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Micro Learning | Python Basic course with Practice (30 days)

سرفصل های دوره

Python Simplified: A Month of Micro Lessons for Quick Mastery


1. Introduction
  • 1. Introduction

  • 2. Getting Started
  • 1. Introduction Getting Started

  • 3. Day 1 Introduction to Python
  • 1. Brief Description
  • 2. What is Python
  • 3. Installing Python on Windows
  • 4. Installing Python on Linux
  • 5. First Python Program
  • 6. Article Writing and Running the First Python Program.html
  • 7. DEMO Practical Hello World!
  • 8. Quiz Day 1 Introduction to Python.html
  • 9. Practical Exercises Day 1.html
  • 10. Print Your Name Write a program that prints your name to the console..html
  • 11. Print a Short Message Write a program that prints a short welcome message to the console..html
  • 12. Print Your Favorite Quote Write a program that prints your favorite quote to the console..html
  • 13. Summary Day 1.html
  • 14. Download Day 1.html

  • 4. Day 2 Variables and Data Types
  • 1. Learn Variables and Data Types
  • 2. Learn Variables (Examples)
  • 3. Learn Data Types (Examples)
  • 4. Learn Type Conversion (Examples)
  • 5. DEMO Day 2 (Practical Examples)
  • 6. Practical Exercises Day 2.html
  • 7. Define and Print Variables.html
  • 8. Type Conversion Practice.html
  • 9. Arithmetic with Different Types.html
  • 10. Quiz Day 2 Variables and Data Types.html
  • 11. Summary Day 2.html
  • 12. Download Day 2.html

  • 5. Day 3 Basic Arithmetic Operations
  • 1. Learn Basic Arithmetic Operators
  • 2. Learn Arithmetic Opeprators (Examples)
  • 3. DEMO Day 3 (Practical Examples)
  • 4. Practical Exercises Day 3.html
  • 5. Perform Basic Arithmetic Operations.html
  • 6. Calculate the Area of a Circle.html
  • 7. Convert Fahrenheit to Celsius.html
  • 8. Day 3 Basic Arithmetic Operations.html
  • 9. Summary Day 3.html
  • 10. Download Day 3.html

  • 6. Day 4 Strings
  • 1. Strings Brief Description.html
  • 2. Learn Strings in Python
  • 3. Learn Creating Strings (Example)
  • 4. Learn String Methods (Example)
  • 5. Learn String Concatenation (Example)
  • 6. Learn String Formatting (Example)
  • 7. DEMO Day 4 (Practical Example)
  • 8. Practical Exercises Day 4.html
  • 9. Basic String Operations.html
  • 10. String Concatenation and Formatting.html
  • 11. String Slicing.html
  • 12. Quiz Day 4 Strings.html
  • 13. Summary Day 4 (Strings).html
  • 14. Download Day 4.html

  • 7. Day 5 Lists
  • 1. Lists Brief Description.html
  • 2. Learn Lists in Python
  • 3. Learn Creating Lists (Example)
  • 4. Learn Accessing List Elements (Example)
  • 5. Learn Modifying List Elements (Example)
  • 6. Learn Adding Elements to a List (Example)
  • 7. Learn Removing Elements from a List (Example)
  • 8. Learn List Slicing (Example)
  • 9. DEMO Day 5 (Practical Example)
  • 10. Practical Exercises Day 5.html
  • 11. Access and Slice a List.html
  • 12. Create and Modify a List.html
  • 13. Extend and Clear a List.html
  • 14. Quiz Day 5 Lists.html
  • 15. Summary Day 5 (Lists).html
  • 16. Download Day 5.html

  • 8. Day 6 Tuples
  • 1. Tuples Brief Description.html
  • 2. Learn Tuples in Python
  • 3. Learn Creating Tuples (Example)
  • 4. Learn Accessing Tuple Elements (Example)
  • 5. Learn Immutability of Tuples (Example)
  • 6. Learn Common Tuple Operations (Example)
  • 7. Learn Tuple Packing and Unpacking (Example)
  • 8. DEMO Day 6 (Practical Example)
  • 9. Practical Exercises Day 6 (Tuples).html
  • 10. Create and Access a Tuple.html
  • 11. Concatenate and Repeat Tuples.html
  • 12. Tuple Unpacking.html
  • 13. Quiz Day 6 Tuples.html
  • 14. Summary Day 6 (Tuples).html
  • 15. Download Day 6.html

