Course Program

#1Getting Started: Python Course Overview and Setup
  • Welcome to the Python Masterclass: Meet Your Expert Instructors---
  • Course Enhancements: Updates, Larger Fonts, and Downloadable Slides---
  • Optimizing Video Playback: Achieving Crisp 1080p Resolution on Udemy---
  • Enhance Comprehension: Enabling and Using Hand-Edited English Subtitles---
  • Mastering Python Support: Utilizing the Q&A for Effective Assistance---
  • Maximize Learning: The Importance of Hands-On Coding and Source Code Access---
#2Comprehensive Guide: Setting Up Your Python Environment
  • What is an IDE?---
  • Step-by-Step Python Installation for Windows 10 and 11: Download to Setup---
  • Installing IntelliJ IDEA on Windows: A Quick and Easy Guide for Beginners---
  • macOS Python Installation: Downloading and Setting Up Python on Your Mac---
  • Get Started with IntelliJ IDEA on macOS: Download and Installation Guide---
  • Installing Python on Linux (Ubuntu 22.04): Terminal Commands & Pip Setup---
  • Installing IntelliJ IDEA Community Edition on Linux: Step-by-Step Ubuntu Guide---
  • Configure IntelliJ IDEA for Python: Essential Setup for Windows, Mac, Linux---
  • Optimize IntelliJ IDEA: Customize Settings for Enhanced Python Development---
#3Python Fundamentals: Your First Steps into Coding
  • Introduction to Python: What is Python and Why Learn It?---
  • Creating Your First Python Program: The Classic "Hello World" Example---
  • Mastering the Print Function in Python: Outputting Text and Calculations---
  • Working with Strings in Python: Concatenation, Quotes, and Input---
  • Escape Characters in Python Strings: Newlines, Tabs, and Quotes (\n, \t)---
  • Advanced String Manipulation: Handling Backslashes and Special Characters---
  • Understanding Variables and Data Types in Python: Int, String, and More---
  • Strong Typing in Python: Understanding Data Type Compatibility and Errors---
  • Exploring Python's Numeric Data Types: Int, Float, and Complex Numbers---
  • Performing Calculations in Python: Understanding Numeric Operators---
  • What are Expressions in Python? Understanding Calculations and Values---
  • Mastering Operator Precedence and Understanding Order of Operations in Python---
  • Comprehensive Guide to the str String Data Type: Sequence of Characters in Python---
  • Unlocking Negative Indexing: Accessing String Characters from the End in Python---
  • String Slicing: Extracting Substrings with Start, Stop, and Step Values in Python---
  • Advanced String Slicing: How to Effectively Use Negative Numbers in Python Code---
  • Mastering Step Slicing: Extracting Characters with Intervals from Python Strings---
  • Backwards Slicing Techniques: Using Negative Steps to Reverse Python Strings---
  • Solving the Slicing Challenge Plus Common Python Slicing Idioms Explained---
  • Understanding String Operators: Concatenation, Multiplication, and 'in' in Python---
  • Mastering String Replacement Fields: Enhancing Output with .format() in Python 3---
  • Advanced String Formatting: Controlling Field Width, Alignment, and Precision---
  • Exploring Python 3.6 f-strings: A Modern Approach to String Formatting---
  • Understanding Python 2 String Interpolation: Legacy String Formatting Techniques---
  • Recap of Python Fundamentals: Key Concepts from the Stepping into Python Section---
#4Mastering Python Program Flow Control Techniques
  • Getting Started with Code Blocks and Understanding Python Statements---
  • Mastering if Statements: Controlling Program Flow with Conditional Logic---
  • Enhancing Conditional Logic: Using elif for Multiple Condition Checks in Python---
  • Leveraging the Debugger in IntelliJ or PyCharm for Efficient Python Code---
  • Building a Simple Guessing Game: Practicing if, elif, and else in Python---
  • Debugging the Guessing Game: Step-by-Step Execution with if, elif, and else---
  • Enhancing the Guessing Game: Implementing Logic for a Second Guess in Python---
  • Conditional Operators: Comprehensive Guide to 'less than', 'equal to' in Python---
  • Rewriting the Guessing Game: Optimizing Conditional Checks in Python Code---
  • Mastering Complex Conditions: How to Effectively Use 'and', 'or' in Python---
  • Understanding and Implementing Chained Comparisons---
  • Understanding Boolean Expressions and the Concepts of True and False in Python---
  • Exploring Truthy and Falsy Values in Python: Beyond Boolean True and False---
  • Using 'in' and 'not in' Operators for Efficient Python String Searching---
  • Practical Python: 'If' Conditionals Challenge for Real-World Scenarios---
