The Python For Absolute Beginners Bootcamp

No Coding experience or Software Background needed. Learn Python and build your first piece of software!

What you'll learn

Manipulate the most important Python Data Structures

Build your own Python Functions

Understand Object Oriented Programming

Create a Python script completely from Scratch

Requirements

No programming experience needed

Computer with 4 GB of RAM

Curiosity!

Description

So, you've decided that you want to learn Python or you want to get familiar with it, but don't know where to start? Or are you a seasoned professional that wants to have a smooth transition into Python programming?Then, this course was designed just for you! This course was designed to be your first step into the Python programming world! We will delve deeper into the concepts of Python objects, understand how the language works and play around with  different Python data structures. This course contains lectures around the following groups: Code along lectures where you will see how we can implement the stuff we will learn! Test your knowledge with questions and practical exercises with different levels of difficulty!Do a practical project where you will build your first piece of Python software!This course was designed to be a gentle introduction to coding in Python. At the end of the course you should be able to use Python in the context of software engineering. Along the way you will also learn what Python integers, strings, lists and dictionaries are and how you can combine the knowledge of those objects to power up your code. Here are some examples of things you will be able to do after finishing the course:Load TXT files into Python;Build your own Python functions.Create your own Python objects, using object-oriented programming concepts.Master loops and conditionals in Python.Manipulate the most important Python data structures.Join thousands of professionals and students in this Python journey and discover the amazing power of this open-source language. This course will be constantly updated based on students feedback.

Overview

Section 1: Introduction

Lecture 1 Welcome to the Course!

Lecture 2 Course Materials

Section 2: Setting up the Course Environment

Lecture 3 Downloading and Installing the Anaconda Distribution

Lecture 4 Creating an Environment from Scratch and Installing Jupyter Notebooks

Lecture 5 Navigating the Jupyter Notebook Folder Structure

Lecture 6 Loading the Python for Absolute Beginners Environment using a Yaml File

Lecture 7 [Alternative] - Setting up and Using Google Colab

Section 3: Python as a Calculator and Data Types

Lecture 8 Let's start!

