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StarLab: Beginner Python Course with Jupyter Notebooks Course Overview: The StarLab course is designed to introduce beginners to Python programming in a hands-on and interactive way. With 17 lessons, and 17 practical projects, the course covers core Python fundamentals using Jupyter Notebook

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Beginner Python Course with Jupyter Notebooks

Welcome to the Beginner Python Course, designed to help you master Python fundamentals while building practical projects! This course combines 17 video tutorials, 17 lessons, and 17 projects, all using Jupyter Notebooks for an interactive coding experience. 📚 Course Overview

Python is one of the most versatile and widely-used programming languages today. This course is tailored for absolute beginners and covers essential programming concepts step-by-step, culminating in hands-on projects to solidify your understanding. What You'll Learn:

Python Basics: Variables, data types, operators, and more.
Flow Control: Loops, conditionals, and functions.
Data Structures: Lists, tuples, dictionaries, and sets.
File Handling: Reading from and writing to files.
Modules and Libraries: Using Python's extensive libraries.
Introduction to Object-Oriented Programming (OOP).
Debugging and Best Practices in Python.

🛠️ Course Contents

  1. Video Tutorials

Each topic is explained in a short, engaging video (5–15 minutes) that covers key concepts and practical examples. 2. Lessons

Complementary text-based lessons are provided in Jupyter Notebooks, allowing you to learn interactively. Each lesson includes:

Theory and explanations.
Code snippets and examples.
Guided exercises.
  1. Projects

Practice what you've learned by building small, real-world projects for each lesson. Examples include:

Calculator App
To-Do List Manager
Simple Web Scraper
Guess-the-Number Game
Basic Data Visualization with Matplotlib

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StarLab: Beginner Python Course with Jupyter Notebooks Course Overview: The StarLab course is designed to introduce beginners to Python programming in a hands-on and interactive way. With 17 lessons, and 17 practical projects, the course covers core Python fundamentals using Jupyter Notebook

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