https://github.com/ondrejhruby/pythonessentials
A comprehensive guide to Python essentials, featuring a variety of code examples demonstrating basic to advanced concepts. This repository is ideal for beginners and intermediate learners looking to strengthen their Python programming skills through practical exercises.
https://github.com/ondrejhruby/pythonessentials
algorithms classes-and-objects data-structures functions jupyter-notebook programming python
Last synced: 2 months ago
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A comprehensive guide to Python essentials, featuring a variety of code examples demonstrating basic to advanced concepts. This repository is ideal for beginners and intermediate learners looking to strengthen their Python programming skills through practical exercises.
- Host: GitHub
- URL: https://github.com/ondrejhruby/pythonessentials
- Owner: ondrejhruby
- Created: 2023-02-15T21:36:24.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-03T18:28:27.000Z (9 months ago)
- Last Synced: 2025-01-21T21:07:07.868Z (4 months ago)
- Topics: algorithms, classes-and-objects, data-structures, functions, jupyter-notebook, programming, python
- Language: Jupyter Notebook
- Homepage:
- Size: 521 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Python Essentials
Welcome to the Python Essentials repository! This project is designed to help you understand the fundamental concepts of Python programming through practical examples and exercises. Whether you are a beginner or looking to refine your skills, this repository covers a wide range of topics essential for mastering Python.
## 📝 Introduction
This repository contains a Jupyter Notebook that demonstrates Python programming concepts, from basic syntax to advanced topics such as classes, functions, error handling, and more. The notebook is filled with comments and explanations to help you follow along and understand the code.
## 🚀 Getting Started
To get started, clone this repository to your local machine and follow the instructions below to set up and run the notebook.
## ✨ Features
- Basic Python syntax and operations
- Functions and error handling
- Classes and objects
- Data manipulation and algorithms
- Practical code examples with comments
- Suitable for beginners and intermediate learners
## 🧠 Skills Learned
By exploring the code examples in this repository, you will learn the following skills:
- **Basic Python Syntax**: Understanding variables, data types, and basic operations.
- **Control Flow**: Using `if`, `else`, `elif` statements, and loops (`for`, `while`) to control the flow of the program.
- **Functions**: Defining functions, passing arguments, and understanding return values.
- **Error Handling**: Using `try`, `except`, and `finally` blocks to handle exceptions and errors gracefully.
- **Data Structures**: Working with lists, dictionaries, sets, and tuples to store and manipulate data.
- **Object-Oriented Programming (OOP)**: Creating and using classes and objects, understanding inheritance, encapsulation, and polymorphism.
- **File Handling**: Reading from and writing to files using Python.
- **Algorithms**: Basic algorithmic concepts such as searching, sorting, and iteration.
- **Data Manipulation**: Performing operations on data structures and understanding list comprehensions.
- **Debugging**: Identifying and fixing errors in your code using print statements and debugging tools.
- **Using Jupyter Notebooks**: Running and writing code in Jupyter, understanding how to use cells, markdown, and visualization.
## 📋 Requirements
- Python 3.x
- Jupyter Notebook
- Required libraries as listed in the notebook (install via `pip` if necessary)
## 🛠️ Installation
1. Clone the repository:
```bash
git clone https://github.com/your-username/python-essentials.git
```
2. Navigate to the project directory:
```bash
cd python-essentials
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## ▶️ Usage
1. Launch Jupyter Notebook:
```bash
jupyter notebook
```
2. Open Python Essentials.ipynb in your browser.
3. Run the cells to execute the code and explore the examples.
## 🤝 Contributing
Contributions are welcome! If you have suggestions for improvements, please feel free to submit a pull request or open an issue. For major changes, please open an issue first to discuss what you would like to change.
1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a pull request
## 🙏 Acknowledgments
- [Python Documentation](https://docs.python.org/3/)
- [Jupyter Project](https://jupyter.org/)