What You Need to Know Before
You Start

Starts 18 June 2025 17:38

Ends 18 June 2025

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00 hours
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Python for Complete Beginners

Master Python fundamentals through hands-on exercises using Google Colab, covering basics from data types to functions, while learning to generate code with AI - perfect for absolute beginners.
via Udemy

4120 Courses


3 hours 31 minutes

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Overview

Welcome to Python for Beginners, the ultimate starting point for anyone looking to dive into the world of programming with Python. Whether you are a complete novice or someone looking to brush up on their skills, this course is designed to equip you with the essential knowledge and hands-on experience to become proficient in Python programming.

We will use Google Colab, a free platform that does not require installing any additional software, and enables code execution on Google servers instead of locally, on your computer.

Syllabus

  • Introduction to Python and Programming
  • Overview of Python and its applications
    Understanding Python syntax and structure
    Introduction to Google Colab and setting up your environment
  • Basic Python Concepts
  • Variables and data types
    Basic operators and expressions
    Input and output operations
  • Control Structures
  • Conditional statements (if, elif, else)
    Looping constructs (for, while)
    Control flow with break and continue
  • Functions and Modules
  • Defining and calling functions
    Function arguments and return values
    Introduction to Python modules and packages
    Importing and using modules
  • Data Structures
  • Lists and list operations
    Tuples and tuple operations
    Dictionaries and dictionary operations
    Sets and set operations
  • String Manipulation
  • String operations and methods
    Formatting and f-strings
    String slicing and indexing
  • Error Handling and Debugging
  • Understanding errors in Python
    Using try, except, finally for error handling
    Debugging techniques
  • Introduction to File Handling
  • Reading from and writing to files
    Working with file paths
  • Basics of Object-Oriented Programming
  • Introduction to classes and objects
    Attributes and methods
    Basic principles of OOP (encapsulation, inheritance)
  • Practical Applications and Projects
  • Simple script to automate a task
    Mini-project using learned concepts
  • Course Wrap-Up
  • Review of key concepts
    Resources for further learning
    Tips for practicing Python beyond the course

Taught by

Cyber Quince


Subjects

Programming