Python Basics Online Course

Python Basics Online Course

This course offers a structured and beginner-friendly introduction to Python programming. Designed for individuals with little to no coding experience, it guides you through Python basics, including data types, variables, and control flow. As you progress, you’ll tackle advanced topics such as file handling, custom functions, and exception management. Each lesson is accompanied by hands-on exercises to reinforce your understanding, and you’ll work with practical examples that simulate real-world tasks. By the end of the course, you’ll have the knowledge and skills to write Python programs confidently and apply them in diverse scenarios like automation, data processing, and application development.

Key Benefits

• Comprehensive coverage of Python basics and advanced concepts.
• Hands-on exercises for practical, real-world learning.
• Detailed instruction on Python’s control flow, file handling, and error management.
• Step-by-step guidance to create and work with custom functions.
• Access to supplementary materials aligned with Practice Labs for certifications.
• A solid foundation for further exploration in data science, machine learning, or web development.

Target Audience

This course is perfect for:

• Beginners: Individuals with no prior programming experience who want to start with Python.
• Students: Learners seeking a structured course to grasp Python fundamentals.
• Professionals: Those looking to add Python programming to their skill set for career advancement.
• Returning Learners: People who’ve tried learning Python before but need a more guided approach.

Learning Objectives

By the end of this course, you will:

• Understand Python’s syntax, data types, and control flow mechanisms.
• Perform operations with lists, including creation, slicing, and modification.
• Handle files by reading, writing, and copying data efficiently.
• Write reusable custom functions using default, keyword, and positional arguments.
• Use Python’s Standard Library for tasks involving math, randomization, and datetime.
• Manage runtime errors effectively with exception handling.

Course Outline

The Python Basics Exam covers the following topics - 

Domain 1 - Getting Started with Python

• Overview: Understand Python's purpose, advantages, and applications in programming.
• Working with Primitive Data Types: Learn to define and use basic Python data types like integers, floats, and strings.

Domain 2 - Efficient Variable Assignment Techniques

• Multiple Assignment Statements: Explore how to assign values to multiple variables in a single step to write cleaner code.

Domain 3 - Data Type Conversion in Python

• Converting Types in Python: Learn to convert data types like integers to strings or floats, ensuring compatibility across operations.

Domain 4 - Introduction to List Creation

• Creating Lists: Understand how to create and initialize lists, one of Python’s most powerful data structures.

Domain 5 - Techniques for Modifying Lists

• Modifying Lists: Learn to add, remove, and update list elements efficiently.

Domain 6 - Sorting and Reversing List Elements

• Sorting and Reversing Lists: Understand how to organize lists in ascending or descending order and reverse their elements.

Domain 7 - List Slicing Techniques

• Slicing Lists: Explore how to extract subsets of lists using slicing techniques for efficient data handling.

Domain 8 - Mastering Python Operators

• Working with Operators: Learn to use arithmetic, logical, and comparison operators in Python programs.

Domain 9 - Understanding Operator Precedence

• Determining Operator Precedence: Understand the order in which operations are performed when using multiple operators.

Domain 10 - Conditional Logic with If Statements

• Working with If Statements: Master basic if statements to implement decision-making in your code.

Domain 11 - Advanced Conditional Expressions

• Using Compound Conditional Expressions: Use and, or, and not operators to write more complex conditions.

Domain 12 - Iterating with For Loops

• Working with For Loops: Learn how to iterate over sequences like lists and strings using for loops.

Domain 13 - Looping with While Constructs

• Working with While Loops: Understand how to use while loops for repeated execution of code blocks.

Domain 14 - Complex Iterations with Nested For Loops

• Nesting For Loops: Master nested loops to handle multidimensional data structures like lists of lists.

Domain 15 - File Reading Techniques in Python

• Reading Files: Learn how to open and read data from files for processing.

Domain 16 - File Copying Methods

• Copying Files: Understand how to copy data from one file to another efficiently.

Domain 17 - Automating Email Merges

• Merging Mails: Automate email merges by processing and formatting file data.

Domain 18 - Handling Console Inputs and Outputs

• Reading Console Inputs and Formatting Outputs: Learn how to accept user input and display results in a formatted manner.

Domain 19 - Processing Command Line Arguments

• Reading Command Line Arguments: Use command-line arguments to customize program behavior at runtime.

Domain 20 - Creating Custom Functions

• Defining Functions: Write reusable blocks of code by defining functions with meaningful parameters.

Domain 21 - Implementing Default Arguments in Functions

• Using Default Arguments: Set default values for function parameters to simplify function calls.

Domain 22 - Working with Keyword and Positional Arguments

• Using Keyword and Positional Arguments: Learn how to pass arguments in flexible ways to your functions.

Domain 23 - Exception Handling in Python

• Handling Exceptions: Manage runtime errors effectively using try-except blocks.

Domain 24 - Exploring the Math and Random Modules

• Using Math and Random Modules: Utilize these modules for mathematical computations and random number generation.

Domain 25 - Managing Datetime and File Metadata

• Display Datetime, Working Directory, and File Metadata: Work with dates, times, and file properties for advanced functionality.