In this series, we will take a comprehensive tour to explore how to code efficiently with examples in Python & R, delving into best practices, optimizing algorithms, and understanding data structures to enhance your programming skills. Through a step-by-step approach, this series will provide real-world applications that demonstrate the power of writing clean, maintainable code in these languages, while also highlighting common pitfalls to avoid along the way. Whether you are a beginner or an experienced developer, you’ll find valuable insights and techniques that can help you to streamline your coding process and improve your overall productivity.
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How to open a jupyter notebook in Google Drive/Github using Colab