: Essential libraries for creating static and statistical visualizations.
: Use NumPy arrays instead of loops to speed up code. Data Science Essentials in Python
: Use meaningful variable names (e.g., df_sales instead of df1 ). : Essential libraries for creating static and statistical
📍 : Start with Pandas. If you can clean and manipulate data, you’ve already won 80% of the battle. To help you get hands-on, tell me: Data Science Essentials in Python