Master Python: From Beginner To Advanced Projects

Learn Python programming, build real-world projects, master OOP, SQL, and create professional documentation.

What you'll learn

Set up and use PyCharm IDE effectively to create, debug, and run Python projects.

Understand Python’s basic syntax, variables, loops, conditionals, and error handling.

Master essential Python data structures such as lists, tuples, dictionaries, and sets.

Write clean, maintainable code using PEP 8 guidelines and modular programming principles.

Use Google-style docstrings and Sphinx to create professional project documentation.

Build real-world projects like a fitness tracker and a dice game, showcasing modular design and reusability.

Understand object-oriented programming concepts, including inheritance, polymorphism, and encapsulation.

Work with relational databases by designing schemas, performing CRUD operations, and writing advanced SQL queries.

Use SQL transactions to ensure data consistency and integrity in database operations.

Visualize and design software systems using UML diagrams such as class, sequence, and activity diagrams.

Generate automated documentation for projects using Sphinx and manage its configuration.

Gain confidence in debugging code with breakpoints, step-throughs, and error identification techniques.

Handle user input safely and implement robust input validation in Python applications.

Learn advanced Python concepts such as magic methods, operator overloading, and decorators.

Develop skills to structure Python projects with modules, packages, and good design principles.

Requirements

No prior programming experience is needed—this course is designed for absolute beginners.

A computer with Windows, macOS, or Linux operating system.

An internet connection to download tools and follow along with the course.

A willingness to learn and explore Python programming step by step.

Description

Welcome to "Master Python: From Beginner to Advanced Projects"!This course is designed to take you from an absolute beginner to a proficient Python programmer. Whether you're just starting out in programming or looking to enhance your Python skills, this course will guide you through all the essential concepts and real-world applications.We start from the basics, covering Python syntax, data types, and foundational programming concepts, so even if you’ve never written a line of code before, you’ll feel comfortable right from the start. You'll learn how to work with variables, operators, and functions, as well as how to write clean, readable code. The course will also introduce you to Python’s built-in functions and modules, enabling you to handle a wide variety of tasks with ease.As you progress, we dive deeper into more advanced topics such as Object-Oriented Programming (OOP), which will teach you how to organize and structure your code effectively. You’ll also learn to interact with databases using SQL, create UML diagrams for software design, and write professional-grade documentation using Google-style docstrings.In addition to the core programming concepts, you’ll work on hands-on projects that will give you real-world experience. You will create a Fitness Tracker and a Dice Game, both of which will help you solidify your understanding by building fully functional applications. These projects will cover everything from setting up your development environment to writing the code and testing your program.This course also emphasizes best practices, such as adhering to the PEP 8 guidelines for writing clean, maintainable code, and learning how to document your work effectively. You'll also explore automated documentation generation using tools like Sphinx to create professional-level project documentation.Key features of this course include:Beginner-friendly content that assumes no prior programming experience.Hands-on projects that cover both simple and advanced Python applications.Clear explanations of fundamental programming concepts and advanced techniques.Best practices and industry standards to make sure your code is clean, efficient, and maintainable.Real-world applications like a fitness tracker and a dice game.In-depth coverage of Object-Oriented Programming (OOP) and relational databases with SQL.By the end of this course, you will be able to confidently tackle Python programming tasks, build functional applications, and work with databases and OOP. You’ll also know how to write clean code, document your projects, and implement key programming concepts in your day-to-day work.

Overview

Section 1: Getting Started with PyCharm IDE

Lecture 1 Installing PyCharm on Windows

Lecture 2 Setting Up Your First Project in PyCharm

Lecture 3 Creating and Running Your First Python File

Lecture 4 Mastering Debug Mode: Breakpoints, Step Over, and Step Into

Section 2: Essential Programming Concepts in Python

Lecture 5 Basic Python Syntax: Your First Steps in Programming

Lecture 6 Python Numbers and Math Operators: A Beginner’s Guide

Lecture 7 Working with Strings: Variables, Operators, and Practical Use

Lecture 8 How to Declare and Use Functions in Python

Lecture 9 Exploring Python’s Built-In Math Functions

Lecture 10 Essential Python String Functions for Everyday Use

Lecture 11 Understanding Boolean Variables and Boolean Logic in Python

Lecture 12 Mastering If, Else, and Elif: Making Decisions in Python Code

Lecture 13 How to Compare Strings with Python’s Operators

Lecture 14 Python Loops 101: For, While, Range, Break, and Continue Explained

Lecture 15 How to Import and Use Modules and Libraries in Python

Lecture 16 Understanding Lexical Scope (Static Scope) in Python

Lecture 17 Introduction to Python Data Structures: Lists, Tuples, Dictionaries, and Sets

