Python

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 18)

Code. Learn. Repeat. Python Edition

Python Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# 30 Days of Python: From Zero to Python Pro

[![Python Logo](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)](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
```

```
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
```

```
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**:

## 🤝 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)

Python

Python Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Python

Python Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README