25 Days of Python Coding: Exercises For Beginner Learners
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 3m | 1.6 GB
Instructor: Dr. Reza Shahin

• Understand and work with Python's numeric, string, and boolean data types.
  
• Perform arithmetic operations and type conversions in Python programs.
  
• Use `if', `if-else', and `if-elif-else' statements for decision-making in Python.
  
• Apply logical and comparison operators to evaluate conditions effectively.
  
• Write Python programs using loops for repetitive tasks.
  
• Combine, replace, and search for substrings in Python string operations.
  

• Basic knowledge of Python is required
  
• Understanding of fundamental data types (integers, floats, booleans, and strings)
  
• Familiarity with functions and how they work
  
• Knowledge of loops and their usage.
  
• Understanding of conditional statements (if, elif, else).
  

• Python Basics - Writing and running Python code, understanding syntax, and using basic commands.
  
• Data Types - Working with integers, floats, booleans, and strings.
  
• Functions - Defining and using functions, parameters, and return values.
  
• Loops - Implementing for and while loops for iteration and automation.
  
• Conditional Statements - Applying if, elif, and else to control program flow.
  

• 25 hands-on projects to solidify your understanding of Python.
  
• Daily coding practice to develop consistency and confidence.
  
• A structured learning approach that gradually increases in complexity.
  
• A portfolio of completed projects to showcase your progress.
  

• Beginners who have a basic understanding of Python and want structured practice.
  
• Aspiring developers looking to strengthen their problem-solving skills.
  
• Students and professionals transitioning into programming or automation.
  
• Anyone who wants to build a habit of daily coding.
  

• Students looking to build a strong foundation in Python programming.
  
• Professionals interested in transitioning to a tech or programming-related career.
  
• Hobbyists curious about coding and problem-solving using Python.
  
• Anyone seeking a step-by-step introduction to Python concepts and practical coding exercises.
  

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