A course you'll actually finish. The only Python curriculum you need to go from absolute beginner to a job-ready professional developer.
This repository provides the curriculum overview for The Complete Python Programming Course by Yodo.me. It's designed for anyone tired of fragmented tutorials and looking for a structured, hands-on learning experience that leads to real results.
This curriculum was engineered to solve the biggest problems that stop aspiring developers in their tracks:
- โ Project-Based Learning: Forget "tutorial hell." From day one, you will be building real projects. Every piece of theory is immediately put into practice.
- ๐ Comprehensive Curriculum: With 100+ projects and 60+ hours of content, you'll follow a clear path from basic syntax to building full-stack web applications, analyzing data, and creating automation scripts.
- ๐ ๏ธ Modern Tech Stack: You will master the tools and libraries that are in demand right now: Flask, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, and more.
- โจ Lifetime Updates: Technology evolves, and so does this course. You get access to all future updates, ensuring your skills remain relevant.
The program is structured to systematically build your skills and confidence.
You won't just learn what a variable or a loop is. You will immediately use them to build fun, engaging projects.
- Topics Covered: Variables, Data Types, Control Flow, Loops, Functions, Dictionaries, Debugging.
- Projects:
- Hangman Game
- Caesar Cipher
- Secret Auction Program
- Blackjack Game
In this phase, you'll move beyond the console and start working with Object-Oriented Programming (OOP) and Graphical User Interfaces (GUIs).
- Topics Covered: OOP, GUI Development (with Turtle), Event Handling, File I/O, Error Handling.
- Projects:
- Quiz App
- Turtle Racing
- Pong Game
- Snake Game
Dive deep into the most in-demand fields in tech by building portfolio-worthy projects.
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๐ Web Development:
- Technologies:
HTML,CSS,Flask,REST APIs,Git - What you'll build: Full-stack web applications, blogs, business websites, and learn to work with third-party APIs.
- Technologies:
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๐ฌ Data Science & Machine Learning:
- Technologies:
Pandas,NumPy,Matplotlib,Seaborn - What you'll build: Projects analyzing real-world data, creating stunning data visualizations, and building predictive models.
- Technologies:
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๐ค Automation & Web Scraping:
- Technologies:
Beautiful Soup,Selenium - What you'll build: Bots to scrape data from websites, automate repetitive tasks, and interact with web services.
- Technologies:
| Category | Technologies & Tools |
|---|---|
| Language | Python 3 |
| Web Dev | Flask, HTML5, CSS3, REST APIs, APIs |
| Data Science | Pandas, NumPy, Matplotlib, Seaborn |
| Automation | Selenium WebDriver, Beautiful Soup |
| Desktop/GUI | Tkinter, Turtle |
| Development | PyCharm, Jupyter Notebook, Git, GitHub |
Stop jumping between tutorials and commit to a single, comprehensive path that will give you the skills and the portfolio to achieve your goals.