  • 'If' Challenge Solution: Mastering Conditional Logic in Python Programs---
  • Python For Loops Explained: Iterating Through Sequences and Strings---
  • Debugging Python For Loops: Step-by-Step Execution and Variable Inspection---
  • Extracting User Input Values with For Loops: A Practical Python Example---
  • Python Range Objects: Efficient Iteration with Start, Stop, and Step Values---
  • Advanced Range Techniques: Mastering Start, Stop, and Step in Python Loops---
  • Nested For Loops in Python: Constructing Complex Iterative Structures---
  • Controlling Loop Flow: The 'continue' Statement in Python For Loops---
  • Terminating Loops: Using the 'break' Statement in Python For Loops---
  • Variable Initialization and None in Python: Best Practices and Explanation---
  • Controlling Program Execution: Understanding While Loops in Python---
  • Advanced While Loop Techniques: Practical Applications and Considerations---
  • Python While Loops: Using 'break' to Control Loop Termination Effectively---
  • Generating Random Numbers in Python: Exploring the 'random' Module and Import---
  • While Loop Challenge Solution: Building an Interactive Guessing Game in Python---
  • Binary Search Algorithm Explained: Efficient Number Guessing in Python---
  • Implementing a High-Low Guessing Game: A Practical Python Project---
  • Completing the Hi-Lo Game: 'pass' Statement and Python Code Structure---
  • Thoroughly Testing the Hi-Lo Game: Ensuring Robustness and Correctness---
  • Python Augmented Assignment: Efficient In-Place Operations Explained---
  • PEP 8: Adhering to the Python Style Guide for Readable and Maintainable Code---
  • Refactoring Python Code: Improving Structure and Readability Safely---
  • Python Loop Control: Mastering the ELSE Clause in FOR Loops---
  • Mastering 'else' in Python Loops: Hi-Lo Game Enhancement---
  • Debugging in PyCharm & IntelliJ: Conditional Breakpoints---
  • Practical Python: Using 'else' with Loops in Game Development---
  • Python Flow Control Mastery: Section Review and Coding Task---
  • Solving the Python Menu Challenge: Step-by-Step Code Solution---
  • Optimizing Python Code: Menu Challenge Refactoring Solution---
  • Advanced Python Loop Control: Replacing 'while True'---
#5Lists and Tuples: Python's Versatile Data Structures
  • Sequence Types in Python: Lists, Tuples, and Ranges---
  • Python Lists: Creating, Indexing, and Slicing Lists---
  • Understanding Immutable Objects in Python: Int, Float, Boolean---
  • Python Mutable Objects: Lists, Dictionaries, and Sets---
  • List Aliasing: Multiple Names for the Same Python List---
  • Python Sequence Operations: Min, Max, Len, and Count---
  • Python Mutable Sequence Operations: Append and More---
  • Adding Items to a List with Append: Python By Example---
  • Python Coding Challenge Solution: Adding Menu Options---
  • Python List Iteration: Efficient Looping with Enumerate---
  • Mastering Python's Enumerate Function: Indexes and Values---
  • Python Code Refactoring: Dynamic Menu with List Comprehension---
  • Python List Manipulation: Removing Items with .remove()---
  • Mastering List Sorting in Python: Sort() vs. Sorted()---
  • Python's Built-in Functions: A Comprehensive Overview---
  • Python List Sorting: Mastering the sorted() Function---
  • Case-Insensitive String Sorting in Python: str.casefold()---
  • Creating Python Lists: Literals, Concatenation, and More---
  • Python List Slicing: Replacing Subsets of List Elements---
  • Python List Modification: Safely Deleting Items---
  • Removing List Values Safely: Handling Ordered Data---
  • Python List Processing: Removing High Values Efficiently---
  • Python Testing Best Practices: Edge Cases and Corner Cases---
  • Thorough Python Code Testing: A Practical Demonstration---
  • Reverse Iteration: Removing List Items from the End---
  • Reverse Iteration in Python: Using the reversed() Function---
  • Algorithm Performance in Python: Comparing Deletion Methods---
  • Python Lists: Quick Recap of Key Concepts and Techniques---
  • Nested Lists in Python: Structure, Access, and PEP 8 Style---
  • Processing Nested Lists in Python: A Practical Example---
  • Python Challenge Solution: Removing 'spam' from Nested Lists---
  • Python Function Signatures: Understanding Parameters---
  • Python's print() Function Revisited: sep and end---
  • String Manipulation in Python: The join() Method---
  • String Manipulation in Python: The split() Method---
  • Converting Strings to Integers in Python: Mini-Challenge Solution---
  • Introduction to Tuples: Python's Immutable Sequences---
