Python Basics Lecture Course

Welcome to the Python Basics Lecture Course at State University of Moldova! This course is designed to introduce students to the fundamentals of Python programming, providing them with a strong foundation to build upon for advanced computer science studies.

📚 Course Overview

This course covers essential topics that are foundational to understanding Python and programming concepts. Whether you're completely new to programming or have some prior experience, this course will guide you through:

• Introduction to Python: Basic syntax, variables, and data types.
• Control Structures: Conditional statements, loops, and error handling.
• Functions: Defining and using functions, including built-in Python functions.
• Data Structures: Lists, dictionaries, tuples, sets, and more.
• Object-Oriented Programming (OOP): Classes, inheritance, and polymorphism.
• File Handling: Reading from and writing to files.
• Regular Expressions: Working with pattern matching.
• Libraries and Tools: Introduction to useful libraries like NumPy, Pandas, and Matplotlib.

By the end of this course, students will have a strong understanding of Python and the skills necessary to start working on real-world projects.

🌟 Features

• Practical Examples: Learn by doing with code examples and exercises.
• Project-Based Learning: Build small projects to apply what you've learned.
• Interactive Lectures: Engage in hands-on coding during every class.
• Supportive Community: Join fellow students in the course forum for questions and collaboration.

💻 Prerequisites

No prior programming experience is required. This course is beginner-friendly, and we will take you step-by-step through Python's core features.

🚀 Learning Outcomes

By the end of this course, students will:

• Be able to write clean, Pythonic code.
• Understand and apply Python’s core programming constructs.
• Be familiar with object-oriented programming principles.
• Know how to manipulate data using Python's built-in data structures.
• Have experience working with Python libraries to perform data analysis and visualization.

📈 Assessment

Students will be assessed based on:

• Assignments: Weekly coding challenges to reinforce concepts.
• Projects: Apply skills in real-world programming tasks.
• Quizzes: Short quizzes to test your knowledge.

📑 How to Get Started

1. Clone the repository:
   git clone https://github.com/sharishi/python-basics.git

2. Install Dependencies:
   Install any necessary Python packages using:

   pip install -r requirements.txt
   

3. Follow the Lectures:
   Check out the lecture materials and start working on exercises in each section.

4. Ask Questions:
   Join the course community and ask any questions you have.

🧑‍🏫 About the Instructor

We hope you enjoy the course and gain valuable programming skills that will serve you throughout your career. Let’s get started!