Advancing AI - 13 Tips for Writing Clean Code with Databricks!
👩💻13 Essential Tips for Writing Clean Code with Databricks! 🚀
In this video, we dive deep into the "13 Essential Tips for Writing Clean Code" from the MLOps Gym Series blog. Whether you're a data scientist, AI developer, or just passionate about clean coding practices, this video is packed with invaluable insights to enhance your coding skills and optimise your workflows.
🔍 What You'll Learn:
00:00 Hey everyone!
02:54 Tip 1: Use the Notebook built-in formatter 📄
03:43 Tip 2: Efficient version control with Databricks Repos 🔄
06:11 Tip 3: Leveraging IDEs for better code management 💻
06:56 Tip 4: Ensuring your notebook runs error-free with "Clear state and run all" 🛠️
07:37 Tip 5: Capturing runtime and cluster configurations for consistency ⚙️
10:02 Tip 6: Managing inputs and outputs effectively 🎛️
11:00 Tip 7: Cleaning up display and print statements for leaner code 🧹
12:04 Tip 8: Writing assert statements for robust testing ✔️
12:49 Tip 9: Removing orphaned cells and unnecessary code ⛔
13:38 Tip 10: Take note of your cells’ running times and optimize or refactor the longest ones ⏱️
14:23 Tip 11:Remove any line or cell magics 🧙
15:10 Tip 12: Remove any hard-coded variables 🔧
15:29 Tip 13: Remove repetitive code🔁
📚 Read the Full Blog: https://community.databricks.com/t5/t...
💬 Share your thoughts and coding tips in the comments below. Have any questions? Drop them, and we'll be happy to help!
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