Udemy 2020 Complete Python Bootcamp: From Zero To Hero In Python Videos [repack] -

✅ – Most coding is done in Jupyter, which lets you run small chunks of code and see results immediately. Perfect for experimentation.

Here’s a helpful, honest blog post about the Udemy 2020 Complete Python Bootcamp: From Zero to Hero in Python course. Even though the "2020" edition is a few years old, the content remains incredibly relevant for beginners. If you’ve searched for Python courses on Udemy, you’ve almost certainly seen it: "2020 Complete Python Bootcamp: From Zero to Hero in Python" by Jose Portillo (often referred to as "Jose Portilla"). ✅ – Most coding is done in Jupyter,

If you’re a complete beginner looking for a thorough, well-explained, and affordable introduction to Python, this course remains one of the best on Udemy. The "2020" label is misleading – the content is timeless for fundamentals. Even though the "2020" edition is a few

✅ – Pay once, watch anytime. Udemy runs frequent sales, so you can get it for $10–$20. The "2020" label is misleading – the content

⚠️ – For example, the web scraping section uses older BeautifulSoup patterns (still fine, but modern practices differ slightly). Who Is This Course For? | You’ll love this if… | Look elsewhere if… | |----------------------|---------------------| | You’ve never written a line of code | You want to build web apps or data science models | | You want a gentle, slow-paced intro to Python | You prefer text-based tutorials over video | | You learn best by watching and then trying | You need hundreds of interactive coding challenges | | You want a solid foundation before moving to Django, Flask, or pandas | You’re already comfortable with loops, functions, and classes | Final Verdict: Still a Great Buy in 2026? Yes – with one caveat.

✅ – Videos are well-edited, with on-screen text and clean visuals. No distracting background noise.

✅ – Python 3.8–3.12 differences are minimal for beginners. The libraries used (like BeautifulSoup4, requests) are still standard. The Not-So-Good (Cons) ⚠️ No advanced topics – This is strictly beginner to intermediate. Don't expect web frameworks (Django/Flask), data science (pandas/numpy), or automation beyond basics.