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Python Basics Course

Syllabus:

Python Basics Course

21 Lessons 338 Online Coding Questions


What topics will be covered in the course?

Programming Basics

  1. Introduction:

    • Course Overview and Objectives

    • Importance of Python in Programming

    • Prerequisites and Getting Started

  1. Variables and Data Types:

    • Print statement: print() - Output your first code line.

    • Variable declaration - Define and initialize variables.

    • Data types in Python - Explore integers, floats, and strings.

    • Type conversion - Convert data between types.

    • More advanced math calculations - Enhance math skills in Python.

  1. Arithmetic Operations:

    • Basic arithmetic - Master addition, subtraction, multiplication, and division.

    • Operator precedence - Control the order of operations.

    • Math functions in Python - Explore built-in math functions.

Working with Strings

  1. Introduction to Strings:

    • String basics - Understand string structure.

    • String manipulation - Learn concatenation and slicing.

    • String methods - Explore powerful string methods.

  1. Indexing and Slicing with Strings:

    • String indexing - Access individual characters.

    • String slicing - Extract substrings based on criteria.

    • String manipulation - Apply techniques to solve real-world problems.

  1. String Properties and Methods:

    • String properties - Explore inherent string characteristics.

    • String methods - Utilize methods for efficient manipulation.

    • String manipulation - Apply advanced techniques for transformation.

  1. Print Formatting with Strings:

    • String formatting - Master formatting options.

    • F-string usage - Learn concise formatting with f-strings.

    • Print statement formatting - Enhance print statements.

Understanding Boolean Logic

  1. Understanding Boolean Values:

    • Boolean basics - Grasp the essentials of boolean values.

    • Boolean operators - Explore AND, OR, and NOT operations.

    • Boolean expressions - Learn to create logical conditions.

  1. Logical Operators:

    • Logical AND - Combine conditions with AND.

    • Logical OR - Combine conditions with OR.

    • Logical NOT - Negate a boolean value.

  1. Conditional Statements (if, else, elif):

    • If statement - Make decisions based on conditions.

    • Else statement - Handle alternative outcomes.

    • Elif statement - Combine multiple conditions.

  1. Boolean Expressions:

    • Boolean expressions - Build complex conditions.

    • Conditional logic - Apply logic to control program flow.

    • Boolean usage - Enhance decision-making in your code.

Python Loops and Control Statements

  1. Loops (for and while):

    • For loop basics - Iterate over sequences with for loops.

    • While loop basics - Repeat actions with while loops.

    • Loop control statements - Manipulate loop execution.

    • Nested for loops - Implement loops within loops.

  1. Break and Continue Statements:

    • Break statement - Exit a loop prematurely.

    • Continue statement - Skip the rest of a loop iteration.

    • Loop control in Python - Fine-tune loop behavior.

Functions and Data Structures

  1. Defining and Calling Functions:

    • Function basics - Understand function structure.

    • Function parameters - Pass information to functions.

    • Function return values - Receive and use function outputs.

  1. Function Parameters and Return Values:

    • Function parameters - Master working with function parameters.

    • Function return values - Delve deeper into function return values.

    • Function usage - Apply functions to solve real-world problems.

  1. Lists in Python:

    • List basics - Understand fundamental concepts of lists.

    • List operations - Explore a range of list manipulation techniques.

    • List comprehension - Dive into concise list creation and transformation.

  1. Dictionaries in Python:

    • Dictionary basics - Grasp foundational concepts of dictionaries.

    • Dictionary operations - Explore versatile operations for dictionaries.

    • Dictionary methods - Delve into efficient manipulation and retrieval.

  1. Tuples with Python:

    • Tuple basics - Learn characteristics and use cases of tuples.

    • Tuple operations - Explore powerful operations available for tuples.

    • Tuple unpacking - Utilize tuple unpacking for concise code.

  1. Sets in Python:

    • Set basics - Understand key properties of sets.

    • Set operations - Explore operations for efficient set manipulation.

    • Set methods - Utilize built-in methods for set transformation.

  1. Importing and Using Modules:

    • Module import - Learn to import external code modules.

    • Module usage - Explore the practical application of modules.

    • Standard libraries in Python - Discover common libraries for diverse tasks.

  1. Closing Thoughts on Python3 Mastery:

    • Reflecting on the Python3 Learning Journey

    • Acknowledgments and Next Steps