Master the Basics of Python Programming: From Fundamentals to Real-World Applications
What you'll learn Week 1: Introduction to programming concepts, setting up your development environment, and writing your first Python program.
Week 2: Control structures, including conditional statements and loops, to help you understand the flow of a program.
Week 3: Functions, their definitions, and how to use them to write reusable and organized code.
Weeks 4 & 5: Data structures such as lists, tuples, sets, and dictionaries, essential for storing and manipulating data.
Week 6: Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism.
Week 7: Error handling and debugging techniques to identify and fix issues in your code.
Week 8: Working with files to read from and write to external files.
Week 9: Basic algorithms for sorting and searching, crucial for efficient problem-solving.
Week 10: Final project presentations, course recap, and resources for further learning.
Requirements All you need to get started is basic computer literacy.
This course assumes no prior programming experience, making it accessible and welcoming to all beginners.
Description Introduction to ProgrammingCourse Overview:This course is designed for beginners who have little to no prior programming experience. The objective is to introduce the fundamental concepts of programming, familiarize students with basic syntax and constructs, and build a solid foundation for further learning in computer science.Course Duration:10 weeks (2 hours per session, twice a week)Week 1: Introduction to Programming ConceptsSession 1:What is Programming?Definition and historyReal-world applicationsOverview of Programming LanguagesHigh-level vs. low-level languagesCompiled vs. interpreted languagesSetting Up the Development EnvironmentIntroduction to IDEs (Integrated Development Environments)Installing Python (chosen for its simplicity for beginners)Writing Your First Program: "Hello, World!"Basic syntaxRunning a programSession 2:Basic Data Types and VariablesIntegers, floats, strings, booleansDeclaring and using variablesBasic Input and OutputPrinting to the consoleReading input from the userPractice ExercisesWeek 2: Control StructuresSession 3:Conditional StatementsIf, else if, and elseNested conditionalsComparison OperatorsEqual to, not equal to, greater than, less than, etc.Session 4:LoopsFor loopsWhile loopsBreak and continue statementsPractice ExercisesWeek 3: FunctionsSession 5:Introduction to FunctionsDefinition and purposeFunction syntaxCalling functionsParameters and Return ValuesSession 6:Scope and Lifetime of VariablesLocal vs. global variablesRecursionPractice ExercisesWeek 4: Data StructuresSession 7:ListsCreating and accessing listsList methods (append, remove, etc.)Session 8:Tuples and SetsCharacteristics and usageBasic operationsWeek 5: Data Structures (Continued)Session 9:DictionariesKey-value pairsAccessing, adding, and removing itemsSession 10:Practice Problems involving Lists, Tuples, Sets, and DictionariesMid-Course Project AssignmentWeek 6: Object-Oriented Programming (OOP)Session 11:Introduction to OOP ConceptsClasses and objectsAttributes and methodsSession 12:Inheritance and PolymorphismEncapsulation and AbstractionPractice ExercisesWeek 7: Error Handling and DebuggingSession 13:Common Types of ErrorsSyntax errors, runtime errors, logical errorsDebugging TechniquesUsing print statementsIntroduction to debugging toolsSession 14:Exception HandlingTry, except, finallyRaising exceptionsPractice ExercisesWeek 8: Working with FilesSession 15:Reading from and Writing to FilesFile handling modes (read, write, append)Reading lines and entire filesSession 16:File Handling Best PracticesPractice ExercisesWeek 9: Basic Algorithms and Problem-SolvingSession 17:Introduction to AlgorithmsDefinition and examplesImportance of algorithms in programmingBasic Sorting AlgorithmsBubble sort, selection sortSession 18:Basic Search AlgorithmsLinear search, binary searchPractice ExercisesWeek 10: Final Project and ReviewSession 19:Review of Key ConceptsFinal Project Work SessionSession 20:Final Project PresentationsCourse Recap and Next StepsResources for further learningIntroduction to advanced topics (data structures, algorithms, web development, etc.)
Overview Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to Programming Concepts
Lecture 2 Introduction : Programming Concepts
Section 3: What is Programming?
Lecture 3 Programming: Definition and History
Lecture 4 Programming: Real-world Applications
Section 4: Overview of Programming Languages
Lecture 5 Programming Languages: High-level vs. Low-level Languages
Lecture 6 Programming Languages: Compiled vs. Interpreted Languages
Section 5: Setting Up the Development Environment
Lecture 7 Introduction to IDEs (Integrated Development Environments)
Lecture 8 Installing Python (chosen for its simplicity for beginners)
Section 6: Writing Your First Program: "Hello, World!"