Lecture 9 A Jupyter Notebook Introduction

Lecture 10 Basic Math with Python

Lecture 11 Using Mathematical Functions

Lecture 12 Data Types Introduction - Integers

Lecture 13 Data Types Introduction - Using External Libraries

Lecture 14 Data Types Introduction - Floats

Lecture 15 Data Types Introduction - Strings

Lecture 16 Data Types Introduction - Bool

Lecture 17 Exercises - Udemy Environment Walkthrough

Lecture 18 Code Along - Python as a Calculator and Data Types Exercises

Section 4: Conversions, Variables and Comparisons

Lecture 19 Conversions - Converting to Int and/or Float

Lecture 20 Conversions - Converting to Str and Bool

Lecture 21 Variables - Introduction to Variables

Lecture 22 Variables - Calculations with Variables and Other Details

Lecture 23 Comparison Operators

Lecture 24 Logical Operators - AND / OR / NOT

Lecture 25 Logical Operators - Order of Operations

Lecture 26 Identity Operators

Lecture 27 Udemy Environment Exercises Walkthrough Solution

Lecture 28 Exercises on Your Environment - Walkthrough

Lecture 29 Code Along Solutions - Exercises on Your Environment

Section 5: Python Strings - A Deep Dive

Lecture 30 Fine Point - How Strings are Stored

Lecture 31 Indexing Strings

Lecture 32 Indexing Strings - Slicing

Lecture 33 Immutability Property

Lecture 34 Combining Strings

Lecture 35 String Iteration and First Glimpse on Indentation

Lecture 36 Testing Substrings with Identity Operators

Lecture 37 Escaping Characters

Lecture 38 Raw Strings and Multi-Line Statements

Lecture 39 Strings Functions and Methods - Part 1

Lecture 40 Strings Functions and Methods - Part 2

Lecture 41 Formatting Strings - Using %s

Lecture 42 Formatting Strings - .format method and f-strings

Lecture 43 Formatting Strings - Number Formatting

Lecture 44 Udemy Environment Exercises Walkthrough Solution

Lecture 45 Code Along Solutions - Exercises on Your Environment

Section 6: Python Integers and Floats

Lecture 46 Built-In Functions | Keyword Arguments

Lecture 47 Intro to Libraries/Packages | Ceil Function

Lecture 48 Exploring some Functions of the Math Library

Lecture 49 Udemy Environment Exercises Walkthrough Solution

Lecture 50 Code Along Solutions - Exercises on Your Environment

Section 7: Python Lists

Lecture 51 Creating Python Lists

Lecture 52 Indexing Lists

Lecture 53 Lists Mutability and Changing Elements

Lecture 54 Adding Elements to Lists

Lecture 55 Concatenating Lists

Lecture 56 Deleting Elements from Lists

Lecture 57 Lists Functions and Methods

Lecture 58 Lists' Copy Method

Lecture 59 Udemy Environment Exercises Walkthrough Solution

Lecture 60 Code Along Solutions - Exercises on Your Environment

Section 8: Python Dictionaries

Lecture 61 Creating Python Dictionaries

Lecture 62 Indexing Dictionaries

Lecture 63 Adding Elements to Dictionaries

Lecture 64 Changing and Updating Elements from Dictionaries

Lecture 65 Deleting elements from Dictionaries

Lecture 66 Udemy Environment Exercises Walkthrough Solution

Lecture 67 Code Along Solutions - Exercises on Your Environment

Section 9: Sets and Tuples

Lecture 68 Sets Introduction

Lecture 69 Adding Elements, Removing Elements or Combining Sets

Lecture 70 Tuples Introduction

Lecture 71 Combining Tuples and Tuple Functions

Lecture 72 Udemy Environment Exercises Walkthrough Solution

Lecture 73 Code Along Solutions - Exercises on Your Environment

Section 10: Course Break

Lecture 74 Python Check-In - Learning Status

Section 11: Python Conditionals and Loops

Lecture 75 If Else Statements

Lecture 76 Enter the Elif Condition

Lecture 77 Nested Ifs

Lecture 78 One-Line Ifs

Lecture 79 Pass Statement

Lecture 80 For Loops

Lecture 81 Incrementing Variables Using For Loops

Lecture 82 Combining Conditionals and Iterators

Lecture 83 Break, Pass and Continue

Lecture 84 While Loops

Lecture 85 List Comprehension

Lecture 86 Iterating through Dictionaries

Lecture 87 Enumerate and Range

Lecture 88 Udemy Environment Exercises Walkthrough Solution

Lecture 89 Code Along Solutions 1 - Exercises on Your Environment

Lecture 90 Code Along Solutions 2 - Exercises on Your Environment

Section 12: Reading and Writing Files

Lecture 91 Working Directories Introduction

Lecture 92 Listing Files, Adding or Deleting Folders

Lecture 93 Opening Files, Relative and Absolute Paths

Lecture 94 Reading Files

Lecture 95 Writing Files

Lecture 96 Writing Dictionary Objects into Json

Lecture 97 Reading Json Files into Dictionaries

Lecture 98 Udemy Environment Exercises Walkthrough Solution

Lecture 99 Code Along Solutions - Exercises on Your Environment

Section 13: Python Functions

Lecture 100 Introduction to Python Functions

Lecture 101 Function Arguments and Introduction to Global vs. Local Scope

Lecture 102 More on Global vs. Local Scope

Lecture 103 Defining Multiple Arguments and Building Custom Power Function

Lecture 104 Using Multiple Returns in a Function

Lecture 105 Discussing Default Values in Arguments

Lecture 106 Using *args

Lecture 107 Using **kwargs

Lecture 108 Nesting Functions

Lecture 109 Documentation (Type Hinting and Docstrings)

Lecture 110 Tutorial 2 - Exercises

Lecture 111 Code Along Solution - Exercise 1

Lecture 112 Code Along Solution - Exercise 2

Lecture 113 Code Along Solution - Exercise 3

Lecture 114 Code Along Solution - Exercise 4

Section 14: Object Oriented Programming

Lecture 115 Introduction to Object Oriented Programming

Lecture 116 The __init__ method

Lecture 117 Adding a new method to our PizzaMaker Class

Lecture 118 Adding more Methods to our Class

Lecture 119 Adding the Put Pizza in Oven Method and Raising Errors

Lecture 120 Creating a Method that uses other Methods

Lecture 121 Inheritance Introduction and Extending Attributes

Lecture 122 More on Inheritance and Adding Methods to our Class

Section 15: Practical Project - Building our own RPG (Role Playing Game)

Lecture 123 Practical Project Introduction

Lecture 124 What is an RPG (Role Playing Game)?

Lecture 125 Problem Statement: RPG Game Features and Suggested Order of Implementation

Lecture 126 Reading Hints

Lecture 127 [Code-Along Project] - Starting by developing the Character and Hero classes

Lecture 128 [Code-Along Project] - Starting the play_game() function

Lecture 129 [Code-Along Project] - Building our Game Map

Lecture 130 [Code-Along Project] - Adding Map to our Hero Class

Lecture 131 [Code-Along Project] - Implementing the Retrieve Position Method

Lecture 132 [Code-Along Project] - Assigning a Position to Our Hero Class

Lecture 133 [Code-Along Project] - Implemeting the Walk On Map Method - Part 1

Lecture 134 [Code-Along Project] - Implemeting the Walk On Map Method - Part 2

Lecture 135 [Code-Along Project] - Implemeting the Walk On Map Method - Part 3

Lecture 136 [Code-Along Project] - Implemeting the Move Event Function

Lecture 137 [Code-Along Project] - Battle Function Part 1

Lecture 138 [Code-Along Project] - Battle Function Part 2

Lecture 139 [Code-Along Project] - Battle Function Part 3

Lecture 140 [Code-Along Project] - Adding the Battle to Move_Event

Lecture 141 [Code-Along Project] - Coding the Receive_Items Function

Lecture 142 [Code-Along Project] - Adding all other Events

Lecture 143 [Code-Along Project] - Playing our Game for 10 Rounds

Lecture 144 [Code-Along Project] - Finishing touches on Our Role Playing Game

Lecture 145 [Code-Along Project] - Adding Documentation to Our Functions

Section 16: Course Ending

Lecture 146 Thank you!

Lecture 147 Bonus Lecture

Beginner Python Developers,People that want to learn their first Programming Language,Software Engineering Students,Data Science Students