Learning Python Step by Step with Jupyter Notebooks in VS Code

Welcome to the "Learning Python Step by Step" guide! This repository is designed to help you learn Python programming from scratch, using Visual Studio Code (VS Code) as your development environment for Jupyter Notebooks.

Table of Contents

1. Introduction
2. Prerequisites
3. Getting Started with VS Code
4. How to Use
5. Contents
6. Contributing
7. License

Introduction

Python is a versatile and beginner-friendly programming language used in various fields, including web development, data analysis, machine learning, and more. This guide aims to provide you with a structured learning path using Jupyter Notebooks within the VS Code environment, which offers a powerful and integrated experience for Python development.

Prerequisites

Before you begin, make sure you have the following prerequisites:

• Visual Studio Code installed. You can download it here.
• The Python extension for VS Code installed.
• Basic knowledge of using VS Code. -Install Jupyter notebooks extension in VS Code

Getting Started with VS Code

To start your Python learning journey with VS Code and Jupyter Notebooks, follow these steps:

1. Clone this repository to your local machine: git clone https://github.com/venkymanda/Python-Learning-Step-By-Step
2. Open VS Code and navigate to the repository's directory.
3. Open the first Jupyter Notebook, "01-Introduction-to-Python.ipynb," by double-clicking on it.
4. You will be prompted to select a Python interpreter. Choose your preferred Python 3.x interpreter.
5. Start learning and coding in the Jupyter Notebook within VS Code!

How to Use

Each notebook in this repository covers a specific topic or concept related to Python programming. Follow the notebooks in sequential order to build your Python skills progressively. You can run code cells directly within VS Code and see the results in the integrated Jupyter Notebook interface.

Contents

Here's an overview of the notebooks included in this guide:

1. Introduction to Python
2. Variables and Data Types
3. Control Flow and Loops
4. Functions and Modules
5. Data Structures
6. File Handling
7. Error Handling
8. Object-Oriented Programming (OOP)
9. Working with Libraries and Packages

Contributing

If you find any issues, have suggestions, or want to contribute additional content to this guide, please feel free to open an issue or submit a pull request. Your contributions are welcome!

License

This repository is licensed under the MIT License.

Enjoy your Python learning journey with VS Code and Jupyter Notebooks!