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Learn Python Runnable examples, NumPy, pandas, and more Learn AINeural networks, ML and LLMs from scratch Learn C & C++ Pointers, memory, STL, and modern C++ Learn C#C# basics, OOP, LINQ, async, and .NET exercises Python Algorithms Search, sorting, recursion, and visualizers O(n) C & C++ Algorithms Compare algorithms implemented in C and C++
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Data analysis with NumPy and pandas
Arrays, statistics, matrices and DataFrames, then the same ideas in machine learning challenges.
Start the path →- Lesson 3 challenges NumPy Array Create NumPy arrays and inspect their shape, size, and data type online.
- Lesson 3 challenges NumPy Mean, Median, and Standard Deviation Calculate descriptive statistics with NumPy and run the example online.
- Lesson 3 challenges NumPy Matrix Multiplication Multiply two matrices online with NumPy matmul and the @ operator.
- Lesson 1 challenge pandas DataFrame Create and inspect a pandas DataFrame in an online Python IDE.
- Lesson 1 challenge Filter pandas DataFrame Rows Filter DataFrame rows with one or more pandas conditions.
- Lesson 2 challenges pandas GroupBy Group DataFrame rows and calculate aggregated values with pandas.