What You Need to Know Before
You Start
Starts 18 June 2025 17:38
Ends 18 June 2025
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3 hours 31 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Paid Course
Optional upgrade avallable
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
- Basic Python Concepts
- Control Structures
- Functions and Modules
- Data Structures
- String Manipulation
- Error Handling and Debugging
- Introduction to File Handling
- Basics of Object-Oriented Programming
- Practical Applications and Projects
- Course Wrap-Up
Overview of Python and its applications
Understanding Python syntax and structure
Introduction to Google Colab and setting up your environment
Variables and data types
Basic operators and expressions
Input and output operations
Conditional statements (if, elif, else)
Looping constructs (for, while)
Control flow with break and continue
Defining and calling functions
Function arguments and return values
Introduction to Python modules and packages
Importing and using modules
Lists and list operations
Tuples and tuple operations
Dictionaries and dictionary operations
Sets and set operations
String operations and methods
Formatting and f-strings
String slicing and indexing
Understanding errors in Python
Using try, except, finally for error handling
Debugging techniques
Reading from and writing to files
Working with file paths
Introduction to classes and objects
Attributes and methods
Basic principles of OOP (encapsulation, inheritance)
Simple script to automate a task
Mini-project using learned concepts
Review of key concepts
Resources for further learning
Tips for practicing Python beyond the course
Taught by
Cyber Quince
Subjects
Programming