Lecture 9 Writing Your First Program: "Hello, World!"
Lecture 10 Running a Program
Section 7: Basic Data Types and Variables
Lecture 11 Integers, floats, strings, booleans
Lecture 12 Basic Data Types and Variables: Declaring and Using Variables
Section 8: Basic Input and Output
Lecture 13 Basic Input and Output: Printing to the Console
Lecture 14 Basic Input and Output: Reading Input from the User
Lecture 15 Practice Exercises
Section 9: Control Structures
Lecture 16 Introduction : Control Structures
Section 10: Conditional Statements
Lecture 17 Conditional Statements: If, else if, and else
Lecture 18 Conditional Statements: Nested Conditionals
Section 11: Comparison Operators
Lecture 19 Comparison Operators
Section 12: Loops
Lecture 20 Loops: An Introduction
Section 13: Loops
Lecture 21 For Loops
Lecture 22 While Loops
Lecture 23 Loops, Break, and Continue Statements
Lecture 24 Loops - Practice Exercises
Section 14: Functions
Lecture 25 Introduction : Functions
Lecture 26 Functions: Definition and Purpose
Lecture 27 Functions: Function Syntax
Lecture 28 Functions and Calling Functions
Lecture 29 Parameters and Return Values
Section 15: Scope and Lifetime of Variables
Lecture 30 Introduction : Scope and Lifetime of Variables
Lecture 31 Scope and Lifetime of Variables: Local vs. Global Variables
Lecture 32 Recursion
Lecture 33 Practice Exercises for Programming Concepts
Section 16: Data Structures
Lecture 34 Introduction : Data Structures
Lecture 35 Lists in Programming
Lecture 36 Lists: Creating and Accessing Lists
Lecture 37 Lists and List Methods
Section 17: Tuples and Sets
Lecture 38 Introduction : Tuples and Sets
Lecture 39 Tuples and Sets: Characteristics and Usage
Lecture 40 Tuples and Sets: Basic Operations
Section 18: Dictionaries
Lecture 41 Introduction : Dictionaries
Lecture 42 Dictionaries: Key-Value Pairs
Lecture 43 Dictionaries: Accessing, Adding, and Removing Items
Lecture 44 Practice Problems involving Lists, Tuples, Sets, and Dictionaries
Lecture 45 Mid-Course Project Assignment
Section 19: Object-Oriented Programming (OOP)
Lecture 46 Introduction : Object-Oriented Programming (OOP)
Lecture 47 Introduction to Object-Oriented Programming (OOP) Concepts
Lecture 48 Introduction to OOP Concepts: Classes and Objects
Lecture 49 Introduction to OOP Concepts: Attributes and Methods
Lecture 50 Inheritance and Polymorphism
Lecture 51 Encapsulation and Abstraction
Lecture 52 Practice Exercises
Section 20: Error Handling and Debugging
Lecture 53 Introduction : Error Handling and Debugging
Lecture 54 Common Types of Errors in Programming
Lecture 55 Common Types of Errors in Programming : Syntax Errors, Runtime Errors
Lecture 56 Introduction : Debugging Techniques
Lecture 57 Debugging Techniques: Using Print Statements
Lecture 58 Debugging Techniques: Introduction to Debugging Tools
Section 21: Exception Handling
Lecture 59 Introduction : Exception Handling
Lecture 60 Exception Handling: Try, Except, Finally
Lecture 61 Exception Handling and Raising Exceptions
Section 22: Working with Files
Lecture 62 Introduction : Working with Files
Lecture 63 Introduction : Reading from and Writing to Files
Lecture 64 Reading from and Writing to Files
Lecture 65 Reading lines and entire files
Lecture 66 File Handling Best Practices
Section 23: Basic Algorithms and Problem-Solving
Lecture 67 Introduction : Basic Algorithms and Problem-Solving
Lecture 68 Introduction to Algorithms
Lecture 69 Introduction to Algorithms: Definition and Examples
Lecture 70 Introduction to Algorithms: Importance in Programming
Lecture 71 Introduction : Basic Sorting Algorithms
Lecture 72 Bubble Sort and Selection Sort
Section 24: Basic Search Algorithms
Lecture 73 Introduction : Basic Search Algorithms
Lecture 74 Linear Search and Binary Search
Section 25: Final Project and Review
Lecture 75 Review of Key Concepts
Lecture 76 Final Project Work Session
Lecture 77 Introduction to Advanced Programming Topics
Beginner in Programming Fundamentals