30 Days of Python: From Zero to Python Pro

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.
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/.
2. Install the Python Extension from the Extensions Marketplace.
3. Open your Python script in VS Code and press F5 to run.

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🍏 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.
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/.
2. Install the Python Extension from Extensions Marketplace.
3. Open a Python file in VS Code and press F5 to run.

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🐧 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.

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✅ 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:

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

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• 📢 “The only way to learn a new programming language is by writing programs in it.” – Dennis Ritchie (Creator of C)