  • Understanding Immutability: Working with Python Tuples---
  • Tuple Unpacking in Python: Assigning Multiple Variables---
  • Practical Tuple Unpacking: Real-World Python Examples---
  • More on Unpacking in Python: Sequences and Variables---
  • Nested Data Structures: Combining Tuples and Lists in Python---
  • Python Tuple Unpacking Challenge: Efficient Code Solution---
  • Delving into Nested Structures: Practical Tuple Applications---
  • Mastering Complex Data: A Comprehensive Guide to Nested Structures---
  • Advanced Python List Navigation: Mastering Multi-Level Indexing---
  • Jukebox Project Preview: Interactive Menu System in Python---
  • Project Setup: Importing Data and Managing Dependencies in Python---
  • Building the Jukebox: Dynamic Menu Creation and User Input Handling---
  • Understanding Constants in Python: Best Practices for Code Clarity---
  • Completing the Python Jukebox: Song Selection and Playback Logic---
  • Enhance Jukebox: Navigating Back to Main Menu Without Song Selection---
  • Jukebox Challenge Resolved: Enabling Seamless Menu Navigation---
  • Lists, Tuples, and Jukebox: Key Takeaways from the Section---
#6Functions Introduction: Understanding and Using Functions
  • Getting Started with Functions: A Practical Overview---
  • Constructing Custom Functions: Syntax, Structure, and Return Values---
  • Analyzing Program Execution: Function Calls and Debugging Techniques---
  • Function Parameters and Arguments: Passing Data and Understanding Scope---
  • Debugging Parameterized Functions: Step-by-Step Execution Analysis---
  • Creating a Palindrome Checker: Function Design and String Manipulation---
  • Palindrome Challenge: Enhancing Case-Insensitive String Comparison---
  • Sentence Palindrome Challenge: Handling Punctuation and Spaces---
  • Advanced Function Design: Calling Functions Within Functions---
  • Return Values in Python: Explicit and Implicit Function Outputs---
  • get_integer Input Validation: Error Handling and User Messaging---
  • Understanding None: Python's Default Return Value for Functions---
  • Designing Action-Oriented Functions: Banner Printing Example---
  • Exception Handling: Managing Invalid Arguments with ValueError---
  • Function Parameter Customization: Setting Width for Enhanced Flexibility---
  • Enhancing Function Usability: Implementing Default Parameter Values---
  • Improving Function Calls with Keyword Arguments for Clarity---
  • Documenting Functions: Creating Clear and Informative Docstrings---
  • Generating Function Documentation: Writing and Using Docstrings---
  • Docstring Best Practices and Tools: Achieving Professional Code Quality---
  • Docstring Challenge: Solutions and Best Practices for Documentation---
  • Introduction to Fibonacci Numbers: Mathematical Concepts and Sequences---
  • Implementing a Fibonacci Sequence Generator: A Practical Function Example---
  • Type Hints and Annotations: Enhancing Code Readability and Clarity---
  • Combining Annotations and Default Values in Python Function Parameters---
  • Documenting the banner_text Function: A Comprehensive Docstring Example---
  • Historical Context: Teletypewriters, ANSI Escape Codes, and Terminals---
  • Enhancing Terminal Output: Implementing Text Coloring and Effects---
  • Testing Python Programs: Simulating User Execution Environments---
  • Installing the Colorama Package---
  • Step-by-Step Guide to Activating a Virtual Environment in Python---
  • Creating Automated Tests for the HiLo Game Using Python Functions---
  • Analyzing Binary Search Efficiency: Counting Correct Guesses in HiLo---
  • Building an Interactive Fizz Buzz Game: Player vs Computer in Python---
  • Developing a Complete Fizz Buzz Game: Solution and Implementation Details---
  • Mastering Variable Arguments in Python: A Deep Dive into *args Unpacking---
  • Enhancing the colour_print Function with Multiple ANSI Escape Sequences---
  • Understanding Python Function Parameters: Ordering and Usage Rules---
  • Practical Application of Python Parameter Types: A Hands-On Example---
  • Comprehensive Summary of Python Functions: Key Concepts and Best---
#7Mastering Dictionaries and Sets in Python
  • Introduction to Python Dictionaries and Sets: Core Data Structures---
  • Python Dictionary Fundamentals: Understanding Key-Value Data Storage---
  • Iterating Over Dictionaries in Python: Keys, Values, and Items Method---
  • Adding Items to a Dictionary in Python: Modifying Dictionary Contents---
  • Modifying Dictionary Values in Python: Updating and Replacing Entries---
  • Deleting Dictionary Items in Python: Using del and pop Methods---
