formatting Strings

Chapter 3: DATA STRUCTURES

Lecture 1: Lists and Range

Lecture 2: Tuples and Built-in Functions

Lecture 3: Sets

Lecture 4: Dictionaries

Lecture 5: Is Operator

Lecture 6: Structure Exercise

Lecture 7: Solutions

Chapter 4: CONTROL FLOW AND LOOPS

Lecture 1: Control Flow (if, eli, else)

Lecture 2: For Loops

Lecture 3: While Loops

Lecture 4: Loops with Control Flow

Lecture 5: Break, Pass, and Continue

Lecture 6: Loops Exercise

Lecture 7: Solutions

Lecture 8: Advanced Loops

Chapter 5: COMPREHENSION

Lecture 1: List Comprehension

Lecture 2: Control Flow in Comprehension

Lecture 3: Dictionary Comprehension

Lecture 4: Set Comprehension

Lecture 5: Comprehension Exercise

Lecture 6: Solutions

Chapter 6: FUNCTIONS

Lecture 1: Functions

Lecture 2: Built-in Functions

Lecture 3: *Args & **Kwargs (updated)

Lecture 4: Scope

Lecture 5: Random Module

Lecture 6: Decorators (Pure)

Lecture 7: Decorators (Practical)

Lecture 8: Function Exercise

Lecture 9: Solutions – Part 1

Lecture 10: Solutions – Part 2

Chapter 7: HANDLING ERRORS

Lecture 1: Try, Except, and Finally

Lecture 2: Lambda Expressions

Lecture 3: Errors Exercise

Lecture 4: Solutions

Chapter 8: FILES

Lecture 1: Files

Lecture 2: Pickle Module

Lecture 3: OS Module

Lecture 4: File Exercise

Lecture 5: Solutions

Chapter 9: MINI PROJECT

Lecture 1: Game – Part 1

Lecture 2: INTERLUDE (OPTIONAL)

Lecture 3: Game – Part 2

Chapter 10: GENERATORS

Lecture 1: Generator Functions

Lecture 2: Generator Expressions

Lecture 3: Map, Filter, and Reduce

Lecture 4: Generator Exercise

Lecture 5: Solutions

Chapter 11: OBJECT ORIENTATED PROGRAMMING

Lecture 1: Classes and Methods

Lecture 2: Initialization

Lecture 3: Class Attributes and Modules

Lecture 4: Decorators in classes – Part 1

Lecture 5: Decorators in classes – Part 2

Lecture 6: Creating Modules

Lecture 7: Inheritance – Part 1

Lecture 8: Inheritance – Part 2

Lecture 9: Inheritance – Part 3

Lecture 10: Composition

Lecture 11: Special Methods

Lecture 12: Static and Class Methods

Lecture 13: Encapsulation

Lecture 14: OOP Exercise

Lecture 15: Solutions – Part 1

Lecture 16: Solutions – Part 2

Chapter 12: NUMPY

Lecture 1: Numpy Arrays

Lecture 2: Advanced Indexing

Lecture 3: Numpy Methods

Lecture 4: NaN Values and Linear Algebra

Lecture 5: Random Methods

Lecture 6: Saving and Loading Numpy data

Lecture 7: Numpy Exercise

Lecture 8: Solutions

Chapter 13: PANDAS

Lecture 1: Pandas Series

Lecture 2: Pandas DataFrames

Lecture 3: Loc, Iloc, and Slicing

Lecture 4: Adding Dates