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Practice your Python skills on Upskly's online Python compiler

An empty notebook is intimidating. Upskly's Python compiler ships with a 27-topic Practice Library and 1,100+ curated questions, so there's always a real next thing to solve.

1,186 questions across 27 real topics, three phases

The Python notebook has a dedicated Practice Notebooks library – each topic imports straight into the notebook as its own cell, no grading, free practice. Counted directly from the library: 1,186 questions in total.

Upskly's Python Practice Library showing 27 topics across three phases with real per-topic question counts
Phase 1 of the Python Practice Library – each row is a real topic with its own question count.

Phase 1 · Python Fundamentals (10 topics)

Core language – no imports needed for any of these.

  • Variables, Data Types & Operators (32)
  • Strings & String Methods (35)
  • Conditionals — if / elif / else (34)
  • Loops & Loop Control (42)
  • Functions (39)
  • List & List Comprehension (44)
  • Tuples & Sets (37)
  • Dictionaries & Dict Comprehension (41)
  • Error Handling (38)
  • Recursion (40)

Phase 2 · Intermediate Python (5 topics)

Still no external libraries – language features that come up constantly in real code.

  • OOP Basics — Classes & Objects (44)
  • Lambda, Map, Filter & Reduce (42 + 45 in a second set)
  • File Handling (40)
  • Modules & Imports (36)

Phase 3 · Data Toolkit Pipeline (12 topics)

Setup loads a real library or dataset – this is where it turns into actual data work, including full exploratory-analysis passes on real datasets like Palmer Penguins, White Wine Quality and Titanic:

  • NumPy Fundamentals (52)
  • Pandas Basics — Series & DataFrame (55)
  • Data Cleaning with Pandas (41)
  • GroupBy & Aggregation (46 + 48 in a second set)
  • Merging & Joining DataFrames (39)
  • Dates & Time Series (48)
  • Data Visualization — Matplotlib & Seaborn (48)
  • Palmer Penguins — Data Analysis (59)
  • Palmer Penguins — Statistics (69)
  • White Wine Quality — Statistical Analysis (52)
  • Titanic — Exploratory Data Analysis (40)

A daily challenge too, right above the notebook

On top of the Practice Library, the Python notebook opens with a Today’s Challenge banner – a new problem each day, with a streak counter and a link straight into it.

Open the Python compiler and start practicing →