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📝 Practice Assignments
Sharpen your skills with real-world coding assignments. Submit your GitHub link to track your progress.
📋 4 assignments 🔒 Login to submit
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Input and Output Data Validation Schemas
🔵 Intermediate
To make sure you don't just read Pydantic — you actually use it. Every task here is a real problem …
BaseModel, BaseModel inheritance, Type Hints, Field(), gt, lt, ge, le, min_length, max_length, Optional, Literal, @field_validator
✅ 0 completed 👁 50 views
📅 Due 23 Jun
🔒 Premium
Python Data Operator Challenge — Build a Mini ETL Analyser
🟢 Beginner
Build a real-world ETL data analyser using Python operators. Filter, transform, aggregate and valid…
Operators Pandas Filtering Aggregation ETL DataTypes Conditions ListComp
✅ 2 completed 👁 103 views
📅 Due 21 Jun
🔒 Premium
Build a Real ETL Pipeline Using Pandas
🔵 Intermediate
This looks big. It is not. You already know every tool this project uses — pandas, Python, CSV file…
ETL pipeline, data cleaning, data transformation, pandas, Parquet, layered architecture, domain-driven design, data validation, method chaining, data quality
✅ 0 completed 👁 16 views
📅 Due 25 Jun
🔒 Premium
PySpark ETL Assignment — Retail Sales Data Cleaning & Aggregation
🔵 Intermediate
In this assignment, you'll build an end-to-end ETL pipeline using PySpark to extract raw retail sal…
PySpark, ETL, Data Cleaning, DataFrames, Aggregation, Window Functions, Parquet, CSV, Spark SQL Functions, Data Engineering
✅ 0 completed 👁 16 views
📅 Due 06 Jul