  • Efficiently Using in with Python Dictionaries: Checking for Key Existence---
  • Solution: Building a Menu System with Python Dictionaries (Challenge)---
  • Integrating Lists and Dictionaries in Python: A Practical Example---
  • Enhancing the Computer Builder: Adding Dictionary Item Functionality---
  • Creating a Smart Fridge Application: Leveraging Multiple Dictionaries---
  • Meal Planner in Python: Displaying and Selecting Recipes from a Dictionary---
  • Combining Python Dictionaries: Accessing Nested Data Structures---
  • Pantry Check: Validating Recipe Ingredients Against Available Stock---
  • Recipe Data Structures: Dictionaries vs. Tuples for Quantity Tracking---
  • Implementing Quantity Checks in Python Dictionaries for Inventory Management---
  • Enhancing the Meal Planner: Building a Dynamic Shopping List (Challenge)---
  • Refactoring Code: Adapting to Data Structure Changes in Python Programs---
  • Optimizing Dictionary Updates: Introducing the setdefault Method in Python---
  • Integrating External APIs: A Practical Mobile Phone Data Synchronization Demo---
  • Exploring the Python dict API: A Comprehensive Documentation Overview---
  • Remaining Dictionary Methods: fromkeys, keys, and values in Python---
  • Dictionary Manipulation: Utilizing the update Method for Efficient Merging---
  • Working with Dictionary Views: Accessing Dynamic Values using values Method---
  • Understanding References and Mutable Objects in Python Dictionaries---
  • Step-by-Step Demonstration of Shallow Copying in Python Dictionaries---
  • Illustrating Shallow Copy: A Detailed Walkthrough of Dictionary References---
  • Contrasting Deep and Shallow Copies: Implications for Mutable Dictionary Values---
  • Implementing a Custom Deep Copy Function for Python Dictionaries (Challenge)---
  • Understanding Hash Functions and Hash Values in Python---
  • Implementing a Basic Hashing Function: A Practical Example---
  • Practical Implementation of Hash Tables in Python Explained---
  • Creating a Simple Dictionary: Hash Table Implementation---
  • Securing Data: Exploring Hash Functions in Cybersecurity---
  • Python's hashlib Module: Secure Hashes and Message Digests---
  • Introduction to Sets: Unordered Collections of Unique Items---
  • Working with Python Sets: Basic Operations and Examples---
  • Unordered Nature of Sets: Implications and Considerations---
  • Efficient Membership Testing: Leveraging Python Sets---
  • Optimizing Code with Sets: Fast Membership Testing---
  • Modifying Sets in Python: Adding Items with the add() Method---
  • Removing Duplicates from Data: Leveraging the Power of Python Sets---
  • Removing Elements: Comprehensive Guide to Python's Set Methods---
  • Safely Removing Items from Sets: Mastering Python's discard Method---
  • Efficient Set Modification: Mastering the remove Method---
  • Arbitrary Element Removal: Understanding pop in Python Sets---
  • Combining Sets: Comprehensive Guide to Set Union in Python---
  • Real-World Applications: Implementing Set Union in Python---
  • Modifying Sets Efficiently: Using the Union Update Method---
  • Methods Versus Operators: Advantages of Methods with Iterables---
  • Finding Common Elements: Mastering Set Intersection in Python---
  • Identifying Overlapping Data: Practical Use of Set Intersection---
  • Exclusive Elements: Understanding Set Difference in Python---
  • Practical Set Operations: Applying Set Difference in Real Scenarios---
  • Unique Elements Combined: Exploring Set Symmetric Difference---
  • Exploring Relationships: Subsets and Supersets in Python Sets---
  • Checking Set Relationships: Implementing Subset and Superset---
  • Python Sets: Select Job Candidates with Superset and Proper Superset---
  • Python Dictionary & Set Mastery: Comprehensive Review and Recap---
#8Mastering Input and Output: Reading and Writing Files with Python Code
  • Python Input and Output (I/O) Fundamentals: An Introductory Overview---
  • Understanding Computer File Systems: Files, Directories, and Paths---
  • Command Line Navigation: Mastering the Terminal or Command Prompt---
  • Demystifying File Paths: Absolute vs. Relative and Cross-Platform---
  • Defining and Working with Text Files: Formats, Uses and Examples---
  • Reading Data from Text Files: A Comprehensive Python Approach---
  • Python's with Statement: Simplifying File Handling for Beginners---
  • Python's with Statement: Simplifying File Handling for Beginners---
  • Mastering Python's String strip Methods: strip, lstrip, rstrip---