  • 9. Day 7 Dictionaries
  • 1. Dictionaries Brief Description.html
  • 2. Learn Dictionaries in Python
  • 3. Learn Creating Dictionaries (Example)
  • 4. Learn Accessing Dictionary Elements (Example)
  • 5. Learn Modifying Dictionary Elements (Example)
  • 6. Learn Removing Dictionary Elements (Example)
  • 7. Learn Common Dictionary Operations (Example)
  • 8. DEMO Day 7 (Practical Example)
  • 9. Practical Exercises Day 7 (Dictionaries).html
  • 10. Create and Access a Dictionary.html
  • 11. Modify and Add Elements.html
  • 12. Remove Elements and Update Dictionary.html
  • 13. Quiz Day 7 (Dictionaries).html
  • 14. Summary Day 7 (Dictionaries).html
  • 15. Download Day 7.html

  • 10. Control Flow
  • 1. Introduction Control Flow

  • 11. Day 8 Conditional Statements
  • 1. Conditional Statements Brief Description.html
  • 2. Learn Conditional Statements in Python
  • 3. Learn If Statements (Example)
  • 4. Learn Elif Statements (Example)
  • 5. Learn Else Statements (Example)
  • 6. Learn Nested Conditionals (Example)
  • 7. DEMO Day 8 (Conditional Statements) - (Practical Example)
  • 8. Practical Exercises Day 8 (Conditional Statements).html
  • 9. Basic If Statement.html
  • 10. Grade Checker.html
  • 11. Nested If Statements.html
  • 12. Day 8 (Conditional Statements).html
  • 13. Summary Day 8 (Conditional Statements).html
  • 14. Download Day 8.html

  • 12. Day 9 For Loops
  • 1. For Loops Brief Description.html
  • 2. Learn For Loops in Python
  • 3. Learn For Loops with Lists (Example)
  • 4. Learn For Loops with Strings (Example)
  • 5. Learn For Loops with Ranges (Example)
  • 6. Learn Nested For Loops (Example)
  • 7. Practical Exercises Day 9 (For Loops).html
  • 8. DEMO Day 9 (For Loops) - (Practical Example)
  • 9. Iterate Over a List of Names.html
  • 10. Print Even Numbers in a Range.html
  • 11. Nested For Loop to Print a Pattern.html
  • 12. Day 9 (For Loops).html
  • 13. Summary Day 9 (For Loops).html
  • 14. Download Day 9.html

  • 13. Day 10 While Loops
  • 1. While Loops Brief Description.html
  • 2. Learn While Loops in Python
  • 3. Learn While Loop Syntax (Example)
  • 4. Learn Using Break Statement (Example)
  • 5. Learn Using Continue Statement (Example)
  • 6. Learn Writing Loops with Conditions (Example)
  • 7. Practical Exercises Day 10 (While Loops).html
  • 8. DEMO Day 10 (While Loops)
  • 9. Day 10 (While Loops).html
  • 10. Count Down from a Number.html
  • 11. Sum of Numbers.html
  • 12. Find the First Multiple of 7.html
  • 13. Print Odd Numbers.html
  • 14. Summary Day 10 (While Loops).html
  • 15. Download Day 10.html

  • 14. Day 11 List Comprehensions
  • 1. List Comprehensions Brief Description.html
  • 2. Learn List Comprehensions in Python
  • 3. Learn List Comprehensions - Basic Syntax (Example)
  • 4. Learn List Comprehensions with Conditions (Example)
  • 5. Learn Nested List Comprehensions (Example)
  • 6. Practical Exercises Day 11 (List Comprehensions).html
  • 7. Create a List of Cubes.html
  • 8. Filter Odd Numbers.html
  • 9. Find Common Elements.html
  • 10. Generate a Multiplication Table.html
  • 11. Day 11 (List Comprehensions).html
  • 12. Summary Day 11 (List Comprehensions).html
  • 13. Download Day 11.html