Lecture 18 Type Conversion in Python: Implicit vs Explicit

Lecture 19 Common Python Errors and How to Handle Them with Try-Except

Lecture 20 Getting User Input in Python: A Complete Guide

Section 3: Code Quality and Best Practices in Python

Lecture 21 Writing Clean Code: Adhering to Python's Official Style (PEP 8)

Lecture 22 Modular Design in Python: Using Modules and Packages Effectively

Lecture 23 Mastering Documentation: Writing Docstrings and Comments

Lecture 24 Best Practices for Python Comments and Documentation

Lecture 25 Getting Started with Google Style Docstrings in Python

Lecture 26 Mastering Google Style Docstrings for Python

Lecture 27 Automatically Generating Documentation with Pydoc and Sphinx

Lecture 28 Configuring Sphinx: Editing the conf.py File for Your Project

Lecture 29 Automatically Generate Project Documentation Using Sphinx

Section 4: Project #1: Simple Fitness Tracker

Lecture 30 Creating the Fitness Tracker Project in PyCharm

Lecture 31 Creating the Main Files and Functions of the Project

Lecture 32 Implementing the Main Loop of the Fitness Tracker Project

Lecture 33 Finishing the Main File of the Project

Lecture 34 Implementing the Input Validation Module

Lecture 35 Finishing the Input Validation Module

Lecture 36 Implementing the Exercise Module

Lecture 37 Finishing the Exercise Module Implementation

Lecture 38 Testing the Fitness Tracker Program

Lecture 39 Documenting the Project with Google-Style Docstrings and Installing Sphinx

Lecture 40 Generating Documentation Automatically Using Sphinx

Section 5: Project #2: Simple Dice Game

Lecture 41 Setting Up the Dice Game Project in PyCharm

Lecture 42 Creating the Game State Dictionary in the Dice Game Module

Lecture 43 Implementing the Display Module's display_scores Function

Lecture 44 Finishing the Implementation of the Display Module

Lecture 45 Creating the Game Logic Module’s get_player_choice Function

Lecture 46 Building the Game Logic Module’s player_holds Function

Lecture 47 Writing the Dice Module's roll_dice and roll_and_display_dice Functions

Lecture 48 Implementing the Dice Module's is_double Function

Lecture 49 Creating the Game Logic Module’s play_turn Function

Lecture 50 Adding the execute_turn Function in the Dice Game Module

Section 6: Object-Oriented Programming Basics

Lecture 51 Introduction to Object-Oriented Programming (OOP)

Lecture 52 Understanding Classes, Objects, Attributes, and Methods

Lecture 53 Mastering Inheritance in Python

Lecture 54 Encapsulation: Hiding Data for Better Code Organization

Lecture 55 Polymorphism: Flexible Code with Dynamic Behavior

Lecture 56 Abstract Classes, Interfaces, and Composition in Python

Lecture 57 Magic Methods, Operator Overloading, and Decorators

Section 7: UML Basics

Lecture 58 Introduction to UML Diagrams

Lecture 59 Types of UML Diagrams and Their Use Cases

Lecture 60 Understanding UML Class Diagrams

Lecture 61 Creating UML Use Case Diagrams

Lecture 62 Exploring UML Sequence Diagrams

Lecture 63 Modeling Workflows with UML Activity Diagrams

Lecture 64 UML State Diagrams: Representing Object States

Section 8: Relational Databases

Lecture 65 Introduction to Relational Databases

Lecture 66 Data Types in Relational Databases

Lecture 67 Understanding Table Schema

Lecture 68 SQL Syntax Basics: Writing Your First Queries

Lecture 69 CRUD Basics: The Four Core Operations

Lecture 70 Creating New Records in SQL

Lecture 71 Reading Existing Records in SQL

Lecture 72 Updating Existing Records in SQL

Lecture 73 Deleting Existing Records in SQL

Lecture 74 Advanced SELECT: JOINs, Aggregate Functions, GROUP BY, and HAVING

Lecture 75 SQL Transactions: Ensuring Data Integrity

Absolute Beginners: Individuals with no prior programming experience who want to start learning Python.,Aspiring Developers: Students or professionals looking to build a strong foundation in Python for software development.,Career Changers: People transitioning into tech who want to learn a versatile and in-demand programming language.,Hobbyists: Anyone interested in learning Python for personal projects, automation, or fun.,Students: Those studying programming or computer science and looking for additional resources to improve their Python skills.