  • String Manipulation: Using removeprefix and removesuffix (Python 3.9+)---
  • Parsing Text File Data: A Step-by-Step Guide for Python Developers---
  • Efficient Text Data Handling: Organizing and Structuring Information---
  • Challenge Solution: Retrieving and Displaying a Country's Capital City---
  • Efficient Data Retrieval: Implementing Multiple Keys for Dictionary Values---
  • Writing to Text Files: A Comprehensive Guide to Printing Output Data---
  • File Handling in Python: Writing Text Data Using the write Method---
  • Understanding Python File Modes: r, w, x, a, r+, and w+---
  • A Deep Dive into Character Encodings: ASCII, EBCDIC and Unicode---
  • Working with Unicode Strings and Encodings in Python (UTF-8)---
  • Identifying and Handling File Encodings in Python: A Practical Guide---
  • Data Serialization with JSON: Encoding and Decoding in Python---
  • Understanding JSON Data Types and Limitations in Python Serialization---
  • Parsing Real-World JSON Data from a File: A Temperature Anomaly Example---
  • Downloading and Parsing JSON Data from the Internet Using Python---
  • Introduction to the CSV File Format: Structure, Uses, and Standards---
  • Efficient CSV Data Handling: Reading and Parsing with Python's CSV Module---
  • Mastering CSV Quoting: Handling Special Characters and Data Types in Python---
  • Understanding and Utilizing CSV Dialects and Sniffer in Python---
  • Exploring the CSV Dialect Object and Its Attributes in Python---
  • Writing Data to CSV Files with Python's CSV Module: A Practical Guide---
  • Parsing CSV Data into Dictionaries Using Python's csv.DictReader---
  • Challenge Solution: Building a Country Data Dictionary with DictReader---
  • Controlling CSV Parsing with Custom Fieldnames and Dialects in Python---
  • Reading and Writing to Multiple Files Simultaneously in Python---
  • Creating CSV Files with Python's csv.DictWriter: A Step-by-Step Guide---
  • Transforming Data with Python: Leveraging the zip Function---
  • Simultaneous Read/Write Operations on Text Files: Techniques & Cautions---
  • Challenge Solution: Implementing Invoice Number Parsing and Generation---
  • Implementing the record_invoice Function: Reading, Writing, File Pointers---
  • Enhancing File Handling: Utilizing seek and tell for Efficient Access---
  • Mastering seek and tell for File Pointer Manipulation in Python---
  • Optimizing File Operations: Improving the record_invoice Function---
  • Working with Text Files: Python's TextIO and Key Concepts Summarized---
  • Introduction to Binary Files in Python: Understanding bytes and bytearray---
  • Hands-On Binary File Handling: Reading and Inverting a Bitmap Image---
  • Understanding Big Endian and Little Endian Byte Order in Computer Systems---
  • Decoding Binary Data: Extracting and Interpreting Bitmap File Information---
  • Extract, Read, and Modify Metadata: Comprehensive MP3 ID3 Tag Management---
  • Deep Dive into MP3 Metadata: Navigating and Using the ID3v2 Specification---
  • Hands-On Python: Decoding and Extracting Data from Binary MP3 ID3 Frames---
  • Complete Python Code Implementation for Reading and Writing MP3 ID3 Tags---
  • Mastering Image Extraction: A Step-by-Step Guide to Decoding MP3 APIC Frames---
  • Validate Your Code: Step-by-Step Testing of the read_id3 Program in Python---
  • Secure Your Downloads: Verify File Integrity with SHA-256 Hash Checksums---
  • Binary File Handling in Python: The Ultimate, Comprehensive, Practical Guide---
#9Modules, Functions, and Advanced Function Concepts in Python
  • Introduction to Python Modules, Functions, and Section Overview---
  • Exploring Turtle Graphics: Drawing Shapes and Patterns with Turtle Module---
  • Targeted Imports: Importing Specific Functions and Objects from Modules---
  • Understanding Python Namespaces: Global Scope and Variable Visibility---
  • Mastering Local Scope: Understanding Variables within Functions---
  • Exploring the Builtins Namespace: Accessing Python's Built-in Functions---
  • Deep Dive into Nested Functions: Understanding Function Definitions---
  • Understanding Enclosing Scope in Python: Accessing Outer Function Variables---
  • Free Variables and Namespace Optimization in Python: Behind the Scenes---
  • Modifying Free Variables: Understanding Variable Binding in Inner Scopes---
  • Namespace Dictionaries and Free Variable Behavior: An In-Depth Look---
  • Using the nonlocal Keyword: Modifying Variables in Enclosing Scopes---
  • Mastering the global Keyword: Modifying Global Variables from Inner Scopes---
  • Import Mechanisms and Global Namespace: Memory Usage and Optimization---
