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Python
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Code. Learn. Repeat. Python Edition
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# 30 Days of Python: From Zero to Python Pro [](https://www.python.org/) A structured, project-based learning path to master Python programming in 30 days. Each day focuses on specific concepts with hands-on examples and exercises. ## 📚 Overview This curriculum is designed to take you from absolute beginner to proficient Python developer through: - **Daily focused lessons** with code examples - **Progressive difficulty** building on previous knowledge - **Practical projects** to reinforce learning - **Comprehensive documentation** in each folder ## 🗓 Curriculum | Day | Topic | Key Concepts | |-----|-------|--------------| | 1 | Python Basics | `print()`, variables, input | | 2 | Data Types | Strings, numbers, booleans | | 3 | Control Flow | if/elif/else statements | | 4 | Loops | for/while, range | | 5 | Functions | Definition, parameters, return | | 6 | Lists & Tuples | List methods, tuple unpacking | | 7 | Dictionaries & Sets | Key-value pairs, set operations | | 8 | File Handling | Read/write files, context managers | | 9 | Error Handling | try/except/finally | | 10 | Modules | Importing, __name__ | | 11 | OOP Basics | Classes, objects | | 12 | Advanced OOP | Inheritance, polymorphism | | 13 | Built-in Functions | map, filter, reduce | | 14 | List Comprehensions | Compact list creation | | 15 | Decorators | Function decoration | | 16 | Generators | yield, memory efficiency | | 17 | Regular Expressions | Pattern matching | | 18 | API Interaction | Requests library | | 19 | Virtual Environments | venv, pipenv | | 20 | Package Management | pip, requirements.txt | | 21 | Scripting Project | Real-world automation | | 22 | NumPy Basics | Array operations | | 23 | Pandas Basics | DataFrames, CSV | | 24 | Data Visualization | Matplotlib | | 25 | Web Scraping | BeautifulSoup | | 26 | Web Basics | Flask/Django intro | | 27 | Databases | SQLite integration | | 28 | Testing | Unit tests, pytest | | 29 | Debugging | pdb, logging | | 30 | Final Project | Full-stack application | ## Python Installation: ## 📌 Windows Installation ### 1️⃣ Download & Install Python 1. Visit [Python's official website](https://www.python.org/downloads/). 2. Download the latest **Windows Installer**. 3. Run the installer and check the box **"Add Python to PATH"**. 4. Click **Install Now** and wait for the installation to complete. ### 2️⃣ Verify Installation - Open **Command Prompt (cmd)** and type: ``` python --version ``` OR ``` python3 --version ``` > If Python is installed correctly, it will show the version number. ### 3️⃣ Running Python - Open **Command Prompt** and type `python` to open the interactive shell. - Type `exit()` to quit. - To run a script, save a file as `script.py` and run: ``` python script.py ``` ### 4️⃣ Install VS Code (Recommended IDE) 1. Download **VS Code** from [https://code.visualstudio.com/](https://code.visualstudio.com/). 2. Install the **Python Extension** from the Extensions Marketplace. 3. Open your Python script in VS Code and press **F5** to run. --- ## 🍏 macOS Installation ### 1️⃣ Install Python #### Using Homebrew (Recommended) 1. Install Homebrew (if not installed): ``` /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" ``` 2. Install Python: ``` brew install python ``` #### Using Official Installer 1. Download Python from [Python.org](https://www.python.org/downloads/mac-osx/). 2. Run the installer and follow the instructions. ### 2️⃣ Verify Installation - Open **Terminal** and type: ``` python3 --version ``` > If Python is installed correctly, it will show the version number. ### 3️⃣ Running Python - Open **Terminal**, type `python3` to start interactive mode. - To run a script: ``` python3 script.py ``` ### 4️⃣ Install VS Code (Recommended IDE) 1. Install **VS Code** from [https://code.visualstudio.com/](https://code.visualstudio.com/). 2. Install the **Python Extension** from Extensions Marketplace. 3. Open a Python file in VS Code and press **F5** to run. --- ## 🐧 Linux Installation ### 1️⃣ Install Python #### On Debian-based (Ubuntu, Mint, etc.) ``` sudo apt update && sudo apt install python3 python3-pip -y ``` #### On Fedora ``` sudo dnf install python3 python3-pip -y ``` #### On Arch Linux ``` sudo pacman -S python python-pip ``` ### 2️⃣ Verify Installation ``` python3 --version ``` > If Python is installed correctly, it will show the version number. ### 3️⃣ Running Python - Open **Terminal**, type `python3` to start interactive mode. - To run a script: ``` python3 script.py ``` ### 4️⃣ Install VS Code (Recommended IDE) 1. Install **VS Code**: ``` sudo snap install --classic code # Ubuntu ``` OR ``` sudo dnf install code # Fedora ``` 2. Install the **Python Extension** from Extensions Marketplace. 3. Open a Python file in VS Code and press **F5** to run. --- ## ✅ Running Python Scripts - Write a Python script and save it as `script.py`. - Run it using the appropriate command: - **Windows:** `python script.py` - **macOS/Linux:** `python3 script.py` ## 🛠 Usage 1. **Daily Structure**: - Each folder contains: - `README.md` with concept explanations - Code examples (.py files) - Practice exercises - Spend 2-3 hours daily: - Read the README first - Experiment with code files - Complete exercises 2. **Requirements**: - Python 3.x - Code editor (VS Code/PyCharm) - Terminal basics 3. **Getting Started**: ```bash git clone https://github.com/Zemerik/Python.git cd Python ``` ## 💡 Tips for Success 1. **Code Daily**: Consistent practice > marathon sessions 2. **Experiment**: Modify examples and break things 3. **Take Notes**: Document your learnings 4. **Build Projects**: Expand beyond provided examples 5. **Join Community**: <a href = "https://discord.gg/UF9KsmuGbr"> <img src = "https://invidget.switchblade.xyz/UF9KsmuGbr"> </a> ## 🤝 Contributing Found an issue or want to improve the content? 1. Fork the repository 2. Create your feature branch 3. Commit your changes 4. Push to the branch 5. Open a Pull Request ## 📜 License MIT License - Feel free to use and modify for personal/commercial use _ _ _ - 📢 “The only way to learn a new programming language is by writing programs in it.” – Dennis Ritchie (Creator of C)
