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Learn how to write efficient Python code as a data scientist.

1. How To Write Python Clean Code [Article]
2. Write Efficient Python Code: Defining & Measuring Code Efficiency [ Article | Code | Kaggle Notebook]
3. Write Efficient Python Code: Optimizing Your Code [ Article | Code | Kaggle Notebook ]
4. How To Eliminate Loops From Your Python Code [Article | Code | Kaggle Notebook ]
5. 5 Tips to Write Efficient Python Functions | Article | Kaggle Notebook
6. How to Use Caching to Speed Up Your Python Code & LLM Application | Article

5. Best Practices To Use Pandas Efficiently As A Data Scientist [Article | Notebook] | Kaggle Notebook
6. Stop Looping Through Pandas DataFrames & Do This Instead [Article | Notebook ] | Kaggle Notebook
7. Selecting & Replacing Values In Pandas DataFrame Effectively [Article | Notebook ] | Kaggle Notebook
8. How To Use .groupby() Effectively For Data Transformation As A Data Scientist [Article | Notebook] | Kaggle Notebook
9. 20 Pandas Functions for 80% of Your Data Science Tasks [Article | Notebook] | Kaggle Notebook
10. Data Exploration Becomes Easier & Better With Pandas Profiling [Article | Notebook] | Kaggle Notebook
11. Make Your Pandas Code 1000 Times Faster With This Trick Article | Notebook | Kaggle Notebook
12. Mastering Pandas Vectorization: Tips and Tricks for Maximizing Data Processing Efficiency | Kaggle Notebook
13. Maximizing Pandas Efficiency: Top 10 Mistakes to Steer Clear of in Your Code | Kaggle Notebook