Welcome to “Python Programming: A Comprehensive Introduction” – a journey through the captivating world of Python. This course aims to provide learners with a thorough understanding of one of the world’s most popular and widely used programming languages. Whether you’re a budding developer, a data scientist in the making, or just someone who’s curious about programming, this course is tailored to offer insights and knowledge that can propel you forward in the tech world.
- Beginners with little to no prior programming experience.
- Programmers familiar with other languages looking to transition to Python.
- Professionals from non-tech fields want to integrate Python into their skillset.
By the end of this course, participants will be able to:
- Understand the fundamentals of Python and programming concepts.
- Write, debug, and optimize Python code efficiently.
- Develop a variety of applications ranging from web development to data analysis.
- Integrate Python with other technologies and platforms.
- Python Basics
- Introduction to Python: History & Features
- Setting up the Python Environment
- Basic Syntax & Variables
- Input and Output Functions
- Data Structures
- Strings, Lists, Tuples, Sets, and Dictionaries
- Basic Operations and Methods
- Iterating and Comprehensions
- Control Flow & Functions
- Conditional Statements
- Loops: For & While
- Functions: Definition, Arguments, Return, and Scope
- Modules and Packages
- Standard Libraries
- Installing External Packages (pip)
- Creating Custom Modules
- Object-Oriented Programming
- Classes and Objects
- Inheritance and Polymorphism
- Encapsulation and Abstraction
- Exception Handling & File Operations
- Handling Exceptions
- Reading and Writing Files
- Working with Directories
- Advanced Topics
- Generators and Decorators
- Lambda Functions
- List, Set, and Dictionary Comprehensions
- Introduction to Web Development with Python
- Flask & Django: Overview
- Building a Simple Web Application
- Data Manipulation & Analysis
- Introduction to Pandas and Numpy
- Basic Data Analysis Techniques
- Final Project
- Guided development of a project incorporating key lessons from the course.
Assessment and Evaluation:
Students will be assessed through:
- Periodic quizzes and coding challenges.
- Hands-on lab exercises.
- A final project.
- 10 weeks (2 sessions per week, 2 hours per session)
- Additional office hours for personalized queries and assistance.
By the end of this transformative course, students will be equipped with a solid Python programming foundation and ready to take on more specialized tracks or dive into real-world projects with confidence.
- Lectures 17
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 502
- Assessments Yes