  • 15. Day 12 Nested Loops
  • 1. Nested Loops Brief Description.html
  • 2. Learn Nested For Loops (Example)
  • 3. Learn Nested While Loops (Example)
  • 4. Practical Exercises Day 12 (Nested Loops).html
  • 5. Practical Exercises Day 12 (Nested Loops).html
  • 6. Sum of Each Row and Column.html
  • 7. Identity Matrix.html
  • 8. Pattern Printing with Numbers.html
  • 9. Find Prime Numbers in a Range.html
  • 10. Day 12 (Nested Loops).html
  • 11. Summary Day 12 (Nested Loops).html
  • 12. Download Day 12 (Nested Loops).html

  • 16. Day 13 Functions
  • 1. Functions Brief Descriptions.html
  • 2. Learn Functions in Python
  • 3. Learn Defining Functions (Example)
  • 4. Learn Calling Functions (Example)
  • 5. Learn Function Arguments (Example)
  • 6. Learn Default Arguments (Example)
  • 7. Learn Return Values (Example)
  • 8. Learn Return Values in Python
  • 9. Learn Lambda Functions (Example)
  • 10. Learn Lambda Functions in Python
  • 11. Practical Exercises Day 13 (Functions).html
  • 12. Function to Calculate Factorial.html
  • 13. Function to Check Even or Odd.html
  • 14. Function to Find the Maximum of Three Numbers.html
  • 15. Lambda Function to Calculate the Product.html
  • 16. Function with Default Argument.html
  • 17. Day 13 (Functions).html
  • 18. Summary Day 13 (Functions).html
  • 19. Download Day 13 (Functions).html

  • 17. Day 14 Practice Day
  • 1. Practice Day Brief Description.html
  • 2. Day 14 Comprehensive Practice Exercises.html
  • 3. Simple Calculator.html
  • 4. Student Grades.html
  • 5. Pattern Printing.html
  • 6. Reverse a String.html
  • 7. Find Prime Numbers.html
  • 8. Matrix Multiplication.html
  • 9. List Comprehensions.html
  • 10. Dictionary Comprehension.html
  • 11. Nested Loops.html
  • 12. String Manipulation.html
  • 13. Day 14 Practice Day.html
  • 14. Summary Day 14 (Practice Day).html
  • 15. Download Day 14 (Practice Day).html

  • 18. Advanced Data Structures and Functions
  • 1. Introduction Advanced Data Structures and Functions

  • 19. Day 15 Sets
  • 1. Sets Brief Descriptions.html
  • 2. Learn Sets in Python
  • 3. Learn Creating Sets (Example)
  • 4. Learn Properties of Sets (Example)
  • 5. Learn Adding and Remove Elements (Example)
  • 6. Learn Set Operation in Python
  • 7. Learn Union (Example)
  • 8. Learn Intersection (Example)
  • 9. Learn Difference (Example)
  • 10. Learn Symmetric Difference (Example)
  • 11. Practical Examples Day 15 (Sets).html
  • 12. Unique Elements.html
  • 13. Check Subset.html
  • 14. Common Elements.html
  • 15. Symmetric Difference.html
  • 16. Summary Day 15 (Sets).html
  • 17. Day 15 (Sets).html
  • 18. Download Day 15 (Sets).html

  • 20. Day 16 Dictionary Comprehensions
  • 1. Dictionary Comprehensions Brief Description.html
  • 2. Learn Dictionary Comprehension in Python
  • 3. Learn Dictionary Comprehension Basic Syntax (Example)
  • 4. Learn Dictionary Comprehensions with Conditions (Example)
  • 5. Practical Examples Day 16 (Dictionary Comprehensions).html
  • 6. Day 16 (Dictionary Comprehensions).html
  • 7. Square Numbers Dictionary.html
  • 8. Length of Strings.html
  • 9. Filter and Transform.html
  • 10. Conditional Values.html
  • 11. Summary Day 16 (Dictionary Comprehensions).html
  • 12. Download Day 16 (Dictionary Comprehensions).html

