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Free Certificate
Programming with Python: Introduction for Beginners
Master the basics with this free Python course for beginners. Learn core programming concepts such as control statements, data structures, like lists, tuples, and dictionaries, and object-oriented programming.
13 hours of learning
Data Structures
DOM Manipulation
OOP
Key Highlights Of This Python Programming for Beginners Course
What You Will Learn
BASICS OF PYTHON
Begin your Python journey with this foundational session that walks you through setting up your development environment, writing your first program, and exploring core programming concepts. Ideal for beginners, this session ensures you're equipped with the essentials to begin coding confidently in Python.
- History of Python
Explore the origins and evolution of Python, from its creation by Guido van Rossum to its rise as a top programming language. Understand why Python is widely adopted across domains like web development, AI, data science, automation, and education. - Installation Help
Follow a step-by-step guide to install Python and a recommended IDE like VS Code or PyCharm. Learn how to configure your environment, set system paths, and verify the installation across different operating systems—Windows, macOS, and Linux. - Write Your First Program
Learn how to write and run your first Python script using theprint()function. Understand how Python scripts are structured and executed, laying the foundation for writing interactive and logic-driven applications. - Data Types
Get introduced to Python’s fundamental data types: integers, floats, strings, and booleans. Learn how to assign values, identify data types usingtype(), and use them appropriately in different coding scenarios. - Arithmetic Operations
Master basic mathematical operations in Python such as addition, subtraction, multiplication, division, modulus, and exponentiation. Apply these operations in coding exercises to develop computation logic and enhance your programming fluency. - String Operations
Explore Python’s string manipulation capabilities—concatenation, slicing, formatting, and using built-in methods like.lower(),.replace(), and.split(). Learn how to handle text data efficiently and integrate strings into larger programs.
data structures in python
Understand and manipulate Python’s built-in data structures, which are essential for organizing, storing, and processing data efficiently. This session focuses on using tuples, sets, lists, and dictionaries to build a strong foundation in data handling and logical programming.
- Tuples
Learn how to create and use tuples, which are immutable sequences ideal for storing fixed collections of items. Understand tuple indexing, slicing, unpacking, and where immutability becomes a performance or design advantage in real-world applications. - Sets
Explore the set data type to handle unique values and perform operations like union, intersection, and difference. Sets are especially useful in scenarios requiring fast membership testing or deduplication of data elements. - Lists
Master Python’s most versatile data structure—lists. Learn to create, update, iterate, and slice lists. Practice commonly used list methods such asappend(),remove(),sort(), and understand when to use lists in real-time logic flows. - Dictionaries
Work with dictionaries to store and retrieve structured data using key-value pairs. Learn how to loop through dictionaries, update values, and nest data. Understand use cases where quick lookups and labeled data structures are essential.
Control Structures and Functions
Dive into control flow logic and function design—two of the most crucial elements in programming. This session helps you automate decisions and repetitive tasks efficiently using conditional logic, loops, comprehensions, and reusable function blocks.
- Decision Making
Implementif,elif, andelsestatements to control the logical flow of your programs based on conditions. Practice nested conditions and boolean expressions to create intelligent, responsive code structures. - Iterations
Automate repetitive tasks usingforandwhileloops. Learn the mechanics of loop counters, loop control statements (break,continue), and apply iterations to real-world tasks like data filtering and aggregation. - Comprehensions
Discover list, set, and dictionary comprehensions to write more concise and readable Python code. Understand how comprehensions improve performance and reduce redundancy in logic-heavy applications. - Functions in Python
Define reusable blocks of logic using functions. Learn syntax, function parameters, return values, and the importance of scope. Practice writing clean modular code that enhances readability and maintainability. - Map, Filter, and Reduce
Implement powerful functional programming techniques usingmap(),filter(), andreduce()to perform transformations, selections, and aggregations. These tools allow for elegant solutions in data processing and manipulation.
OOP in python
Step into the world of object-oriented programming (OOP) where code is more modular, reusable, and organized. Learn how Python supports OOP principles such as classes, objects, inheritance, and method overriding to model real-world problems efficiently.
- Class
Learn to create classes, which act as blueprints for objects. Understand class syntax, attributes, and how classes help encapsulate data and behavior in a clean, reusable structure. - Objects
Instantiate objects from user-defined classes and interact with them. Understand how objects hold data and offer customized behavior through method calls and attribute access. - Methods
Define methods—functions that operate on object data. Learn about instance methods, constructors (__init__), and how methods enforce behavior across class instances. - Class Inheritance
Reuse existing class logic through inheritance. Learn how child classes derive from parent classes, extend functionality, and create more efficient, hierarchical codebases. - Overriding
Override parent class methods to modify behavior in child classes. This enables you to customize logic while maintaining base functionality—crucial in scalable OOP applications.
What Are The Benefits of This Course?
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