Python Data Mastery: Performance, Pipelines & Advanced Pandas
Make pandas code fast, lean and trustworthy: vectorization costs, dtypes and categoricals, MultiIndex, window functions, safe merges, data-quality checks and reproducible pipelines, with every answer checked as you go.
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About this course
This advanced course is for people who already use pandas and want code that is fast, lean and trustworthy. In 20 labs you read real Python code and compute exactly what it returns: you measure what a Python loop costs against a vectorized expression, shrink memory with downcast dtypes and categoricals, select from a MultiIndex, reshape with unstack, and work with transform, rolling, time-based and ewm windows. You catch row explosions in merges with validate, write data-quality checks that see the NaN trap, combine chunked results correctly and build reproducible splits. A capstone pipeline and a 15-question exam lead to the certificate, and the first lesson is free.
Lessons
- Vectorization vs Loops: Measure What a Python Loop CostsFree
- dtypes and Memory: Downcast Integers Safely Locked
- Categoricals: When Strings Get Cheap (and When They Do Not) Locked
- Vectorized Conditions: np.where and np.select Locked
- apply, iterrows and the Hidden Python Loop Locked
- Copy-on-Write and Safe Assignment with .loc Locked
- MultiIndex: Select by Tuple, Cross-Section and Level Locked
- stack, unstack and pivot: Reshape Without Loops Locked
- groupby transform: Group Statistics on Every Row Locked
- Rolling Windows: window, min_periods and center Locked
- expanding and ewm: Running Records and Smoothing Locked
- Time-Based Windows: rolling("3D") on Irregular Dates Locked
- shift, diff and pct_change per Group Locked
- Ranking Within Groups: rank Methods and Top-N per Group Locked
- merge with validate: Catch Row Explosions Before They Count Twice Locked
- Data Quality Checks: Duplicates, Ranges and the NaN Trap Locked
- Method Chaining and .pipe: Pipelines You Can Read Locked
- Chunked Processing: Combine Partial Results Correctly Locked
- Reproducible Results: Seeds, Key-Based Splits and Stable Sorts Locked
- Capstone: The Larkspur Weekly Revenue Pipeline Locked