  • 21. Day 17 File Handling
  • 1. File Handling Brief Description.html
  • 2. Learn File Handling in Python
  • 3. Learn Opening and Closing Files (Example)
  • 4. Learn Using Context Managers (Example)
  • 5. Learn Reading Files (Example)
  • 6. Learn Writing to Files (Example)
  • 7. Practical Examples Day 17 (File Handling).html
  • 8. Practical Exercises Day 17 (File Handling).html
  • 9. Day 17 File Handling.html
  • 10. Summary Day 17 (File Handling).html
  • 11. Download Day 17 ( File Handling ).html

  • 22. Day 18 Exception Handling
  • 1. Error Handling Brief Description.html
  • 2. Learn Exception Handling in Python
  • 3. Practical Examples Day 18 (Exception Handling).html
  • 4. Learn Try and Except Blocks (Example)
  • 5. Learn Catching Specific Exceptions (Example)
  • 6. Learn Else Block (Example)
  • 7. Learn Finally Block (Example)
  • 8. Learn Raising Exceptions (Example)
  • 9. Simple Calculator with Error Handling.html
  • 10. File Reading with Error Handling.html
  • 11. Check Even Number with Error Handling.html
  • 12. Custom Exception Handling.html
  • 13. Day 18 (Exception Handling).html
  • 14. Summary Day 18 (Exception Handling).html
  • 15. Download Day 18 (Exception Handling).html

  • 23. Day 19 Modules and Packages
  • 1. Modules and Packages Brief Description.html
  • 2. Learn Importing Modules in Python
  • 3. Learn Modules (Example)
  • 4. Learn Using the Module (Example)
  • 5. Learn Importing Specific Functions or Variables (Example)
  • 6. Learn Importing with Aliases (Example)
  • 7. Learn Packages (Example)
  • 8. Learn Using the Package (Example)
  • 9. Practical Examples Day 19 (Modules and Packages).html
  • 10. Practical Exercises Day 19 (Modules and Packages).html
  • 11. Create a Module.html
  • 12. Create a Package.html
  • 13. Day 19 (Modules and Packages).html
  • 14. Summary Day 19 (Modules and Packages).html
  • 15. Download Day 19 (Modules and Packages).html

  • 24. Day 20 Working with CSV Files
  • 1. Working with CSV Files Brief Description.html
  • 2. Learn Working with CSV Files in Python
  • 3. Learn Reading CSV Files (Example)
  • 4. Learn Using the pandas Library (Example)
  • 5. Learn Writing CSV Files (Example)
  • 6. Learn Using the pandas Library (Example)
  • 7. Learn Manipulating CSV Data (Example)
  • 8. Practical Examples Day 20 (Working with CSV Files).html
  • 9. Day 20 Working with CSV Files.html
  • 10. Summary Day 20 Working with CSV Files.html
  • 11. Download Day 20 (Working with CSV Files).html

  • 25. Day 21 Practice Day
  • 1. Exercise 1 Hello, World!.html
  • 2. Exercise 2 Variables and Types.html
  • 3. Exercise 3 List Operations.html
  • 4. Exercise 4 String Manipulation.html
  • 5. Exercise 5 Basic Arithmetic.html
  • 6. Exercise 6 Conditionals.html
  • 7. Exercise 7 For Loops.html
  • 8. Exercise 8 While Loops.html
  • 9. Exercise 9 Functions.html
  • 10. Exercise 10 Dictionaries.html
  • 11. Exercise 11 Tuples.html
  • 12. Exercise 12 Sets.html
  • 13. Exercise 13 List Comprehension.html
  • 14. Exercise 14 File Handling.html
  • 15. Exercise 15 Exception Handling.html
  • 16. Download Day 21 Practice Day.html

  • 26. Advanced Topics and Applications
  • 1. Introduction Advanced Topics and Applications

  • 27. Day 22 JSON Handling
  • 1. JSON Handling Brief Description.html
  • 2. Learn JSON Handling in Python
  • 3. Learn Reading JSON Data (Example)
  • 4. Learn Writing JSON Data (Example)
  • 5. Learn Manipulating JSON Data (Example)
  • 6. Practical Examples Day 22 (JSON Handling).html
  • 7. Practical Exercises Day 22 (JSON Handling).html
  • 8. Day 22 JSON Handling.html
  • 9. Summary Day 22 JSON Handling.html
  • 10. Download Day 22 JSON Handling.html

