Computer fundamentals tutorial provides basic and advanced concepts of Bootstrap.
Course Overview
Module 1: Introduction to Python (1 month):
Understanding the basics of Python programming language.
Setting up the development environment (IDE, interpreter, etc.)..
Writing and executing simple Python programs..
Module 2: Python Fundamentals (1 month):
Variables, data types, and operators in Python.
Control flow statements (if, else, elif, loops)..
Functions and modular programming in Python.
Module 3: Data Structures in Python (1.5 months):
Lists, tuples, sets, and dictionaries.
Working with and manipulating data structures.
Understanding and implementing algorithms.
Module 4: Object-Oriented Programming (OOP) in Python (1.5 months)
Concepts of OOP: classes and objects.
Inheritance, encapsulation, and polymorphism.
Creating and using classes in Python.
Module 5: File Handling and Exception Handling (1 month)
Reading from and writing to files in Python.
Handling exceptions to make code robust and error-tolerant.
Module 6: Advanced Topics (1 month):
Introduction to libraries and frameworks (e.g., NumPy, Pandas).
Web development basics using frameworks like Flask.
Basic concepts of data science and machine learning with Python.
Project Work:
Throughout the course, students will work on hands-on projects to apply their knowledge and build practical skills.
The final month will be dedicated to a comprehensive project where students can demonstrate their proficiency in Python.
Assessment and Certification:
Regular assessments and quizzes to evaluate understanding.
A final project submission and presentation for course completion.
Support and Resources:
Dedicated faculty support for doubt clarification.
Learning resources, including documentation, tutorials, and additional reading materials.
Career Opportunities
Upon completion of the course, students will have a strong foundation in Python programming, making them eligible for various roles such as Python developer, data analyst, and more.
This course aims to equip students with a comprehensive understanding of Python, enabling them to pursue a career in software development, data science, or related fields.