  • Iterating Over the Globals Dictionary: Copying for Safe Modification---
  • Understanding the Risks and Uses of 'import *' in Python Modules---
  • Controlling Module Execution Using 'if __name__ == '__main__':'---
  • Optimizing Python Code: Local Namespace Lookup for Functions---
  • Launching Web Pages: Utilizing the Python 'webbrowser' Module---
#10Comprehensive Date and Time Handling in Python
  • Introduction to Handling Dates and Times in Python Programming---
  • Mastering the datetime Module's Date Class: Formatting and Usage---
  • Using Timedelta Objects for Date and Time Calculations in Python---
  • Understanding the Time Class in Python's Datetime Module---
  • Deep Dive into Python's Datetime.Date, with Import Clarifications---
  • Navigating Aware and Naive Datetime Objects in Python Development---
  • Installing and Using the Zoneinfo Backport for Timezone Management---
  • Creating and Utilizing Timezone Objects in Python Applications---
  • Step-by-Step Solution for the Timezone Challenge in Python Coding---
  • Addressing Unexpected Daylight Saving Time Behavior in Python---
  • Best Practices for Datetime Arithmetic: Prioritizing UTC Operations---
#11Getting Started with GUI Programming using Tkinter in Python
  • Course Enhancements: An Overview of the Section Remastering---
  • An Introduction to the Tkinter Module for GUI Development---
  • Introduction to the TkInter Pack Geometry Manager for Widget Layout---
  • Introduction to Using the TkInter Grid Geometry Manager in Python---
  • Building an Advanced GUI: A Step-by-Step Example - Part 1---
  • Building an Advanced GUI: A Step-by-Step Example - Part 2---
  • Completing the Advanced GUI: A Step-by-Step Guide - Part 3---
  • Developing a Simple Calculator GUI Layout: A Tkinter Challenge---
  • Introduction to Writing and Using Functions in Python Programming---
  • Exploring Python Functions Further: Variable Arguments, Default Values---
  • Python Functions Continued: Enhancements and File Output---
  • Creating a Parabola Drawing Function: Expanding Function Knowledge---
  • Variable Scope in Python Functions: Best Practices and Common Pitfalls---
  • Refining Drawing Function and Introducing Circles---
  • Improving Circle Drawing and a New Coding Challenge for Practice---
  • Setting Up the Basic Structure of the Blackjack Game in Tkinter---
  • Implementing Card Loading Functionality for the Blackjack Game---
  • Implementing the Card Dealing Mechanism in the Blackjack Game---
  • Understanding and Correctly Using Global Variables in Python---
  • Mastering the Global Keyword for Variable Scope in Python Functions---
  • Completing the Game Logic: Testing the Blackjack Card Game---
  • Adding a New Game Feature: Tkinter Coding Challenge---
  • Underscores in Python, import, and Name Space---
  • Understanding Scope in Python Functions, LEGB, and Nonlocal Keyword---
  • Exploring Function Nesting, Recursion and LEGB Rules---
  • Using Recursion with the OS and non local Module---
  • Non local keyword, and Understanding LEGB in Python---
#12Mastering Object-Oriented Programming in Python
  • Introduction to Python OOP: Classes, Objects, and Programming Paradigms---
  • Python Class Instances: Constructors, Self Parameter, and Object Attributes---
  • Python Class Attributes: Shared Variables and Namespace Exploration---
  • Python Methods Part 1: Encapsulation and Bank Account Class Example---
  • Python Methods Part 2: Transaction Logs, Static Methods, and Class Design---
  • Python Non-Public Attributes, Name Mangling, and Underscore Conventions---
  • Python Docstrings: Usage, Raw Literals, and Documentation Best Practices---
  • Python Album Class: Combining Classes and Docstring Implementation---
  • Python Artist Class: Importing Albums and Handling Class Relationships---
  • Implementing the Revised Load_Data Algorithm in Python: A Step-by-Step Guide---
  • Mastering File Comparison Techniques and Algorithm Flowcharts in Python---
  • Implementing Revised Load_Data Algorithm: A Deep Dive into Python Functions---
  • Exploring Object-Oriented Programming: A Practical Python Example---
  • Program Getters and Properties---
  • Remove Circular References Challenge---
  • Python Object-Oriented Programming: Understanding and Using Getters and Setters---
  • Python OOP Deep Dive: Instance Variables, Class Attributes, and Properties---
  • Python Properties: Alternative Syntax and Decorators for Getters and Setters---
  • Mastering Inheritance in Object-Oriented Python: Creating and Extending Classes---
  • Python Subclassing: Extending Classes, Overriding, and Calling Super Methods---