  • 28. Day 23 Regular Expressions
  • 1. Regular Expression Brief Description.html
  • 2. Learn Regular Expression (regex)
  • 3. Learn Basic Functions in the re Module in Python
  • 4. Learn Importing the re Module (Example)
  • 5. Learn re.search() (Example)
  • 6. Learn re.match() (Example)
  • 7. Learn re.findall() (Example)
  • 8. Learn re.finditer() (Example)
  • 9. Learn re.sub() (Example)
  • 10. Learn Special Characters in Regular Expressions
  • 11. Practical Examples Day 23 Regular Expressions.html
  • 12. Find All Words in a String.html
  • 13. Validate a Phone Number.html
  • 14. Extract Domain Names from URLs.html
  • 15. Replace Dates in a String.html
  • 16. Day 23 Regular Expressions.html
  • 17. Summary Day 23 (Regular Expressions).html
  • 18. Download Day 23 (Regular Expressions).html

  • 29. Day 24 Date and Time
  • 1. Data and Time Brief Description.html
  • 2. Learn Date and Time
  • 3. Learn Working with Date and Time in Python
  • 4. Learn The datetime Module (Example)
  • 5. Learn Creating Date and Time Objects (Example)
  • 6. Learn Formatting Dates and Times in Python
  • 7. Learn Using strftime (Example)
  • 8. Learn Common Format Codes (Example)
  • 9. Learn Parsing Dates and Times in Python
  • 10. Learn Using strptime (Example)
  • 11. Learn Performing Date and Time Arithmetic in Python
  • 12. Learn Adding and Subtracting Dates and Times (Example)
  • 13. Learn Calculating the Difference Between Dates (Example)
  • 14. Practical Examples Day 24 Date and Time.html
  • 15. Get Current Date and Time.html
  • 16. Format a Given Date.html
  • 17. Parse a Date String.html
  • 18. Date Arithmetic.html
  • 19. Day 24 Date and Time.html
  • 20. Summary Day 24 Date and Time.html
  • 21. Download Day 24 Date and Time.html

  • 30. Day 25 Lambda Functions and Functional Programming
  • 1. Functional Programming with Python Brief Description.html
  • 2. Learn Lambda Functions in Python
  • 3. Learn What is a Lambda Function (Example)
  • 4. Learn Using Lambda Functions in Python
  • 5. Learn With map (Example)
  • 6. Learn With filter (Example)
  • 7. Learn With reduce (Example)
  • 8. Learn Functional Programming in Python
  • 9. Learn Map Function (Example)
  • 10. Learn Filter Function (Example)
  • 11. Learn Reduce Function (Example)
  • 12. Practical Examples Day 25 (Lambda Functions and Functional Programming).html
  • 13. Basic Lambda Function.html
  • 14. Filtering with Lambda.html
  • 15. Reducing with Lambda.html
  • 16. Day 25 (Lambda Functions and Functional Programming).html
  • 17. Summary Day 25 (Lambda Functions and Functional Programming).html
  • 18. Download Day 25 (Lambda Functions and Functional Programming).html

  • 31. Day 26 Creating and Using Generators
  • 1. Creating and Using Generators Brief Description.html
  • 2. Learn Creating and Using Generators in Python
  • 3. Learn Understanding Generators (Example)
  • 4. Learn What is a Generator
  • 5. Learn Creating Generators (Example)
  • 6. Learn Generator Expressions (Example)
  • 7. Learn Advantages of Generators
  • 8. Learn Using Generators with Built-in Functions
  • 9. Learn sum Function (Example)
  • 10. Learn sorted Function (Example)
  • 11. Learn itertools Module (Example)
  • 12. Practical Examples Day 26 Creating and Using Generators.html
  • 13. Create a Simple Generator.html
  • 14. Generator Expression.html
  • 15. Infinite Sequence Generator.html
  • 16. Generator for Large File Processing.html
  • 17. Day 26 Creating and Using Generators.html
  • 18. Summary Day 26 Creating and Using Generators.html
  • 19. Donwload Day 26 Creating and Using Generators.html

