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I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on YouTube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.
To ensure smooth setup and execution of hands-on projects involving Spark, Kafka, Docker, Power BI, Azure, and other modern tools, please ensure your system meets the following minimum and recommended requirements.
| Component | Minimum (Manageable) | Recommended (For Smooth Experience) |
|---|---|---|
| Operating System | Windows 10 / macOS Monterey (12) / Ubuntu 20.04 | Windows 11 / macOS Ventura (13) or later / Ubuntu 22.04 or later |
| Processor (CPU) | Intel i3 / Ryzen 3 / Apple M1 or equivalent (2 cores) | Intel i5 / Ryzen 5 / Apple M2 or higher (4+ cores) |
| Memory (RAM) | 4 GB | 8 GB or more (Recommended: 16 GB for Docker workloads) |
| Storage | At least 15 GB free | SSD with 30 GB+ free space |
| Display Resolution | 1280 × 720 (HD) | 1440 × 900 or higher |
| Web Browser | Latest Chrome or Edge | Latest Chrome, Edge, Firefox, or Safari |
💡 A stable high-speed internet connection is recommended for video lessons, dataset downloads, and live sessions.
✅ This setup ensures full compatibility across Windows, macOS, and Linux for all tools used in the Data Engineering Bootcamp.
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