Data Science Advent Calendar

24 days of cards, each day unlocking resources, libraries, books, or clever coding tips.

1 DataFrame vs Series in pandas

#

2 Read CSV + peek rows (pandas)

#

3 `loc` vs `iloc` (pandas)

#

4 Handle missing values (pandas)

#

5 Group & aggregate (pandas)

#

6 Broadcasting (NumPy)

#

7 Index & slice ND arrays (NumPy)

#

8 Convert between NumPy and pandas

#

9 Elegant legend (matplotlib)

#

10 Log scales & axis tricks (matplotlib)

#

11 Inset/secondary view (matplotlib)

#

12 Scatter + regression (seaborn)

#

13 Style & palette (seaborn)

#

14 Box & violin plots (seaborn)

#

15 Quick EDA combo (pandas + seaborn)

#

16 Speed tips on big tables (pandas)

#

17 Concatenate vs merge/join (pandas)

#

18 Pivot vs melt (pandas)

#

19 Titles, labels, annotations (matplotlib)

#

20 Save high-resolution figures (matplotlib)

#

21 Unique values & counts (pandas)

#

22 Datetime index & resampling (pandas)

#

23 Categorical features (pandas)

#

24 Clean multi-subplot layouts (matplotlib)

#