2020 Complete Python Bootcamp: From Zero To Hero In Python !free! Online
If you do that, you will actually go from zero to hero. If you stop here, you’ll just be a very well-trained zero.
Take this course for syntax, logic, and OOP fundamentals. Do every single exercise without peeking at the solution. Finish the Tic-Tac-Toe project. Then, immediately take a modern 3-hour course on Python 3.12 features and a separate bootcamp on Flask or Django. 2020 complete python bootcamp: from zero to hero in python
But four years after its "2020" timestamp, and several Python updates later, is this bootcamp a timeless foundation or a dated relic? We dissected the 24-hour behemoth to find out. The course’s genius lies not in originality, but in architecture. Portilla doesn’t throw you into the deep end. Instead, he builds the ocean. If you do that, you will actually go from zero to hero
Here, the training wheels come off. if , elif , else statements, for and while loops, and list comprehensions are covered with repetitive, muscle-memory drilling. The "Milestone Project 1" (a Tic-Tac-Toe game) forces you to glue these pieces together. It’s frustrating, messy, and exactly what real coding feels like. Do every single exercise without peeking at the solution
Because Python 3.6+ is the stable standard, the course hasn't aged poorly. You won't learn async/await or the newest match statements (Python 3.10+), but you will learn the 95% of Python that hasn't changed in a decade. The Cracks in the Armor 1. The "2020" Problem The title is a marketing anchor. The course was last majorly updated in 2020. You will miss modern patterns: pathlib over os.path , f-strings (he covers them briefly, but they weren't the focus), and type hinting. A student finishing this course today will still need a "What's New in Python 3.11/3.12" YouTube video.
For a true "zero," the first six hours are perfect. For a "hero" (someone who has written a few scripts), the first 12 hours are torture. The repetition that helps novices will bore intermediates.
The "Hero" section covers modules, packages, errors, debugging, unit tests, file I/O, decorators, and generators. Finally, he introduces real world libraries: NumPy for numbers, Pandas for data frames, and Matplotlib for plotting. The Verdict: Where it Wins 1. The "Stickiness" Factor Most coding courses have a 15% completion rate. This one breaks the curve because of Portilla’s tone. He never sounds like a lecturer; he sounds like a senior coworker pair-programming with you. When he says, "Don't worry if this doesn't make sense yet," you actually believe him.