  • Python Inheritance: Calling Superclass Methods to Extend Subclass Functionality---
  • Overriding Methods in Python: Changing Superclass Behavior in Subclasses---
  • Python OOP: Overriding Methods to Customize Subclass Functionality in Detail---
  • Practical Inheritance Challenge: Building a Vampire King Subclass in Python---
  • Polymorphism in Python: Understanding Dynamic Typing and Object Behavior---
  • Python's Duck Typing: Polymorphism Without Strict Inheritance Explained---
  • Mastering Composition in Python: Building Complex Objects from Simpler Classes---
  • HTML Document Creation with Composition: Building Complex Structures in Python---
  • Python OOP: Implementing and Testing the HTML Document and Final Challenge---
  • Aggregation in Python OOP: A Weaker Form of Composition Explained and Applied---
#13Mastering Database Integration in Python with SQLite3: A Comprehensive Guide
  • Database Essentials: An In-Depth Introduction to Database Systems and SQL---
  • Relational Database Terminology: Tables, Fields, Rows, Joins, and Normalization---
  • Installing the SQLite3 Command Line Shell Interface (CLI) on Windows Systems---
  • Getting Started with SQLite3: Installation Guide for Mac Operating Systems---
  • Ubuntu Linux: Installing and Configuring the SQLite3 Command Line Tools---
  • SQLite3 Interactive Tutorial: Creating Databases, Tables and Inserting Data---
  • Advanced SQLite3 Data Manipulation: Comprehensive Guide to Updating and Deleting---
  • Mastering Data Retrieval: Advanced Querying Techniques in SQLite3 Database---
  • Sorting Data with 'ORDER BY' and Linking Tables with 'JOIN' Clauses in SQLite---
  • Advanced SQL: Creating More Complex Joins in Relational Databases using SQLite---
  • Mastering Wildcards, LIKE Operator, and Views for Efficient SQLite3 Queries---
  • SQLite3 Database Maintenance: Backup, Restore, and Advanced Query Challenges---
  • Integrating Databases with Python: Leveraging the SQLite3 Module for Data---
  • Python Database Programming: Understanding Connections, Cursors, Transactions---
  • Python Database Security: Understanding and Preventing SQL Injection Attacks---
  • Enhancing Database Interactions with Placeholders and Parameter Substitution---
  • Python Exception Handling: Mastering Try, Except, Else, and Finally Blocks---
  • Python Exception Handling Challenge: Interactive Integer Division Program---
  • Advanced Exception Handling in Python: Best Practices and Considerations---
  • Preventing SQL Injection Attacks: Python Database Security Best Practices---
  • Understanding Python Stack Trace for Effective Debugging and Error Analysis---
  • Creating Custom Exceptions in Python: Enhancing Code Robustness & Clarity---
  • Implementing Transaction Rollback for Data Integrity in Python Database Apps---
  • Integrating Database Operations into Python Classes: A Practical Example---
  • GUI Database Editors: An Overview of Tools for Enhanced Database Management---
  • Mastering the IntelliJ IDEA Ultimate Edition Database Tool for Python Devs---
  • Troubleshooting Common Issues with the Community Edition Database Plugin---
  • Reminder Use Python datetime.timezone Instead of pytz for Concrete Timezones---
  • Enhancing the Account Class: Integrating Database Updates for Deposits/Withdrawal---
  • Mastering Timezones: Displaying Local and UTC Times from SQLite Databases---
  • Mastering SQLite Date and Time: strftime() for UTC Conversion in Queries---
  • Challenge: Store and Retrieve Original Timezone Data in SQLite with Python---
  • SQLite Timezone Challenges: Understanding and Avoiding Common Pitfalls---
  • Database Transactions: Implementing Rollback for Data Integrity in Python---
  • Building a Simple SQLite Database Browser with Python and Tkinter---
  • Enhancing Your Database Browser: Adding Scrollbars to Tkinter Listboxes---
  • Understanding Python's Star Args (args) for Flexible Function Parameters---
  • Keyword Arguments Deep Dive: Mastering Python's kwargs for Flexibility---
  • Refining Keyword Argument Handling in Python: Addressing Potential Conflicts---
  • Creating a Reusable Scrollable Listbox Class in Tkinter with Python---
  • Python and SQLite: Populating a Tkinter Listbox from a Database Query---
  • Linking DataListBoxes for Dynamic Updates in a Python Database Application---
  • Creating the DataListbox Class: A Reusable, Self-Populating Tkinter Widget---
  • Dynamically Linking Tkinter Listboxes for Enhanced Database-Driven Applications---
  • Finalising DataListbox: Linking DataListboxes for Dynamic Data Display---