  • 32. Day 27 Decorators
  • 1. Decorators Brief Description.html
  • 2. Learn Decorators in Python
  • 3. Learn Understanding Decorators (Example)
  • 4. Learn What is a Decorators
  • 5. Learn Creating a Simple Decorator (Example)
  • 6. Learn Define the Decorator Function (Example)
  • 7. Learn Use the Decorator (Example)
  • 8. Learn Applying Multiple Decorators (Example)
  • 9. Learn Decorators with Arguments (Example)
  • 10. Learn Using functools.wraps (Example)
  • 11. Practical Examples Day 27 (Decorators).html
  • 12. Create a Simple Decorator.html
  • 13. Create a Decorator with Arguments.html
  • 14. Preserve Function Metadata.html
  • 15. Day 27 Decorators.html
  • 16. Summary Day 27 Decorators.html
  • 17. Download Day 27 Decorators.html

  • 33. Day 28 Object-Oriented Programming ( PART I. )
  • 1. Object-Oriented Programming (OOP) - Part 1 Brief Description.html
  • 2. Learn Object - Oriented Programming in Python
  • 3. Learn Classes and Objects (Example)
  • 4. Learn The init Method (Example)
  • 5. Learn Attributes (Example)
  • 6. Learn Methods (Example)
  • 7. Day 28 Object-Oriented Programming ( PART I. ).html
  • 8. Define a Class and Create an Object.html
  • 9. Add a Method to the Class.html
  • 10. Class with Class and Instance Attributes.html
  • 11. Modifying Attributes.html
  • 12. Practical Examples Day 28 (Object - Oriented Programming) - (PART I.).html
  • 13. Summary Day 28 (OOP-P1).html
  • 14. Download Day 28 OOP - PART I..html

  • 34. Day 28 Object-Oriented Programming ( PART II. )
  • 1. Object-Oriented Programming (OOP) - Part 2 Brief Description.html
  • 2. Learn Object-Oriented Programming (OOP) - Part 2 - in Python
  • 3. Learn Inheritance (Example)
  • 4. Learn Method Overriding (Example)
  • 5. Learn Using super() (Example)
  • 6. Learn Multiple Inheritance (Example)
  • 7. Practical Examples Day 28 (Object - Oriented Programming) - (PART II.).html
  • 8. Inheritance and Method Overriding.html
  • 9. Using super().html
  • 10. Multiple Inheritance.html
  • 11. Method Overriding and super().html
  • 12. Day 28 Object - Oriented Programming (OOP) - Part 2..html
  • 13. Summary Day 28 OOP - PART II..html
  • 14. Download Day 28 OOP - PART II..html

  • 35. Day 29 Practice Day
  • 1. Exercise 16 Classes and Objects.html
  • 2. Exercise 17 Inheritance.html
  • 3. Exercise 18 Modules.html
  • 4. Exercise 19 Lambda Functions.html
  • 5. Exercise 20 Map and Filter.html
  • 6. Exercise 21 List Slicing.html
  • 7. Exercise 22 String Formatting.html
  • 8. Exercise 23 Nested Loops.html
  • 9. Exercise 24 Random Numbers.html
  • 10. Exercise 25 Recursive Functions.html
  • 11. Download Day 29 Practice Day.html

  • 36. Day 30 Final Project
  • 1. Personal Finance Tracker.html
  • 2. Project Requirements.html
  • 3. Project Structure.html
  • 4. Step-by-Step Implementation Step 1 Set Up the Project Directory.html
  • 5. Step-by-Step Implementation Step 2 Create the CSV File.html
  • 6. Step-by-Step Implementation Step 3 Implement the Data Handling Functions.html
  • 7. Step-by-Step Implementation Step 4 Implement the Command-Line Interface.html
  • 8. Step-by-Step Implementation Step 5 Implement Data Analysis Functions.html
  • 9. Step-by-Step Implementation Step 6 Implement Data Visualization Functions.html
  • 10. Step-by-Step Implementation Step 7 Finalize and Document the Project.html
  • 11. Summary Day 30 Final Project.html
  • 12.1 folders.zip
  • 12.10 step7.zip
  • 12. Download Day 30 Final Project.html

  • 37. Summary
  • 1. Next Step.html
  • 2. Thanks.html
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