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The Python For Absolute Beginners Bootcamp

The Python For Absolute Beginners Bootcamp
Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 12.92 GB | Duration: 16h 40m
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-Along Project - Starting by developing the Character and Hero classes
Lecture 128-Along Project - Starting the play_game() function
Lecture 129-Along Project - Building our Game Map
Lecture 130-Along Project - Adding Map to our Hero Class
Lecture 131-Along Project - Implementing the Retrieve Position Method
Lecture 132-Along Project - Assigning a Position to Our Hero Class
Lecture 133-Along Project - Implemeting the Walk On Map Method - Part 1
Lecture 134-Along Project - Implemeting the Walk On Map Method - Part 2
Lecture 135-Along Project - Implemeting the Walk On Map Method - Part 3
Lecture 136-Along Project - Implemeting the Move Event Function
Lecture 137-Along Project - Battle Function Part 1
Lecture 138-Along Project - Battle Function Part 2
Lecture 139-Along Project - Battle Function Part 3
Lecture 140-Along Project - Adding the Battle to Move_Event
Lecture 141-Along Project - Coding the Receive_Items Function
Lecture 142-Along Project - Adding all other Events
Lecture 143-Along Project - Playing our Game for 10 Rounds
Lecture 144-Along Project - Finishing touches on Our Role Playing Game
Lecture 145-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

Homepage
https://www.udemy.com/course/the-python-for-absolute-beginners-bootcamp/




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