https://github.com/giovananog/python-complete-course

Data science, automation, websites, games and apps
https://github.com/giovananog/python-complete-course

bootcamp python

Last synced: 16 days ago
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Data science, automation, websites, games and apps

• Host: GitHub
• URL: https://github.com/giovananog/python-complete-course
• Owner: giovananog
• Created: 2023-10-22T13:38:49.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-30T13:44:40.000Z (7 months ago)
• Last Synced: 2024-05-30T16:02:10.767Z (7 months ago)
• Topics: bootcamp, python
• Language: Jupyter Notebook
• Homepage:
• Size: 20 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Python Complete Course - 100 Days of Code

![GitHub repo size](https://img.shields.io/github/repo-size/giovananog/python-complete-course?style=for-the-badge)

![GitHub last commit](https://img.shields.io/github/last-commit/giovananog/python-complete-course?style=for-the-badge)







> This repository contains the projects and materials developed during the "100 Days of Python" course from Udemy. 





## 🖥️ Course Content

Master Python by building 100 unique projects over 100 days. The course covers:

1. **Python Programming Mastery**

   - Master the Python programming language through practical projects.

2. **Automation**

   - Learn to automate tasks using Python.

3. **Web Development**

   - Build fully fledged websites and web apps with Python.

4. **Game Development**

   - Create games like Blackjack, Pong, and Snake using Python.

5. **App Development**

   - Develop applications using Python.

6. **Data Science and Machine Learning**

   - Use Python for data science and machine learning projects.

7. **Libraries and Tools**

   - Learn to use popular Python libraries and tools: Selenium, Beautiful Soup, Requests, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.

## 💼 Course Goals

By the end of this course, you will:

- Be able to program in Python professionally.

- Create a portfolio of 100 Python projects to apply for developer jobs.

- Build fully fledged websites and web apps with Python.

- Use Python for data science and machine learning.

- Build games, GUIs, and desktop applications with Python.

## 📁 Repository Structure

The repository is organized into sections, each reflecting a different stage of the course:

- `beginner section`: Projects and materials for beginners.

- `intermediate section`: Intermediate level projects.

- `intermediate+ section`: Advanced intermediate projects.

- `advanced section`: Advanced projects.

- `data science section`: Projects focused on data science.

- `professional section`: Professional level projects.

- `web foundation section`: Projects related to web development.

  

## 🛠️ Technologies Used

- Python

- Selenium

- Beautiful Soup

- Requests

- Flask

- Pandas

- NumPy

- Scikit Learn

- Plotly

- Matplotlib

## 🌐 Course URL

[Udemy Course: 100 Days of Python](https://www.udemy.com/course/100-days-of-code/)