  • Fixing Data Retrieval Bugs in Python Database ListBox Applications---
#14Generators, Lambdas, and Timeit Module for Performance
  • Advanced Python Features: Generators, Comprehensions, Lambdas Overview---
  • Python Generators, Yield Keyword, and Memory Optimization Techniques---
  • Mastering Python Generators: next() Function and Iteration Explained---
  • Practical Generator Examples: Fibonacci Sequence, Pi Calculation in Python---
  • Exploring File Systems with Python: Using the os.walk Generator---
  • Mastering File System Traversal: Advanced os.walk and fnmatch in Python---
  • Extracting Metadata: Reading MP3 ID3 Tags with Python Generators---
  • Demystifying Python List Comprehensions: Syntax, Usage, and Examples---
  • List Comprehensions vs. For Loops: Side Effects and Python Versions---
  • List Comprehension Challenge: Rewriting For Loops (Solution Included)---
  • Python Conditional Comprehensions: Filtering and If/Else Logic---
  • Advanced Conditional Expressions: FizzBuzz and Complex Filtering---
  • Python Comprehension Challenges: FizzBuzz, Locations, and Conversions---
  • Fizzbuzz List Comprehension: Step-by-Step Solution and Explanation---
  • Locations Challenge: List Comprehension to For Loop Conversion Guide---
  • Python Nested Comprehensions: Combining Lists and Iterations---
  • Python Nested Comprehensions Challenge: Times Tables Solution---
  • Measuring Python Code Performance with the timeit Module---
  • Advanced timeit Techniques: Setup Argument and Function Timing---
  • timeit Challenge: Measuring Factorial Function Performance---
  • timeit Module Challenge Solution and Explanation---
  • Introduction to the Python Map Function: Alternatives to Comprehensions---
  • Python Map Function Challenge and Solution: Hands-On Practice---
  • The Python Filter Function: Filtering Data with Functions and Comprehensions---
  • Understanding Python's reduce() Function: Examples and Alternatives---
  • Mastering any and all in Python: Combining with Comprehensions---
  • Understanding Python Named Tuples: Creation and Usage Guide---
  • Using any and all with Comprehensions - Code Examples---
  • Introduction to Lambda Expressions and Sorting with Key Functions---
  • Replacing Functions with Lambdas-Code Refactoring Examples---
  • Deep Dive into Lambda Expressions: Understanding Anonymous Functions in Python---
  • Mastering Python's Conditional Expressions: if/else in a Single Line of Code---
  • Practical Application: Writing Conditional Expressions - Challenge Exercise---
  • Combining Lambda Functions and Conditional Expressions for Efficient Sorting---
  • Building a Basic Calculator GUI in Tkinter: A Practical Use Case for Lambdas---
  • Addressing Lambda Limitations in Loops: Tkinter Calculator Button Commands---
  • Implementing Callbacks as Class Methods: State-Carrying Objects in Tkinter---
  • Subclassing Tkinter Frame for Custom Widgets: Creating a Reusable Component---
  • Security Risks of Using eval in Python: Demonstration and Explanation---
  • Mitigating Security Risks: How to Safely Use the eval Function in Python---
  • Improving Calculator Security: Preventing Arbitrary Code Execution in Tkinter---
  • Functions as First-Class Objects in Python: Practical Use in Dictionaries---
#15Comprehensive Guide to Big O Notation for Optimal Algorithm Efficiency
  • Demystifying Big O Notation: Understanding Algorithm Complexity in Detail---
  • Visualizing Algorithm Efficiency: Big O Notation Tables and Growth Charts---
  • Implementing Bubble Sort: A Practical Introduction to Sorting Algorithms---
  • Optimizing Bubble Sort: Reducing Comparisons for Improved Performance---
  • Understanding the Big O of Optimized Bubble Sort: A Deep Dive---
  • Further Optimizing Bubble Sort: Handling Nearly Sorted Data Efficiently---
  • Algorithm Performance: Analyzing Best, Worst, and Average Case Scenarios---
  • Big O Notation and Algorithm Optimization: A Comprehensive Summary---
#16Extra Information - Source code, and other stuff
  • Source code for all Programs---
#17Bonus - Including Slides
  • Bonus Downloads including slides---
  • Spacer---

  • Welcome to the Python Masterclass: Meet Your Expert Instructors

  • Course Enhancements: Updates, Larger Fonts, and Downloadable Slides

  • Optimizing Video Playback: Achieving Crisp 1080p Resolution on Udemy

  • Enhance Comprehension: Enabling and Using Hand-Edited English Subtitles

  • Mastering Python Support: Utilizing the Q&A for Effective Assistance

  • Maximize Learning: The Importance of Hands-On Coding and Source Code Access