@datascibykashi: If you’re learning Python for Data Science, these are 6 techniques I actually use daily 👇 🐍 1. List Comprehension Clean, fast, and Pythonic way to transform data [x*2 for x in list] ⚡ 2. Lambda Functions Quick inline functions for small tasks lambda x: x + 1 📊 3. Pandas Filtering Filter datasets like a pro df[df["age"] > 25] 🧠 4. .apply() Function Run custom logic on columns df["col"].apply(func) 📁 5. try-except (Error Handling) Avoid crashes when handling messy data 🔁 6. enumerate() Loop with index + value for i, val in enumerate(list) 💡 Master these and you’ll move faster in your data science journey. Which one do you use the most? A) List Comprehension B) Pandas C) Lambda D) Still learning 👇 Comment A/B/C/D — I’ll tell you what to learn next. 📌 Save this for revision. Follow for daily Data Science & AI content. #creatorsearchinsights #pythontips #pythontips #codingtech #programminghacks

Data Scientist | Kashi

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Sunday 05 April 2026 10:11:53 GMT